Publications

S. Ahmad, Z. Ullah, J. Gwak, “Multi-Teacher Cross-Modal Distillation with Cooperative Deep Supervision Fusion Learning for Unimodal,” Knowledge-Based Systems, 2024, in press. (JCR 2023 IF=8.8, Q1 in Computer science, Artificial Intelligence, Top 12.8%)

B. Kim, I. Kim, N. Kim, C. Park, R. Oh, and J. Gwak, “SeMA-UNet: A Semi-Supervised Learning with Multimodal Approach of UNet for Effective Segmentation of Key Components in Railway Images,” Journal of Electrical Engineering & Technology, pp. 1-14, 2024, in press. (JCR 2023 IF=1.9, Q3 in Engineering, Electrical & Electronic)

Y. Jeon, J. Kang, B.C. Kim, K.H. Lee, J.I. Song, and J. Gwak, “Smart Insole-Based Classification of Alzheimer’s Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning,” IEEE Transactions on Consumer Electronics, 2024, in press. (JCR 2023 IF=4.3, Q2 in Engineering, Electrical & Electronic)

B. Kim, J.W. Kang, C.S. Kim, O.K. Kwon, and J. Gwak, “Hybrid Transformer for Anomaly Detection on Railway HVAC Systems Through Feature Ensemble of Spatial–Temporal with Multi-channel GADF Images,” Journal of Electrical Engineering & Technology, pp. 1-13, 2024, in press. (JCR 2023 IF=1.9, Q3 in Engineering, Electrical & Electronic)

N. Jan, J. Gwak*, M. Deveci, V. Simic, and J. Antucheviciene, “Mathematical Analysis of Big Data Analytics Under Bipolar Complex Fuzzy Soft Information,” Applied Soft Computing, vol. 157, art. no. 111481, 2024. (JCR 2023 IF=8.7, Q1 in Computer science, Interdisciplinary Applications, Top 10.5%)

N. Jan, J. Gwak*, D. Pamucar, and H. Kang, “An Integrated Complex T-Spherical Fuzzy Set and Soft Set Model for Quantum Computing and Energy Resource Planning,” Information Sciences, vol. 661, art. no. 120101, 2024. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)

N. Jan, J. Gwak*, S. Hussain, and A. Nasir, “Mathematical Investigation of Communication and Network Securities Under Interval-Valued Complex Spherical Fuzzy Information,” International Journal of Fuzzy Systems, vol. 26, no. 1, pp. 87-104, 2024. (JCR 2023 IF=4.3, Q2 in Automation & Control Systems)

Z. Khan, J. Gwak, N. Iltaf, W. Pedrycz, and M. Jeon, “RPf-GCNs: Reciprocal Perspective Driven Fused GCNs for Rumor Detection on Social Media,” Journal of Big Data, vol. 11, no. 1, 2024. (JCR 2023 IF=8.1, Q1 in Computer Science, Theory & Methods, Top 6.8%)

M. Kim, S. Jang, D. Lee, S. Lee, J. Gwak, S.C. Jun, and J.G. Kim, “A comprehensive research setup for monitoring Alzheimer’s disease using EEG, fNIRS, and Gait analysis,” Biomedical Engineering Letters, vol. 14, no. 1, pp. 13-21, 2024. (JCR 2023 IF=4.6, Q2 in Engineering, Biomedical)

N. Jan, J. Gwak*, D. Pamucar, and L. Martínez, "Hybrid Integrated Decision-Making Model for Operating System Based on Complex Intuitionistic Fuzzy and Soft Information," Information Sciences, vol. 651, Art. no. 119592, Dec. 1, 2023. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)

X. Hu, Y. Jeon, and J. Gwak*, "FFTransMOT: Feature-Fused Transformer for Enhanced Multi-Object Tracking," IEEE Access, vol. 11, pp. 130060-130071, 2023. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

Z. Rauf, A. R. Khan, A. Sohail, H. Alquhayz, J. Gwak*, and A. Khan, "Lymphocyte Detection for Cancer Analysis Using a Novel Fusion Block Based Channel Boosted CNN," Scientific Reports, vol. 13, no. 1, art. no. 14047, 2023. (JCR 2023 IF=4.6, Q2 in Multidisciplinary Sciences)

N. Jan, J. Gwak*, D. Pamucar, “A Robust Hybrid Decision Making Model for Human-Computer Interaction in the Environment of Bipolar Complex Picture Fuzzy Soft Sets,” Information Sciences, vol. 645, art. no. 119163, 2023. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)

Z. Ullah, M. Usman, S. Latif, A. Khan, and J. Gwak*, “SSMD-UNet: Semi-supervised Multi-Task Decoders Network for Diabetic Retinopathy Segmentation,” Scientific Reports, vol. 13, article no. 9087, 2023. (JCR 2023 IF=4.6, Q2 in Multidisciplinary Sciences)

Y. Jeon, J. Kang, B-C. Kim, K-H. Lee, J-I. Song, J. Gwak*, “Early Alzheimer’s Disease Diagnosis using Wearable Sensors and Multilevel Gait Assessment: A Machine Learning Ensemble Approach,” IEEE Sensors, vol. 23, no. 9, pp. 10041-10053, 2023. (JCR 2023 IF=4.3, Q1 in Instruments & Instrumentation)

M. U. Farooq, Z. Ullah, A. Khan and J. Gwak*, “DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs,” Computers in Biology and Medicine, vol. 167, p. 107570, 2023. (JCR 2023 IF=5.7, Q1 in Radiology, Mathematical & Computational Biology, Top 6.4%)

N. Jan, J. Gwak*, and D. Pamucar*, “Mathematical analysis of generative adversarial networks based on complex picture Fuzzy Soft Information,” Applied Soft Computing, vol. 137, p. 110088, 2023. (JCR 2023 IF=8.7, Q1 in Computer science, Interdisciplinary Applications, Top 10.5%)

J. Gwak, H. Garg, N. Jan, “Investigation of Robotics Technology Based on Bipolar Complex Intuitionistic Fuzzy Soft Relation,” International Journal of Fuzzy Systems, 2023. https://doi.org/10.1007/s40815-023-01487-0 (JCR 2023 IF=4.3, Q2 in Automation & Control Systems)

M. L. Ali, Z. Rauf, A. Khan, A. Sohail, R. Ullah, and J. Gwak*, “CB-HVT Net: A channel-boosted hybrid Vision Transformer network for lymphocyte detection in histopathological images,” IEEE Access, vol. 11, pp. 115740-115750, 2023 (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

J. Gwak, H. Garg, and N. Jan, “Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets,” Alexandria Engineering Journal, vol. 67, pp. 473–487, 2023. (JCR 2023 IF=6.8, Q1 in Engineering, Multidisciplinary, Top 8.3%)

I. Kim, Y. Jeon, J. W. Kang, and J. Gwak*, “RAG-PADIM: Residual attention guided PADIM for defects segmentation in railway tracks,” Journal of Electrical Engineering & Technology, vol. 18, no. 2, pp. 1429–1438, 2023. (JCR 2023 IF=1.9, Q3 in Engineering, Electrical & Electronic)

Z. Ali, T. Mahmood, J. Gwak*, and N. Jan, “A novel extended Portuguese of interactive and multi‐criteria decision making and Archimedean Bonferroni mean operators based on prospect theory to select green supplier with Complex Q‐Rung Orthopair Fuzzy Information,” CAAI Transactions on Intelligence Technology, vol. 8, no. 1, pp. 177–191, 2023. (JCR 2023 IF=5.1, Q2 in Computer Science, Artificial intelligence)

Z. Rauf, A. Sohail, S. H. Khan, A. Khan*, J. Gwak*, and M. Maqbool, “Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images,” Microscopy, vol. 72, no. 1, pp. 27–42, 2023. (JCR 2023 IF=1.8, Q4 in microscopy)

T. Mahmood, J. Ahmmad, J. Gwak*, and N. Jan, “Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators,” Scientific Reports, vol. 13, article no. 1707, 2023. (JCR 2023 IF=4.6, Q2 in Multidisciplinary Sciences)

J. Gwak, H. Garg, N. Jan, and B. Akram, “A new approach to investigate the effects of artificial neural networks based on bipolar complex spherical fuzzy information,” Complex & Intelligent Systems, pp. 1-24, 2023. (JCR 2023 IF=5.8, Q2 in Computer Science, Artificial Intelligence)

M. U. Farooq, Z. Ullah, and J. Gwak*, “Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography,” Computerized Medical Imaging and Graphics, vol. 104, p. 102173, 2023. (JCR 2023 IF=5.7, Q1 in Radiology, Nuclear medicine & Medical Imaging, Top 12.2%)

Z. Ullah, M. Usman, S. Latif, and J. Gwak*, “Densely attention mechanism based network for COVID19 detection in chest X-rays,” Scientific Reports, vol. 13, article no. 261, 2023. (JCR 2023 IF=4.6, Q2 in Multidisciplinary Sciences)

Z. Ullah, M. Usman, and J. Gwak*, “MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for covid-19 detection based on chest X-ray images,” Expert Systems with Applications, vol. 216, p. 119475, 2023. (JCR 2023 IF=8.5, Q1 in Engineering, Electrical & Electronic, Top 8.2%)

N. Jan, J. Gwak*, H. Garg, Y. Jeon, and H. Kang, “Energy Utilization area under complex Q-Rung Orthopair fuzzy soft information,” AIMS Mathematics, vol. 8, no. 5, pp. 11521–11545, 2023. (JCR 2023 IF=2.2, Q1 in Mathematics, Top 5.31%)

A. Chae, G. Murali, S. Y. Lee, J. Gwak, S. J. Kim, Y. J. Jeong, H. Kang, S. Park, A. S. Lee*, D. Y. Koh*, I. In*, and S. J. Park*, “Highly oxidation‐resistant and self‐healable MXene‐based Hydrogels for wearable strain sensor,” Advanced Functional Materials, p. 2213382, 2023. (JCR 2023 IF=19.0, Q1 in Chemistry, Multidisciplinary, Top 4.2%)

I. M. Hezam, A. M. Al-Syadi, A. Foul, A. Alshamrani, and J. Gwak, “Evaluation of nanostructured electrode materials for high-performance supercapacitors using multiple-criteria decision-making approach,” Electronic Research Archive, vol. 31, no. 4, pp. 2286–2314, 2023. (JCR 2023 IF=0.8, Q3 in Mathematics)

N. Jan, J. Gwak*, J. Choi, S. Woo Lee, and C. Su Kim, “Transportation strategy decision-making process using interval-valued complex fuzzy soft information,” AIMS Mathematics, vol. 8, no. 2, pp. 3606–3633, 2023. (JCR 2023 IF=2.2, Q1 in Mathematics, Top 5.31%)

H. Garg, Z. Ali, J. Gwak, I. M. Hezam, “Generalized Heronian Mean Operators Based on Archimedean T-Norms of the Complex Picture Fuzzy Information and Their Application to Decision-Making,” Mathematical Problems in Engineering, vol. 2023, article no. 5316707, 2023. (JCR 2023 IF=1.430, Q3 in Mathematics, Interdisciplinary Applications)

J. Park, S. Jang, J. Gwak, B. C. Kim, J. J. Lee, K. Y. Choi, K. H. Lee, S. C. Jun, G.-J. Jang, and S. Ahn, “Individualized diagnosis of preclinical Alzheimer’s disease using Deep Neural Networks,” Expert Systems with Applications, vol. 210, p. 118511, 2022. (JCR 2023 IF=8.5, Q1 in Engineering, Electrical & Electronic, Top 8.2%)

B. Kim, Y. Jeon, J.-W. Kang, and J. Gwak*, “Multi-task transfer learning facilitated by segmentation and denoising for anomaly detection of rail fasteners,” Journal of Electrical Engineering & Technology, pp. 1-12, 2022. (JCR 2023 IF=1.9, Q3 in Engineering, Electrical & Electronic)

H. Ahn, Y. Hong, H. Choi, J. Gwak*, and M. Jeon*, “Tiny asymmetric feature normalized network for person re-identification system,” IEEE Access, vol. 10, pp. 131318–131330, 2022. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

N. Jan, J. Gwak*, J. Pei, R. Maqsood, and A. Nasir, “Analysis of networks and digital systems by using the novel technique based on complex Fuzzy Soft Information,” IEEE Transactions on Consumer Electronics, pp. 1–1, 2022. (JCR 2023 IF=4.3, Q2 in Engineering, Electrical & Electronic)

N. Jan, J. Gwak*, Y. Jeon, and B. Akram, “Investigation of blockchain technology by using the innovative concepts of complex Pythagorean fuzzy soft information,” Complexity, vol. 2022, pp. 1–18, 2022. (JCR 2023 IF=2.3, Q2 in Mathematics, Interdisciplinary Applications)

M. A. Arshad, S. H. Khan, S. Qamar, M. W. Khan, I. Murtza, J. Gwak*, and A. Khan*, “Drone navigation using region and edge exploitation-based deep CNN,” IEEE Access, vol. 10, pp. 95441–95450, 2022. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

A. A. Shaikh, S. Das, G. C. Panda, I. M. Hezam*, A. F. Alrasheedi, and J. Gwak, “Impact of covid 19 on the demand for an inventory model under Preservation Technology and advance payment facility,” Open Physics, vol. 20, no. 1, pp. 836–849, 2022. (JCR 2023 IF=1.9, Q3 in Physics, Multidisciplinary)

N. Jan, R. Maqsood, A. Nasir, M. Arif, and J. Gwak*, “A predictive analysis of key factors defining the successful international trades in the environment of complex cubic fuzzy information,” International Journal of Fuzzy Systems, vol. 24, no. 6, pp. 2673–2686, 2022. (JCR 2023 IF=4.3, Q2 in Automation & Control Systems)

S. Qamar, S. H. Khan, M. A. Arshad, M. Qamar, J. Gwak*, and A. Khan*, “Autonomous drone swarm navigation and multitarget tracking with island policy-based optimization framework,” IEEE Access, vol. 10, pp. 91073–91091, 2022. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

Z. Ullah, M. Usman, M. Jeon, and J. Gwak*, “Cascade multiscale residual attention CNNs with adaptive ROI for Automatic Brain Tumor Segmentation,” Information Sciences, vol. 608, pp. 1541–1556, 2022. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)

J. Gwak*, N. Jan, R. Maqsood, and A. Nasir, “Analysis of risks and security of e-commerce by using the novel concepts of complex cubic picture fuzzy information,” Journal of Function Spaces, vol. 2022, pp. 1–27, 2022. (JCR 2023 IF=1.9, Q1 in Mathematics, Top 11.4%)

T. K. Ho and J. Gwak*, “Feature-level ensemble approach for COVID-19 detection using chest X-ray images,” PLOS ONE, vol. 17, no. 7, p. e0268430, 2022. (JCR 2023 IF=3.7, Q2 in Multidisciplinary Sciences)

J. Kang and J. Gwak*, “Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification,” Multimedia Tools and Applications, vol. 81, no. 16, pp. 22355–22377, 2021. (JCR 2023 IF=3.6, Q2 in Computer Science, Software Engineering)

H. Jeong, H. Kim, J. Yoon, K. Go, and J. Gwak*, "OVASO : Integrated binary cnn models to classify covid‐19, pneumonia and Healthy Lung in x‐ray images,” International Journal of Imaging Systems and Technology, vol. 32, no. 4, pp. 1035–1048, 2022. (JCR 2023 IF=3.3, Q2, Engineering, Electrical & Electronic)

F. Din, S. Khalid, M. Fayaz*, J. Gwak, K. Z. Zamli, and W. K. Mashwani*, “Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems,” Mathematical Problems in Engineering, vol. 2022, pp. 1–17, 2022. (JCR 2023 IF=1.430, Q3 in Mathematics, Interdisciplinary Applications)

J. Yu, J.-G. Kim, J. Gwak, B.-G. Lee, and M. Jeon, “Abnormal event detection using adversarial predictive coding for motion and appearance,” Information Sciences, vol. 586, pp. 59–73, 2022. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)

H. Garg*, Z. Ali, I. M. Hezam, and J. Gwak, “Decision-making approach based on generalized aggregation operators with complex single-valued neutrosophic hesitant fuzzy set information,” Mathematical Problems in Engineering, vol. 2022, pp. 1–20, 2022. (JCR 2023 IF=1.430, Q3 in Mathematics, Interdisciplinary Applications)

A. Duary, M. A.-A. Khan, S. Pani, A. A. Shaikh*, I. M. Hezam, A. F. Alrasheedi, and J. Gwak, “Inventory model with nonlinear price-dependent demand for non-instantaneous decaying items via advance payment and Installment Facility,” AIMS Mathematics, vol. 7, no. 11, pp. 19794–19821, 2022. (JCR 2023 IF=2.2, Q1 in Mathematics, Top 5.31%)

J. Kang, C.-S. Kim, J. Won Kang, and J. Gwak*, “Recurrent autoencoder ensembles for brake operating unit anomaly detection on Metro Vehicles,” Computers, Materials & Continua, vol. 73, no. 1, pp. 1–14, 2022. (JCR 2023 IF=3.1, Q3 in Materials Science, Multidisciplinary)

T. K. Ho, M. Kim, Y. Jeon, B. C. Kim, J. G. Kim, K. H. Lee, J.-I. Song, and J. Gwak*, “Deep learning-based multilevel classification of alzheimer’s disease using non-invasive functional near-infrared spectroscopy,” Frontiers in Aging Neuroscience, vol. 14, 2022. (JCR 2023 IF=4.8, Q2 in Neurosciences)

H. Garg, Z. Ali, I.M. Hezam, J. Gwak, “Decision-Making Approach Based on Generalized Aggregation Operators with Complex Single-Valued Neutrosophic Hesitant Fuzzy Set Information,” Mathematical Problems in Engineering, vol. 2022, https://doi.org/10.1155/2022/9164735, Jan. 2022. (JCR 2023 IF=1.430, Q3 in Mathematics, Interdisciplinary Applications)

M. Fayaz, J. Haider, M. B. Qureshi, M. S. Qureshi, S. Habib and J. Gwak*, “An Effective Classification Methodology for Brain MRI Classification Based on Statistical Features, DWT and Blended ANN,” IEEE Access, vol. 9, pp. 159146-159159, 2021, doi: 10.1109/ACCESS.2021.3132159. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

A. Nasir, N. Jan, J. Gwak* and S. U. Khan, “Investigation of Financial Track Records by Using Some Novel Concepts of Complex q-Rung Orthopair Fuzzy Information,” IEEE Access, vol. 9, pp. 152857-152877. doi: 10.1109/ACCESS.2021.3125383 (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

M. Fayaz, N. Torokeldiev, S. Turdumamatov, M.S. Qureshi, M.B. Qureshi, J. Gwak*, “An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network,” Sensors, vol. 21, no. 22. https://doi.org/10.3390/s21227480 (JCR 2023 IF=3.9, Q2 in Chemistry, Analytical)

A., M. B. Qureshi, M. Afzaal, M. S. Qureshi, J. Gwak*, “Fuzzy-Based Automatic Epileptic Seizure Detection Framework,” CMC-Computers, Materials & Continua, vol. 70, no. 3, pp. 5601-5630, 11 October 2021. (JCR 2023 IF=3.1, Q3 in Materials Science, Multidisciplinary)

J. Kang, C.-S. Kim, J. W. Kang, and J. Gwak*, “Anomaly Detection of the Brake Operating Unit on Metro Vehicles Using a One-Class LSTM Autoencoder,” Applied Sciences, vol. 11, no. 19, p. 9290, Oct. 2021, doi: 10.3390/app11199290. (JCR 2023 IF=2.7, Q2 in Engineering, Multidisciplinary)

M. Imran, U. Zaman, Imran, J. Imtiaz, M. Fayaz, and J. Gwak*, “Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions,” Electronics, vol. 10, no. 20, p. 2501, Oct. 2021, doi: 10.3390/electronics10202501. (JCR 2023 IF=2.9, Q2 in Engineering, Electrical & Electronic)

J. Khan, M. Fayaz, A. Hussain, S. Khalid, W.K. Mashwani, J. Gwak*, “An Improved Alpha Beta Filter using A Deep Extreme Learning Machine,” IEEE Access, vol. 9, pp. 61548-61564, 2021. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

Imram, Z. Ghaffar, A. Alshahrani, M. Fayaz, A.M. Alghamdi, J. Gwak*, “A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges,” Electronics, vol. 10, no. 8, 2021. (JCR 2023 IF=2.9, Q2 in Engineering, Electrical & Electronic)

J. Kang, Z. Ullah, J. Gwak*, “MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers,” Sensors, vol. 21, no. 6, 2021. (JCR 2023 IF=3.9, Q2 in Chemistry, Analytical)

S. Dubey, A. Boragule, J. Gwak*, M. Jeon, “Anomalous Event Recognition in Videos Based on Joint Learning of Motion and Appearance with Multiple Ranking Measures,” Applied Sciences, vol. 11, no. 3, pp. 1344:1-13. (JCR 2023 IF=2.7, Q2 in Engineering, Multidisciplinary)

J. Ahn, T.K.K. Ho, J. Kang, J. Gwak*, “Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-art Reviews,” Journal of Medical Imaging and Health Informatics, vol. 10, no. 11, pp. 2532-2542, 2020. (JCR 2023 IF=0.659, Q2 in Radiology, Nuclear Medicine & Medical imaging)

J. Kang, J. Gwak*, “Ensemble Learning of Lightweight Deep Learning Models Using Knowledge Distillation for Image Classification,” Mathematics, vol. 8, no. 10, pp. 1652:1-18, 2020. (JCR 2023 IF=2.4, Q1 in Mathematics, Top 6.8%)

T.K.K. Ho, J. Gwak*, “Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-ray Abnormalities,” IEEE Access, vol. 8, pp. 160749-160761, 2020. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

H. Garg*, J. Gwak*, T. Mahmood, Z. Ali, “Power Aggregation Operators and VIKOR Methods for Complex q-Rung Orthopair Fuzzy Sets and Their Applications,” Mathematics, vol. 8, no. 4, pp. 538:1-34, 2020. (JCR 2023 IF=2.4, Q1 in Mathematics, Top 6.8%)

K.J. Yoon, J. Gwak, Y. Song, Y.C. Yoon and M. Jeon, “OneShotDA: An Online Multi-object Tracker with One-shot-learning-based Data Association,” IEEE Access, vol. 8, pp. 38060-38072, 2020. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

T.K.K. Ho, J. Gwak*, “Multiple feature integration for classification of thoracic disease in chest radiography,” Applied Sciences, 2019, vol. 9, no. 19, pp. 4130:1-15, 2020. (JCR 2023 IF=2.7, Q2 in Engineering, Multidisciplinary)

J. Gwak, J. Jung, R. Oh, M. Park, M. A. K. Rakhimov and J. Ahn, “A Review of Intelligent Self-Driving Vehicle Software Research,” KSII Transactions on Internet and Information Systems, vol. 13, No. 11, pp. 5299-5320, 2019. (JCR 2023 IF=1.5, Q4 in Computer Science, Information Systems)

T.K.K. Ho, J. Gwak*, “Toward Deep Learning Approaches for Learning Structure Motifs and Classifying Biological Sequences from RNA A-To-I Editing Events,” IEEE Access, vol. 7, 127464-127474, 2019. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

T. Nguyen, M. Kim, J. Gwak, J-J. Lee, K-Y. Choi, K-H. Lee, and J. G. Kim “Investigation of brain functional connectivity in mild cognitive impairment patients: a fNIRS study,” Journal of Biophotonics, vol. 12, article no. e201800298, 2019. (JCR 2023 IF=2.8, Q3 in Biophysics)

K.-Y. Sim, S-H. Park, K.-Y. Choi, J-E. Park, J-S. Lee, B. C. Kim, J. Gwak, W.-K. Song, K.-H. Lee*, S-G. Park*, “High-throughput epitope profiling of antibodies in the plasma of Alzheimer's disease patients using random peptide microarrays,” Scientific Reports, vol. 9, article no. 4587, 2019. (JCR 2023 IF=4.6, Q2 in Multidisciplinary Sciences)

J. Kang, J. Gwak*, “Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images,” IEEE Access, 2019, vol. 7, pp. 26440-26447. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

T.K.K. Ho, J. Gwak*, C. M. Park, J-I. Song, “Discrimination of Mental Workload Level from Multi-Channel fNIRS using Deep Leaning-based Approaches,” IEEE Access, 2019, vol. 7, pp. 24392-24403. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

O. Prakash, C. M. Park, A. Khare, M. Jeon, J. Gwak*, “Multiscale Fusion of Multimodal Medical Images using Lifting Scheme based Biorthogonal Wavelet Transform,” Optik, vol. 182, pp. 995-1014, 2019. (JCR 2023 IF=3.1, Q2 in Optics)

H. Kim, C. M. Park*, J. Gwak, E. J. Hwang, S. Y. Lee, J. Jung, H. Hong, J. M. Goo, “Effect of CT Reconstruction Algorithm on the Diagnostic Performance of Radiomics Models: A Task-Based Approach for Pulmonary Subsolid Nodules,” American Journal of Roentgenology, vol. 212, no. 3, pp. 505-512, 2019. (JCR 2023 IF=5.0, Q1 in Radiology, Nuclear Medicine & Medical Imaging)

O. Prakash, J. Gwak, M. Khare, A. Khare and M. Jeon, “Human detection in complex real scenes based on combination of biorthogonal wavelet transform and Zernike moments,” Optik - International Journal for Light and Electron Optics, vol. 157, pp. 1267-1281, 2018. (JCR 2023 IF=3.1, Q2 in Optics)

J. Gwak*, “Multi-object tracking through learning relational appearance features and motion patterns,” Computer Vision and Image Understanding, vol. 162, pp. 103-115, 2017. (JCR 2023 IF=4.5, Q2 in Engineering, Electrical & Electronic)

R. K. Lama, J. Gwak, J-S. Park, S-W. Lee*, “Diagnosis of Alzheimer's disease based on structural MRI images using a regularized extreme learning machine and PCA features,” Journal of Healthcare Engineering, vol. 2017, article ID 5485080, 11 pages, 2017. (JCR 2023 IF=3.822, Q2 in Health Care Sciences & services)

J. Gwak, G. Park, and M. Jeon*, “Viewpoint invariant person re-identification for global multi-object tracking with non-overlapping cameras,” KSII Transactions on Internet and Information Systems, vol. 11, no. 4, pp. 2075-2092, 2017. (JCR 2023 IF=1.5, Q4 in Computer Science, Information Systems)

E. Yang, J. Gwak, M. Jeon*, “CRF-Boosting: Constructing a robust online hybrid boosting multiple object trackers facilitated by CRF learning,” Sensors, vol. 17, no. 3, pp. 617:1-617:18, 2017. (JCR 2023 IF=3.9, Q2 in Chemistry, Analytical)

E. Yang, J. Gwak and M. Jeon*, “Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications,” Multimedia Tools and Applications, vol. 76, no. 5, pp. 6731-6754, 2017. (JCR 2023 IF=3.6, Q2 in Computer Science, Software Engineering)

J. Gwak, M. Jeon* and W. Pedrycz, “Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies,” Soft Computing, vol. 20, no. 6, pp. 2149-2176, 2016. (JCR 2023 IF=4.1, Q2 in Computer Science, Interdisciplinary Applications)

J. Gwak, and K. M. Sim and M. Jeon*, “Novel dynamic diversity controlling EAs for coevolving optimal negotiation strategies,” Information Sciences, vol. 273, pp. 1-32, 2014. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)

J. Gwak and K. M. Sim*, “A novel method for coevolving PS-optimizing negotiation strategies using improved diversity controlling EDA,” Applied Intelligence, vol. 38, no. 3, pp. 384-417, 2013. (JCR 2023 IF=5.3, Q2 in Computer Science, Artificial Intelligence)

J. Gwak* and K. M. Sim, “An augmented EDA with dynamic diversity control and local neighborhood search for coevolution of optimal negotiation strategies,” Applied Intelligence, vol. 38, no. 4, pp. 600-619, 2013. (JCR 2023 IF=5.3, Q2 in Computer Science, Artificial Intelligence)

J. Park, C. Park, N. Kim, J. W. Kang and J. Gwak*, "Enhanced Object Detection for Railway Component Safety Using the YOLO-World Model," International Conference on Electrical Facilities and information technologies(ICEF 2024), Korea National University of Transportation, Korea, August 22, 2024.(Best paper Award)

N. Kim, C. Park, J. Park, J. W. Kang and J. Gwak*, "Enhancing Partial Discharge Classification through Multimodal Feature Ensemble Mechanism," International Conference on Electrical Facilities and information technologies(ICEF 2024), Korea National University of Transportation, Korea, August 22, 2024.(Best paper Award)

C. Park, N. Kim, J. Park, J. W. Kang and J. Gwak*, "Time-Mixing and Self-Attention Techniques for Enhanced Partial Discharge Data Analysis," International Conference on Electrical Facilities and information technologies(ICEF 2024), Korea National University of Transportation, Korea, August 22, 2024.(Best paper Award)

X. Hu, S. Masood and J. Gwak*, "Enhanced Analysis of Phase Resolved Partial Discharge Data Using DeepViT with Kolmogorov–Arnold Networks," International Conference on Electrical Facilities and information technologies(ICEF 2024), Korea National University of Transportation, Korea, August 22, 2024.

S. Masood and J. Gwak*, "Distillation-Based Approach for Efficient Machine Unlearning in Anomaly Detection," International Conference on Electrical Facilities and information technologies(ICEF 2024), Korea National University of Transportation, Korea, August 22, 2024.

S. Ahmad and J. Gwak*, "Optimized Hybrid TransUNet for Enhanced Brain Tumor Segmentation," International Conference on Electrical Facilities and information technologies(ICEF 2024), Korea National University of Transportation, Korea, August 22, 2024.

J. Gwak*, "Condition-Based Diffusion Model for Detection Anomalies in Railway Components," International Conference on Electrical Facilities and information technologies(ICEF 2024), Korea National University of Transportation, Korea, August 22, 2024.

T. K. K. Ho, H. Lim, J. Kang, J.-I. Song, J. Gwak*, "A CNN-LSTM Model for Alzheimer’s Disease Multi-Class Classification using Multichannel EEG,” The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), pp. 23-25, 2021 (Outstanding Paper Award)

Z. Ullah, T. K. K. Ho, H. Lim, J. Kang, J. Gwak*, “COVID-19 Detection with a Semi-Supervised Adversarial Autoencoder in Chest Radiographs,” The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), pp. 109-111, 2021

T. K. K. Ho, Z. Ullah, I. Kim, H. Lim, J. Kang, J. Gwak*, “Feature Integration for COVID-19 Classification using Chest Radiography,” The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), pp. 106-108, 2021

J. Kang, J. Gwak*, “KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation,” in Proceedings of MediaEval, 2020

M. Kim, T. Nguyen, J. Gwak, J-J. Lee, K-Y. Choi, K-H. Lee, and J. G. Kim, “Investigation of Cerebral Hemodynamic Changes in Mild Cognitive Impairment Due to Alzheimer's Disease During a Verbal Fluency Task” in 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7), June 27-29, 2019, Ho Chi Minh City, Vietnam

Manish Khare, J. Gwak, M. Jeon, “Complex Wavelet Transform-based Approach for Human Action Recognition in Video,” in Proceedings of the International Conference on Control Automation & Information Science (IEEE ICCAIS 2017), October 31-November 1, 2017, Chiang Mai, Thailand

Y. Yoon, J. Gwak, J-I. Song and M. Jeon, “Conditional Marked Point Process-based Crowd Counting in Sparsely and Moderately Crowded Scenes,” in Proceedings of the International Conference on Control Automation & Information Science (IEEE ICCAIS 2016), October 27-29, 2016, Ansan, Korea.

H. Shin, J. Gwak, J. Yu, M. Jeon, “Feature Flow-Based Abnormal Event Detection using a Scene Adaptive Cuboid Determination Method,” in Proceedings of the International Conference on Control Automation & Information Science (IEEE ICCAIS 2016), October 27-29, 2016, Ansan, Korea.

J. Yu, J. Gwak, M. Jeon, “Gaussian-Poisson Mixture Model for Anomaly Detection of Crowd Behaviour,” in Proceedings of the International Conference on Control Automation & Information Science (IEEE ICCAIS 2016), October 27-29, 2016, Ansan, Korea.

H. Shin, J. Yu, J. Gwak, M. Jeon, “Abnormal Event Detection based on Trajectory Modeling using Histogram of Oriented Tracklets,” in Proceedings of the International Conference on Consumer Electronics (ICCE)-Asia 2016, October 26-28, 2016, Seoul, Korea.

J. Yu, J. Gwak, M. Jeon, “Gesture Recognition Framework invariant to User Posture for an Interactive TV,” in Proceedings of the International Conference on Consumer Electronics (ICCE)-Asia 2016, October 26-28, 2016, Seoul, Korea.

J. Yu, J. Gwak, S. Noh and M. Jeon, “Abnormal Event Detection using Scene Partitioning Based on Regional Activity Pattern Analysis,” in Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP. 2016), Feb. 27-29, Rome, Italy.

A. Rafique, S. Azam, J. Gwak and M. Jeon, “Character Segmentation of Korean Vehicle License Plate,” in Proceedings of the 4th International Conference on Smart Media and Applications, Jan. 10-13, 2016, Danang, Vietnam. (Oral Presentation by J. Gwak)

J. Yu, J. Gwak, S. Lee, M. Jeon, “An Incremental Learning Approach for Restricted Boltzmann Machines,” in Proceedings of the 4th IEEE International Conference on Control, Automation and Information Sciences (ICCAIS 2015), Oct. 29-31, 2015, Changshu, China.

G. Noh, J. Gwak, M. Jeon, “A Systematic Framework for Real-time Online Multi-object Tracking,” in Proceedings of the 4th IEEE International Conference on Control, Automation and Information Sciences (ICCAIS 2015), Oct. 29-31, 2015, Changshu, China. (Poster Presentation by J. Gwak)

J.S. Tham, Y.C. Chang, M.F.A Fauzi, J. Gwak, “Object Recognition using Depth Information of a Consumer Depth Camera,” in Proceedings of the 4th IEEE International Conference on Control, Automation and Information Sciences (ICCAIS 2015), Oct. 29-31, 2015, Changshu, China. (Oral Presentation by J. Gwak)

J. Yu, J. Gwak, and M. Jeon, “Global abnormal event detection using spatio-temporal social force model,” in Proceedings of the 2014 IEIE conference series, 2015.

J. Oh, J. Gwak, R. Aasim and M. Jeon, “A new image denoising scheme using spiking neuromorphic systems,” in Proceedings of the 6th IASTED International Conference on Computational Intelligence, Innsbruck, Austria, Feb. 16-17, 2015. (Oral Presentation by J. Gwak)

J. Gwak and M. Jeon, “An improved kernel-induced possibilistic fuzzy c-means clustering algorithm based on dispersion control,” in Proceedings of the 3rd IEEE International Conference on Control, Automation and Information Sciences (IEEE ICCAIS 2014), Dec. 2-5, 2014, Gwangju, Korea. (Oral Presentation by J. Gwak)

H. Choi, J. Gwak, H. Song and H-G. Sohn, “An Efficient Object Detection Algorithm for Large-size Images Based on a Hierarchical Semantic Grouping Approach,” in Proceedings of the 3rd IEEE International Conference on Control, Automation and Information Sciences (IEEE ICCAIS 2014), Dec. 2-5, 2014, Gwangju, Korea.

J. Gwak and M. Jeon, “A robust real-coded genetic algorithm using an ensemble of crossover operators,” GECCO (companion), 2013, pp. 1737-1738. (Oral Presentation by J. Gwak)

J. Gwak and K. M. Sim, “Bayesian learning based negotiation agents for supporting negotiation with incomplete information,” Lecture Notes in Engineering and Computer Science: Proceedings of the International MultiConference of Engineers and Computer Scientists 2011, pp. 13-18, 2011. (Oral Presentation by J. Gwak)

J. Gwak and K.M. Sim, “Novel dynamic diversity controlling EDA and its application to automated bilateral negotiation,” in Proceedings of the 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications (IEEE BIC-TA), 2010, pp. 536-544. (Oral Presentation by J. Gwak)

J. Gwak, K. M. Sim, and M. Zhang, “Finding near-optimal strategies for negotiation with incomplete information using a diversity controlling EDA,” in Proceedings of the 8th IEEE International Conference on Supply Chain Management and Information Systems, 2010, pp. 571-577. (Oral Presentation by J. Gwak)

J. Gwak and K. M. Sim, “Coevolving near-optimal strategies for negotiation with incomplete information using a diversity controlling GA,” in Proceedings of the 2010 IEEE International Conference on Automation and Logistics, 2010, pp. 624-631. (Oral Presentation by J. Gwak)

J. Gwak and K. M. Sim, “Co-evolving best response strategies for P-S-optimizing negotiation using evolutionary algorithms,” Lecture Notes in Engineering and Computer Science: Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, pp. 13-18, 2010. (Oral Presentation by J. Gwak)

Inki Kim, Beomjun Kim, Jeonghwan Gwak*, "Utilizing Mean Teacher Semi-Supervised Learning for Robust Pothole Image Classification," in Proceeding of Journal of The Korea Society of Computer and Information, Vol. 28, No. 5 pp. 17-28, 2023."

Younghoon Jeon, HyunSeok Lim, Jeonghwan Gwak*, "Application and performance analysis of 3D CNN and super-resolution in autoencoder-based anomaly detection system," in Proceeding of The Journal of KINGComputing, Vol. 18, No. 2 pp. 47-58, 2022.

Inki Kim, Beonjun Kim, Woo, Sung-hee, Jeonghwan Gwak*, "Contactless  User Identification System using Multi-channel Palm Images Facilitated by Triple Attention U-Net and CNN Classifier Ensemble Models," in Proceeding of Journal of the Korea Society of Computer and Information, Vol. 27 No. 3 pp. 33-43, 2022.

Jaeyong Kang, Jeonghwan Gwak*, "Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features," in Proceeding of Journal of The Korea Society of Computer and Information, Vol. 26 No. 7 pp. 37-44, 2021.

Jaeyong Kang, Jeonghwan Gwak*, "Embedding similarity-based anomaly detection in crowd scenes via object-centric augmentation," in Proceeding of The Journal of KINGComputing, Vol. 17 No. 3 pp. 7-17, 2021.

Jaeyong Kang, Jeonghwan Gwak*, "Adaptive Face Mask Detection System based on Scene Complexity Analysis," in Proceeding of Journal of The Korea Society of Computer and Information, Vol. 26 No.5 pp. 1-8, 2021.

HyunSeok Lim, Jeonghwan Gwak*, "Generative optical flow based abnormal object detection method using a spatio-temporal translation network," in Proceeding of Journal of The Korea Society of Computer and Information, Vol. 26 No. 4 pp. 11-19, 2021.

Dongwook Min, HyunSeok Lim, Jeonghwan Gwak*, " Improved Method of License Plate Detection and Recognition Facilitated by Fast Super-Resolution GAN," in Proceeding of Smart Media Journal, Vol. 9 No. 4 pp.134-143, 2020.

HyunSeok Lim, Hyunsu Jeong, Jeonghwan Gwak*, "A Study of Pneumonia diagnosis using Image Super-resolution based on Residual Dense Networks,"  in Proceeding of The Journal of KINGComputing, Vol. 16 No. 5 pp.15-28, 2020.

Jeonghwan Gwak, JuHo Jeong, Manbok Park, M.Rakhimov, Junho Ahn, "A Review of Intelligent Self-Driving Vehicle Software Research," in Proceeding of KSII Transactions on Internet and Information Systems Vol. 13 No. 11 pp. 5299-5320, 2019.

Jeonghwan Gwak, Geunpyo Park, Moongu Jeon*, "Viewpoint Invariant Person Re-Identification for Global Multi-Object Tracking with Non-Overlapping Cameras," in Proceeding of KSII Transactions on Internet and Information Systems, Vol. 11 No. 4 pp. 2075-2092, 2017.

Namjung Kim, Junhwi Park, Jaehyun Lee, Changjoon Park, Inki Kim, Jeongwon Kang, Jeonghwan Gwak*, "Comparing the Classification Performance of Deep Learning Models using Different PRPD Image Generation Method," in Proceeding of The Korean Institute of Electrical Engineers, April 12. 2024

Junhwi Park, Jaehyun Lee, Namjung Kim, Changjoon Park, Inki Kim, Jeongwon Kang, Jeonghwan Gwak*, "Performance Analysis of LSTM, GRU, and RNN-based Models according to Timestep in PRPD Data of Single-phase Oil Immersed Transformer," in Proceeding of The Korean Institute of Electrical Engineers, April 12. 2024

Changjoon Park, Inki Kim, Junhwi Park, Jaehyun Lee, Jeongwon Kang, Jeonghwan Gwak*, "Analysis of Classification Performance of Deep Learning Models Based on PRPS Data in Power Equipment" in Proceeding of The Korean Institute of Electrical Engineers, April 12. 2024

Sharjeel Masood, Changjoon Park, Saeed Ahmad, Namjung Kim, Xufeng Hu, Jeonghwan Gwak*, "Efficient Dynamic Pruning Technique for Reduction of Inference Time in Convolutional Neural Network," in Proceeding of the Korean Institute of Next Generation Computing, April 26. 2024

Saeed Ahmad, Namjung Kim, Sharjeel Masood, Changjoon Park, Xufeng Hu Jeonghwan Gwak*, "Implementing Cost-Efficient CNNs through INT8 Quantization Aware Training on Embedded Systems," in Proceeding of the Korean Institute of Next Generation Computing, April 26. 2024

Jaehyun Lee, Changjoon Park, Inki Kim, Junhwi Park, Namjung Kim, Jeonghwan Gwak*, "Performance Comparison of Vision Transformer-Based Models for PRPD Classification," in Proceeding of the Korean Institute of Next Generation Computing, April 26. 2024

Junhwi Park, Jaehyun Lee, Inki Kim, Namjung Kim, Changjoon Park, Jeonghwan Gwak*, "Analysis of Object Detection Performance of YOLO V9 and RT-DETR Using Railway Components Dataset," in Proceeding of the Korean Institute of Next Generation Computing, April 26. 2024

Jaehyun Lee, Changjoon Park, Namjung Kim, Junhwi Park, Jeonghwan Gwak*, "The Comparison of Segmentation Performance between SegFormer and U-Net on Railway Components," in Proceedings of the Korea Society of Internet Information Conference, January 19. 2024

Junhwi Park, Namjung Kim, Changjoon Park, Jaehyun Lee, Jeonghwan Gwak*, "Performance Analysis of Human Facial Age Classification Method Based on Vision Transformer," in Proceedings of the Korea Society of Internet Information Conference, January 19. 2024

Changjoon Park, Inki Kim, Beomjun Kim, Jeonghwan Gwak*, "Deep Learning-Based Power Facility Sensing Data for Energy Pattern Classification Performance Analysis and Ensemble Techniques," in Proceeding of The Korean Institute of Electrical Engineers, April 7. 2023

Inki Kim, Beomjun Kim, Jeonghwan Gwak*, "A Study on the Performance Improvement of Rotational Machinery Anomaly Detection through Deep Feature Ensemble of Self-Attention LSTM Autoencoder and LSTM Autoencoder Based on Unsupervised Learning," in Proceeding of The Korean Institute of Electrical Engineers, April 7. 2023

Namjung Kim, Inki Kim, Beomjun Kim, Jeonghwan Gwak*, "Performance Analysis of Time Series Models for Anomaly Detection in Power Facility Performance Status," in Proceeding of The Korean Institute of Electrical Engineers, April 7. 2023

Yonghoon Jeon, Jeonghwan Gwak*, "A Study on Deep Learning-based Normailzing Flow for Visual Anomay Detection System," in Proceeding of The Korean Institute of Electrical Engineers, April 7. 2023

Beomjun Kim, Inki Kim, Jeonghwan Gwak*, "Multi Learning-based Deep Learning Model for Anomaly Detection and Degree Measurement of Degradation on Solar Panel Cell Images," in Proceeding of The Korean Institute of Electrical Engineers, April 7. 2023

Inki Kim, Namjung Kim, Beomjun Kim, Jeonghwan Gwak*, "Partial Discharge Detection Research Using Vision Transformer Based on PRPD Data," in Proceedings of the Korea Institute of information and Communication Engineering, October 27. 2023

Beomjun Kim, Minjun Song, ChangJoon Park, Inki Kim, Jeonghwan Gwak*, "Intergrating PRPD Imaging with LSTM Networks for Enhenced Partial Discharge Prediction," in Proceedings of the Korea Institute of information and Communication Engineering, October 27. 2023

Changjoon Park, Beomjun Kim, Jaehyun Lee,  Inki Kim, Jeonghwan Gwak*, "A Comparative Study of Deep Learning Models in Diagnosing Partial Discharge via PRPD Patterns," in Proceedings of the Korea Institute of information and Communication Engineering, October 27. 2023

Namjung Kim, Minjun Song, Junhwi Park, Inki Kim, Jeonghwan Gwak*, "Convolutional Neural Networks in PRPD Pattern Recognition for Partial Discharge Diagnosis," in Proceedings of the Korea Institute of information and Communication Engineering, October 27. 2023

Gyutae Oh, Inki Kim, Beomjun Kim, Younghoon Jeon, Jeonghwan Gwak*, " Feature Ensemble-based Wolff Parkinson White Syndrom Classification through ECG," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2023

Minjun Song, Inki Kim, Beomjun Kim, Younghoon Jeon, Jeonghwan Gwak*, "One-Class Classificatioin based on Recorded Mouse Activity for Detecting Abnormal Game Users," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2023

Yeun Shin, Inki Kim, Beomjun Kim, Younghoon Jeon, Jeonghwan Gwak*, "Research on Pothole Detection using Feature-Level Ensemble of Pretrained Deep Learning Models," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2023

Changjoon Park, Inki Kim, Younghoon Jeon, Jeonghwan Gwak*, "Attention Modules for improving Cough Detecton Performance based on Mel-Spectogram," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2023

Junhwi Park, Changjoon Park, Namjung Kim, Jeonghwan Gwak*, "Performance Analysis of Object Detection Method for Railway Track Equipment Based on YOLO," in Proceedings of the Korea Society of Internet Information Conference, July 14. 2023

Hyunseok Lim, Xufeng Hu, Jeonghwan Gwak* "Abnormal Behavior Detection and Localization Using Aspect Ratio Based on Mask R-CNN," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2022

Changjoon Park, Chgnki Kim, Seongkyu Son, Kyoungjin Lee, Heekyung Yoo, Jeonghwan Gwak*, "Implementation of hand motion recognition-based rock-paper-scissors game using ResNet50 transfer learning," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2022

Xufeng Hu, Hyunseok Lim, Jeonghwan Gwak*, "Mask detection complex scenes using an ensemble of YOLO models," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2022

Beomjun Kim, Inki Kim, Jeonghwan Gwak*, "A palm information-based identitiy recognition deep learning model using a multi-channel image," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2022

Inki Kim, Beomjun Kim, Jeonghwan Gwak*, "Attention U-Net Based Palm Line Segmentation for Biometrics," in Proceedings of the Korea Society of Internet Information Conference, January 13. 2022

Inki Kim, Jeonghwan Gwak*, " Anomaly Sengmetation Performance Analysis Based on PaDiM-Based Homogeneous Ensemble Method," in Proceedings of Korea Information Processing Society, July 14. 2022

Gyutae Oh, Inki Kim, Beomjun Kim, Jeonghwan Gwak*, "Face Emotion Recognition using ResNet with Identity-CBAM," in Proceedings of Korea Information Processing Society, November 3. 2022

Changjoon Park, Beomjun Kim, Inki Kim, Jeonghwan Gwak*, "Style-Generative Adversarial Networks for Data Augmentation of Human Images at Homecare Environment," in Proceedings of Korea Information Processing Society, November 3. 2022

Junhwi Park, Beomjun Kim, Inki Kim, Jeonghwan Gwak,*, "YOLO models based Bounding-Box Ensemble Method for Patient Detection In Homecare Place Image," in Proceedings of Korea Information Processing Society, November 3. 2022

Inki Kim, Bumjin Park, Beomjun Kim, Jeonghwan Gwak*, “Pothole Detection Method based on an Ensemble of Pretrained Deep Learning Models,” in Proceedings of the Korea Society of Internet Information Spring Conference, April 30, 2022 (Excellent Paper Award)

Beomjun Kim, Minjun Song, Inki Kim, Jeonghwan Gwak*, “Performance Analysis of Pothole Detection and Segmentation using Road Images based on Mask R-CNN,” in Proceedings of the Korea Society of Internet Information Spring Conference, April 30, 2022

Inki Kim, Beomjun Kim, Jeonghwan Gwak*, “Attention U-Net Based Palm Line Segmentation for Biometrics,” Proceedings of the Korean Society of Computer Information Conference, pp. 89-92, January 15 2022

Beomjun Kim, Inki Kim, Jeonghwan Gwak*, “A Palm Information-based Identity Recognition Deep Learning Model using a Multi-channel Image,” Proceedings of the Korean Society of Computer Information Conference, pp. 93-96, January 15, 2022 (Excellent Paper Award)

Xufeng Hu, Hyunseok Lim, Jeonghwan Gwak*, “Mask detection technique in complex scenes using an ensemble of YOLO models,” Proceedings of the Korean Society of Computer Information Conference, pp. 97-98, January 15, 2022

Hyunseok Lim, Xufeng Hu, Jeonghwan Gwak*, “Anomaly Behavior Detection Method Using Mask R-CNN Based Aspect Ratio,” Proceedings of the Korean Society of Computer Information Conference, pp. 99-102, January 15, 2022

Changjoon Park, Changki Kim, Seongkyu Son, KyoungJin Lee, Heekyung Yoo, Jeonghwan Gwak*, “Implementation of hand motion recognition-based rock-paper-scissors game using ResNet50 transfer learning,” Proceedings of the Korean Society of Computer Information Conference, pp. 77-80, January 15, 2022

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak*, “A Crack Detection of Wooden Cultural Assets using EfficientNet Model,” Proceedings of the Korean Society of Computer Information Conference, pp. 125-128, July 15, 2021

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak*, “An Ensemble Deep Learning Model for Measuring Displacement in Cultural Asset Images,” Proceedings of the Korean Society of Computer Information Conference, pp. 141-144, July 15, 2021

Hyunseok Lim, Inki Kim, Jaeyong Kang, Jeonghwan Gwak*, “Anomaly Detection Performance Improvement Technique through Weight Matrix-based Optical Flow Equalization,” Proceedings of the Korean Society of Computer Information Conference, pp. 145-146, July 15, 2021

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak*, “An Embedding Similarity-based Deep Learning Model for Detecting Displacement in Cultural Asset Images,” Proceedings of the Korean Society of Computer Information Conference, pp. 133-136, July 15, 2021

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak*, “A Displacement Detection Model in Cultural Asset Images using Object-centric Augmentation,” Proceedings of the Korean Society of Computer Information Conference, pp. 137-140, July 15, 2021

Inki Kim, Hyunseok Lim, Beomjun Kim, Jeonghwan Gwak*, “Architectural Cultural Heritage Crack Detection Techniques Using Object Detection,” Proceedings of the Korean Society of Computer Information Conference, pp. 649-652, July 15, 2021

Beomjun Kim, Hyunseok Lim, Inki Kim, Jeonghwan Gwak*, “Dataset Augmentation Technique for Crack Detection of Wood Building,” Proceedings of the Korean Society of Computer Information Conference, pp. 645-648, July 15, 2021

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak*, “A Bulge Detection Model in Cultural Asset images using Ensemble of Deep Features,” Proceedings of the Korean Society of Computer Information Conference, pp. 128-132, July 15, 2021

Mingyu Kim, Xufeng Hu, Inki Kim, Hyunseok Lim, Jeonghwan Gwak*, “An Algorithm for Detecting Deformation of Wooden Buildings using Straight Line Detection,” Proceedings of the Korean Society of Computer Information Conference, pp. 653-654, July 15, 2021

Thi Kieu Khanh Ho, Inki Kim, Younghoon Jeon, Jong-In Song, Jeonghwan Gwak*, “An EEG-fNIRS Hybridization Technique in the Multi-class Classification of Alzheimer's Disease Facilitated by Machine Learning,” in Proceedings of the Korean Society of Computer Information Conference, pp. 305-307, July 15, 2021 (Excellent Paper Award)

Thi Kieu Khanh Ho, Younghoon Jeon, Jeonghwan Gwak*, “Ensemble Knowledge Distillation for Classification of 14 Thorax Diseases using Chest X-ray Images,” in Proceedings of the Korean Society of Computer Information Conference, pp. 313-315, July 15, 2021

YoungHoon Jeon, Thi Kieu Khanh Ho, Jeonghwan Gwak*, Jong-In Song, “Gait Analysis and Machine Learning-based Classification Model using Smart Insole for Alzheimer's Disease Severity Classification,” in Proceedings of the Korean Society of Computer Information Conference, pp. 317-320, July 15, 2021

Jaeyong Kang, Hyunseok Lim, Dongwook Min, Zahid Ullah, Jeonghwan Gwak*, “Anomaly detection system using ResUNet++ based image inpainting method,” in Proceedings of Next Generation Computing Conference 2021, Gwangju, Korea, May 5, 2021 (Best Paper Award)

Jaeyong Kang, Hyunseok Lim, Xufeng Hu, Jeonghwan Gwak*, “Embedding similarity-based crowd anomaly detection using object centric augmentation,” in Proceedings of Next Generation Computing Conference 2021, Gwangju, Korea, May 5, 2021

Jaeyong Kang, Hyunseok Lim, Inki Kim, Zahid Ullah, Jeonghwan Gwak*, “Effective data preprocessing for a reconstruction model-based anomaly detection,” in Proceedings of Next Generation Computing Conference 2021, Gwangju, Korea, May 5, 2021

Dongwook Min, Hyunseok Lim, Thi Kieu Khanh Ho, Jaeyong Kang, Jeonghwan Gwak*, “Cough Detection System Using Deep Learning,” in Proceedings of Next Generation Computing Conference 2021, Gwangju, Korea, May 5, 2021

Hyunseok Lim, Mingyu Kim, Jaeyong Kang, Jeonghwan Gwak*, “Performance Comparison of SSIM loss function applied in the GAN-based anomaly detection system,” in Proceedings of Next Generation Computing Conference 2021, Gwangju, Korea, May 5, 2021

Inki Kim, Hyunseok Lim, Thi Kieu Khanh Ho, Jaeyong Kang, Jeonghwan Gwak*, “Imbalanced Dataset training techniques with Hard negative mining and Sample Selection,” in Proceedings of Next Generation Computing Conference 2021, Gwangju, Korea, May 5, 2021

Hyunwook Kim, Hyunseok Lim, Jeonghwan Gwak*, “Comparative Study on the Effects of Deep Learning-based Vehicle Detection Models for Improving ALPR Performance,” in Proceedings of 2020 Spring Conference of KISM, May 23, 2020, Gwangju, Republic of Korea

Hyunseok Lim, Sangwon Pak, Jeonghwan Gwak*, “Abnormal Object Detection and Localization by Utilizing Optical Flow and Instance Segmentation,” in Proceedings of 2020 Spring Conference of KISM, May 23, 2020, Gwangju, Republic of Korea

Jooho Lee, Sangwon Pak, Hyunseok Lim, Gwang Lee, Bongkeun Kim, Jeonghwan Gwak*, “Comparative Study of Deep Learning-based Face Segmentation Methods for Intelligent Privacy Masking,” in Proceedings of 2020 Spring Conference of KISM, May 23, 2020, Gwangju, Republic of Korea

Dongwook Min, Hyunseok Lim, Gwang Lee, Bongkeun Kim, Jeonghwan Gwak*, “Research of License Plate Detection and Recognition with Fast Super Resolution GAN,” in Proceedings of 2020 Spring Conference of KISM, May 23, 2020, Gwangju, Republic of Korea (Excellent Paper Award)

Sangwon Pak, Hyunseok Lim, Hyunwook Kim, Jeonghwan Gwak*, “Robust Face Segmentation Model by Combining Multi-Task CNN and Global Convolutional Network,” in Proceedings of 2020 Spring Conference of KISM, May 23, 2020, Gwangju, Republic of Korea. 

J. Gwak, C-M. Park, J. Choi, H. Kim, E-J. Hwang, J-M. Goo, “Towards Hierachical Optimization of Pretrained Deep Learning Models for Tuberculosis Screening in Chest Radiograph,” RSNA 2018, November 25­–30, Chicago, United States.

J. Gwak, J. Choi, H. Kim, E-J. Hwang, J-M. Goo, C-M. Park, “Towards Robust X-ray-based Tuberculosis Screening using An Optimized Pretrained Deep Learning Model,” Korean Congress of Radiology (KCR 2018), September 12–15, Seoul, Korea.

J. Gwak, H. Kim, E-J. Hwang, C-M. Park, J-M. Goo, “False Positive Reduction Scheme for Effective Lung Nodule Detection using Dual Deep Neural Networks,” Korean Congress of Radiology (KCR 2018), September 12–15, Seoul, Korea.

J. Gwak, H. Kim, Eui Jin Hwang, M. Lee, J-M. Goo, C-M. Park, “Cascaded Deep Denoising Model for Low-dose CT Image Quality Enhancement,” Korean Congress of Radiology (KCR 2018), September 12–15, Seoul, Korea.

J. Gwak, J-I. Song, K. Kim, M. Jeon, C. Park, H. Jeong, K-Y. Choi, J-E. Park, J-S. Lee, B-C. Kim, and K-H. Lee, “Towards Perceptual Deep Learning-Based Abnormal Behavior Pattern Analysis for Patients with Alzheimer’s Disease,” in Proceedings of the Alzheimer's Association International Conference (AAIC), July 22­–26, 2018, Chicago, United States.

J. Gwak, C. Park, H. Jeong, S. Jang, M. Kim, J. G. Kim, S. C. Jun, K. Y. Choi, B. C. Kim, K. H. Lee, J.-I. Song, “Brain function and behavior ability-based correlation study for stage discrimination and monitoring of Alzheimer’s disease,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.

J. Gwak, J.-I. Song, “Diagnosis of Alzheimer’s disease using 3D cascaded deep learning with perceptual loss,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.

S. Jang, E. Kim, J. Gwak, K. Y. Choi, B. C. Kim, J.-I. Song, K. H. Lee, S. C. Jun, “Neurophysiological features in Alzheimer’s disease progression - an EEG study,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.

M. Kim, T. Nguyen, J. Gwak, J. J. Lee, K. Y. Choi, K. H. Lee, J. G. Kim, “Investigation of the resting state functional connectivity in preclinical Alzheimer’s disease stages: a fNIRS study,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.

K.-Y. Sim, S.-H. Park, K. Y. Choi, J. E. Park, J. S. Lee, B. C. Kim, J. Gwak, W. K. Song, K. H. Lee, S.-G. Park, ‘High-throughput epitope profiling of antibodies in the plasma of Alzheimer’s disease dementia patients using random peptide microarrays,” In KSBNS 2018, Aug 30–31, 2018, Seoul, Korea.

J. Gwak, M. Jeon, K. Kim, J-I. Song, “Stage classification and progress monitoring of Alzheimer’s disease: cognition and behavior analysis using a deep learning approach”, In KSBNS 2017, August 30­–31, Seoul, Korea. (Poster Presentation by J. Gwak)

M. Kim, T. Nguyen, J. Kim, J-S. Lee, K. H. Lee, K. Y. Choi, J. E. Park, B. C. Kim, J. Gwak, and J. G. Kim, "The delayed blood supply in mild cognitive impairment patients during a verbal fluency task: an fNIRS study", Annual Biophotonics Conference 2017

J. Gwak, S-W. Lee, J-I. Song, “Adaptive Multi-Kernel Boosting Approach for Classification of Alzheimer’s Disease,” Intelligent Brain 2016, September 28–29, 2016, KINTEX, Korea (Poster Presentation by J. Gwak)

J. Gwak, S-W. Lee, M. Jeon, J-I. Song, “Optimal Automatic Feature Selection through Iterative Reweighting for Class-Imbalanced Data Sets to Classify Alzheimer's Disease/MCI/NC with High Diagnostic Accuracy,” in Proceedings of the Alzheimer's Association International Conference (AAIC), July 22­–28, 2016, Toronto, Canada.

J. Gwak, M. Jeon, J-I. Song, “Cognition and Behavior Analysis for Stage Classification and Progress Monitoring of Alzheimer’s Disease,” Intelligent Brain 2016, September 28­–29, 2016, KINTEX, Korea. (Poster Presentation by J. Gwak)

J. Gwak*, Y. Jeon, "System and method for detecting anomaly based on normalized flow," KR Patent, (Application No. 10-2024-0059842)

J. Gwak*, B. Kim, I. Kim, C. Park, "Knowledge sharing system between parent/child models and Lightweight Image Classification Model," KR Patent,  (Application No. 10-2024-0041011)

J. Gwak*, B. Kim, N. Kim, "Predictive model devices using spatial-temporal features and operation method thereof," KR Patent,  (Application No. 10-2024-0041012)

J. Gwak*, I. Kim, C. Park, N. Kim, J. Park, J. Lee, "Apparatus and method for detecting anomaly in video data," KR Patent,  (Application No. 10-2024-0069105)

J. Gwak*, Y. Jeon, “Apparatus for Data Compression based on Multi-Modal, And Control Method Thereof,” KR Patent, (Application No. 10-2022-0042286)

J. Gwak*, S. Woo, I. Kim, B. Kim, “Palm Information-Based Multi-Dimensional Biometric Authentication Apparatus, and Control, Method Thereof,” KR Patent, (Application No. 10-2022-0032427)

J. Gwak*, J. Kang, “Detection Apparatus For Abnormal Object, And Control Method Thereof,” KR Patent, (Application No. 10-2021-0067654)

J. Gwak*, I. Kim, “Method and Apparatus for Generating Object Detection Model,” KR Patent, (Application No. 10-2021-0069647, Registration No. 10-2379855)

J. Gwak*, J. Kang, “Object Identification Apparatus, and Control Method Thereof,” KR Patent, (Application No. 10-2021-0076019 Registration No. 10-2372508)

J. Gwak*, H. Lim, “Apparatus and Method for Detecting Object of Abnormal Behavior,” KR Patent, (Application No. 10-2021-0069658, Registration No. 10-2347811)

J. Gwak*, M. Jeon, “A Real-time Visual Anomaly Detection Device and a Method Thereof,” (Application No. 10-2018-0028612, Registration No. 10-2052649)

J. Gwak*, M. Jeon, “Multi-Object Tracking System and Multi-Object Tracking Method using Same,” PCT Patent, Application Completed (Application No. PCT/KR2017/001659)

J. Gwak*, G. Park, M. Jeon, “Object Reidentification Method for Global Multi-Object Tracking,” PCT Patent, Application Completed (PCT/KR2017/002222)

J. Gwak*, M. Jeon, “A Method for Tracking Multi-Object Through Relational Appearance Features and Motion Patterns, and a Computer Readable Storage Medium Thereof,” KR Patent, Application Completed (Application No. 10-2017-0010701, Registration No. 10-1866338)

J. Gwak*, G. Park and M. Jeon, “Viewpoint Invariant Re-Identification of Persons for Global Multi-Object Tracking across Non-Overlapping Cameras,” KR Patent, Application Completed (Application No. 10-2016-0024674)

J. Gwak*, E. Yang, M. Jeon, “System for tracking moving multi-target method for tracking of moving multi-target using same,” US Patent, Application Completed (Application No. 62296101); KR Patent, Application Completed (Application No. 10-2016-0024674)

J. Yu, J. Gwak and M. Jeon, “Alarming apparatus and method for event occurrence, and providing method of event occurrence determination model,” US Patent, Application Completed (Application No. 62295155); KR Patent, Registered (Registration No. 10-1766467)

J. Gwak, “Integrated Multimodal and Semi-Supervised System for Image Segmentation,” Registered, C-2023-048780

J. Gwak, “Optimal Classifier using Deep Learning and Machine Learning Ensemble,” Registered, C-2021-040106

J. Gwak, “Deep Feature Ensemble Techniques for Optimal Classification,” Registered, C-2021-039943

J. Gwak, “Anomaly Detection using Embedding Similarity-based Deep Learning,” Registered, C-2021-039944

J. Gwak, “Optimal Knowledge Distillation Ensemble for Optimal Classifier Design,” Registered, C-2021-039945

J. Gwak, “Ensemble of Multi-Task Deep Learning for Optimal Classification,” Registered, C-2021-039946

J. Gwak, “Object Detection and Segmentation using Ensemble of Mask R-CNNs,” Registered, C-2021-039947

J. Gwak, “AD Severity Monitoring System,” Registered, C-2021-039951

J. Gwak, “fNIRS-based AD Severity Classification using a hybrid of 1DCNN and LSTM,” Registered, C-2021-039948

J. Gwak, “EEG-based AD Severity Classification System using CNN-LSTM hybrids,” Registered, C-2021-039949

J. Gwak, “Oversampling Techniques for Optimizing Combined Models using EEG/fNIRS,” Registered, C-2021-039950

J. Gwak, “Voting Ensemble for Integration of AD Severity Monitoring Systems,” Registered, C-2021-039952

J. Gwak, “Optimal Behavior Monitoring System based on Evolutionary Algorithms,” Registered, C-2021-039953

J. Gwak, “Smart Insole-based Gait Variability Analysis System using Deep Learning,” Registered, C-2021-021717

J. Gwak, “Optimal Gait Parameter Extraction Method for Gait Variability Analysis,” Registered, C-2021-021718

I. Kim, J. Gwak, “Hard Negative Mining for Imbalanced Datasets to Detect COVID-19 using Radiography,” Registered, C-2021-021719

H. Lim, J. Gwak, “Abnormal Behavior Detection System through Motion Pattern Learning using GAN,” Registered, C-2021-021720

J. Gwak, “Deep Learning-based Pedestrian Detection System for Behavior Modelling,” Registered, C-2018-031929

J. Gwak, “Feature Extraction System for Behavior Modelling,” Registered, C-2018-031930

J. Gwak, “Behavior Monitoring System using Compact Sparse Representation,” Registered, C-2018-031931

J. Gwak, “Real-time Multi-object Tracking System,” Registered, C-2018-031932

J. Gwak, “Integrated EEG/fNIRS Signal Analysis System,” Registered, C-2018-031933

J. Gwak, “Deep Learning-based fNIRS Signal Analysis System,” Registered, C-2018-031934

J. Gwak, “Deep Learning-based System for Reducing Noises in LDCT images,” Registered, C-2018-031935

J. Gwak, M. Jeon, “Multi-object tracking method through relative appearance features and motion patterns,”

J. Gwak, “Gait Data Collection and Gait Feature Extraction Method Capable of Intelligent Analysis using Smart Insole,”