Publications

Journal Publications 

1. 2024: Rufus., Sreehari, S., & Anzar, S. M. (2024). The robust SmartEnsembleNet: A game changer in finger knuckle biometrics. Expert Systems with Applications, 124810. https://doi.org/10.1016/j.eswa.2024.124810 (SCI and Scopus Indexed with Impact Factor 7.5, Science Direct Q1 journal)

2. 2024: Sumod S., Subramanian, S., & Mahmud, M. (2024). Classification of Diabetic Retinopathy Disease Levels by Extracting Spectral Features Using Wavelet CNN. Diagnostics, 14(11), 1093.  DOI: 10.3390/diagnostics14111093 (SCI and Scopus Indexed with Impact Factor 3.6, MDPI Q2 journal)

3. 2024: Abdul Rahim, Sabeena Beevi (2024). Efficient mitosis detection: leveraging pre-trained faster R-CNN and cell-level classification. Biomedical Physics & Engineering Express, 10(2), 025031. DOI 10.1088/2057-1976/ad262f (SCI and Scopus Indexed with Impact Factor 1.3, IOP Publishing)

4. 2024: Chinnu J,  Menon, G. C. (2024). A Hybrid Attention-based Deep Model for Lung Cancer Subtype Classification from Multimodality Images. International Journal on Artificial Intelligence Tools, 33(01), DOI: 10.1142/s0218213023500525 (SCI and Scopus Indexed with Impact Factor 1.1, World Scientific journal)

5. 2023: Abdul Rahim, Sabeena Beevi (2023). Multi CNN based automatic detection of mitotic nuclei in breast histopathological images. Computers in Biology and Medicine, 158, 106815. https://doi.org/10.1016/j.compbiomed.2023.106815 (SCI and Scopus Indexed with Impact Factor 7.0, Science Direct Q1 journal)

6. 2023: Sumod S, and S. Sumathy. (2023) "Classification of Diabetic Retinopathy disease levels by extracting topological features using Graph Neural Networks." IEEE Access, DOI: 10.1109/ACCESS.2023.3279393 (SCI and Scopus Indexed with Impact Factor 3.476, IEEE Q1 journal)

7. 2023: Sumod S, Sumathy. S (2023), “An effective deep learning model for grading abnormalities in retinal fundus images using variational auto-encoders”, International Journal of Imaging Systems and Technology, DOI: 10.1002/ima.22785 (SCI and Scopus Indexed with Impact Factor 3.3, Wiley Q2 journal)

8.  2023: Chinnu J, Gopakumar, C., Fathima (2023). Optimized radiomics-based machine learning approach for lung cancer subtype classification. Biomedical Engineering: Applications, Basis and Communications, 35(05), 2350023. DOI: 10.4015/s1016237223500230 (Scopus and ESCI Indexed, world scientific journal)  

9. 2023: Anagha, K. J., & Beevi, S. Advancing Road Scene Semantic Segmentation with UNet-EfficientNetb7. International Journal of Engineering and Manufacturing (IJEM), Modern Education and Computer Science Press(MECS Press)  DOI: https://doi.org/10.5815/ijem.2023.06.05 

10. 2022: Sumod S, Sumathy. S (2022), “RetU-Net: An enhanced U-Net architecture for Retinal Lesion segmentation”, International Journal on Artificial Intelligence Tools, DOI: 10.1142/S0218213023500136 (SCI and Scopus Indexed with Impact Factor 1.1, World Scientific journal)

11. 2022: Sumod S, Sumathy. S (2022), “Transfer Learning approach in Deep Neural Networks for Uterine Fibroid detection”, International Journal of Computational Science and Engineering, DOI: 10.1504/IJCSE.2022.120788 (Scopus and ESCI Indexed, Inderscience journal)

12. 2021: Chinnu Jacob, Gopakumar Chandrasekhara Menon. (2021). Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks, DOI: 10.1002/ima.22684 (SCI and Scopus Indexed with Impact Factor 3.3, Wiley Q2 journal)

Conference Publications 

1. 2024: Sufail, Chinnu Jacob, Chirsty, (2024, May). An Integrated Deep Learning Approach for Crack Detection and Localization in Tyre Images. In 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS) (pp. 1-6). IEEE. DOI: 10.1109/RAICS61201.2024.10690007

2. 2024: Irfan, Chinnu Jacob., & Resmi, R. (2024, May). Facial Recognition and CCTV Integration for Enhanced Security Using Deep Learning Techniques. In 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS) (pp. 1-5). IEEE. DOI: 10.1109/RAICS61201.2024.10689986

3. 2024: Anila., Chinnu Jacob,Resmi, R. An Efficient U-Net based Model for Low Grade Glioma Segmentation in MRI Images. In 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE) (pp. 1-5). IEEE. DOI: 10.1109/ictite58242.2024.10493347

4. 2023: Amala., Saritha Jayaraj, Sumod Sundar, and TP Imthias Ahamed. "Residential Demand Response using Q-Learning with Pursuit Algorithm for Action Selection." In 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE), pp. 1-6. IEEE, 2023. DOI:10.1109/PESGRE58662.2023.10404131

5. 2023: Steephen S, Sheeba R, Sumod S. Demand forecasting in smart homes using deep learning techniques. In2023 International Conference on Control, Communication and Computing (ICCC) 2023 May 19 (pp. 1-6). IEEE., DOI:10.1109/ICCC57789.2023.10165034

6. 2023: Rufus, Anzar, S. M., Panthakkan, A., & Mansoor, W. (2023, November). Transforming Healthcare: Raabin White Blood Cell Classification with Deep Vision Transformer. In 2023 6th International Conference on Signal Processing and Information Security (ICSPIS) (pp. 212-217). IEEE. DOI: 10.1109/ICSPIS60075.2023.10344258 

7. 2022: Archa Joshy , Sumod S. Analyzing the Performance of Sentiment Analysis using BERT, DistilBERT, and RoBERTa. In2022 IEEE International Power and Renewable Energy Conference (IPRECON) 2022 Dec 16 (pp. 1-6). IEEE., pp. 1-6, DOI: 10.1109/IPRECON55716.2022.10059542

8. 2022: Fathima N, Sumod S. Efficient DDoS Attack Detection using Machine Learning Techniques. In2022 IEEE International Power and Renewable Energy Conference (IPRECON) 2022 Dec 16 (pp. 1-6). IEEE. DOI: 10.1109/IPRECON55716.2022.10059561

9. 2022: Jumana, Chinnu Jacob. Deep CNN Based Approach for Driver Drowsiness Detection. In 2022 IEEE International Power and Renewable Energy Conference (IPRECON) (pp. 1-6). IEEE. DOI: 10.1109/iprecon55716.2022.10059547

10.  2022: Rufus, Chinnu Jacob., Anzar, S. M., Panthakkan, A. Mask R-CNN with Multi-Backbones-A Comparative Analysis. In 2022 5th International Conference on Signal Processing and Information Security (ICSPIS) (pp. 55-60). IEEE. DOI: 10.1109/icspis57063.2022.10002546

11. 2022: Abhiram, A. P., Anzar, S. M., & Panthakkan, A. (2022, December). DeepSkinNet: a deep learning model for skin cancer detection. In 2022 5th International Conference on Signal Processing and Information Security (ICSPIS) (pp. 97-102). IEEE. DOI: 10.1109/ICSPIS57063.2022.10002541

12. 2022: N. Ansalnakhan and Fousia Shamsudeen. Remaining Useful Life and State of Health Assessment for Lithium Ion Batteries Using CNN-BILSTM-DNN Hybrid Method. 2022 IEEE International Power and Renewable Energy Conference (IPRECON), Kollam, India, 2022, pp. 1-6. doi: 10.1109/IPRECON55716.2022.10059708.

13. 2022: Sreelekshmi., Adarsh, S. Root Cause Analysis in Power Transformer Failure with Improved Intelligent Methods. In 2022 IEEE International Power and Renewable Energy Conference (IPRECON) (pp. 1-6). IEEE. doi: 10.1109/IPRECON55716.2022.10059538.

14. 2022: Akshay KR,Sumod S, Shanir PP. Emotion recognition from EEG signals using machine learning model. In2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) 2022 Nov 26 (pp. 1-6). IEEE. DOI: 10.1109/IMPACT55510.2022.10029284

15. 2021: Subuhana N, Aysha, Sumod. Deep learning techniques for breast cancer analysis: a review. In2021 Fourth International Conference on Microelectronics, Signals & Systems (ICMSS) 2021 Nov 18 (pp. 1-6). IEEE. DOI:10.1109/ICMSS53060.2021.9673651

16. 2021: Ganga Saji, Thanseem, Sumod S Deep Learning Methods for Lung Cancer Detection, Classification and Prediction-A Review. In2021 Fourth International Conference on Microelectronics, Signals & Systems (ICMSS) 2021 Nov 18 (pp. 1-5). IEEE. DOI: 10.1109/ICMSS53060.2021.9673598

17. 2021: Aswathy S, Saranya T, Sumod S, Santhi N. Deep Learning Techniques for Brain Tumor Diagnosis: A Review. In2021 Fourth International Conference on Microelectronics, Signals & Systems (ICMSS) 2021 Nov 18 (pp. 1-6). IEEE. DOI: 10.1109/ICMSS53060.2021.9673638

18.  2020: Chinnu Jacob., Gopakumar, C., Sivadath, B. Detection and Localization of Pulmonary Carcinoma Using Deep Learning Approach in Computed Tomography Images. In International Conference on Automation, Signal Processing, Instrumentation and Control (pp. 1881-1888). Singapore: Springer Nature Singapore. DOI: 10.1007/978-981-15-8221-9_174

19.  2020: Chinnu Jacob., Gopakumar, C. Pulmonary nodule detection techniques in ct images: new strategies and challenges. In 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) (pp. 1279-1283). IEEE. DOI: 10.1109/icaccs48705.2020.9074161

Conference Publications - Accepted 

1. Mithun, Sumod, Christy D Ponnan, College Library Face Detection and Management System with Anti-spoofing Mechanism, IEEE ACOIT 2024,  [Presented & Awaiting Publication].

White Papers (in Tata Elxsi Insights)

Ann B Merin (Batch 2022-24) :

1. Accelerating Unit Testing using Generative AI: 

https://www.tataelxsi.com/insights/accelerating-unit-testing-using-generative-ai

2. Automotive System Requirement Generation using retrieval augmented generation rag and Generative AI

https://www.tataelxsi.com/insights/automotive-system-requirement-generation-using-retrieval-augmented-generation-rag-and-generative-ai