Selorm Adablanu, Utpal Barman, Dulumani Das, A Hybrid 1D-CNN and Transformer-Based Deep Learning Framework for Stroke Detection Using Brain CT Scans. Procedia Computer Science Vol. 283 Pageno: 446-455 . https://doi.org/10.1016/j.procs.2026.06.129
Selorm Adablanu, Utpal Barman, Dulumani Das, Tuward Jade Dweh, Transforming Skin Cancer Detection With AI‐Based Convolutional and Transformer Models. iRADIOLOGY . https://doi.org/10.1002/ird3.70058
Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia, Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection. Future Internet Vol. 17 6 . https://doi.org/10.3390/fi17060247
Gunikhan Sonowal, Soraisam Gobinkumar Singh, Prasanta Bairagi, Utpal Barman, Dulumani Das, Mammadov Iltimas, Gulnar Gurbanova, COMPREHENSIVE EVALUATION AND PERFORMANCE ANALYSIS OF A DEEP LEARNING MODEL WITH HYPERPARAMETER TUNING FOR LUMPY SKIN DISEASE CLASSIFICATION IN DAIRY COWS. Reliability: Theory & Applications . https://cyberleninka.ru/ahttps://cyberleninka.ru/a
Soraisam Gobinkumar Singh, Dulumani Das, Utpal Barman, Hasan Huseynov, OPTIMIZED CNN-BASED APPROACH FOR ALZHEIMER’S DISEASE BY TACKLING CLASS IMBALANCE IN MRI CLASSIFICATION. Reliability: Theory & Applications . https://cyberleninka.ru/article/n/optimized-cnn-ba
Selorm Adablanu, Utpal Barman, and Dulumani Das , Advancing Deep Learning for Automated Stroke Detection: A 2 Review. Brain Hemorrhages . https://doi.org/10.1016/j.hest.2025.07.002 https://www.sciencedirect.com/science/article/pii/S2589238X25000531?ref=pdf_download&fr=RR-2&rr=95f01aefbd803b09
Nabanita Daimary, Devabrata Sarmah,Arup Bhattacharjee, Utpal Barman and Manob Jyoti Saikia , Geotechnical Performance of Lateritic Soil Subgrades Stabilized with Agro-Industrial Waste: An Experimental Assessment and ANN-Based Predictive Modelling. Geotechnics Vol. 5 3 Pageno: 1-18 . https://doi.org/10.3390/geotechnics5030065
S Adablanu, U Barman, D Das, A novel hybrid adaptive transformer framework with multihead self attention for stroke detection. Discover Neuroscience Vol. 24 1 . https://doi.org/10.1186/s13064-025-00224-7
Selorm Adablanu, Utpal Barman, Dulumani Das, 15 Years of Optimizers in Medical Deep Learning: A Systematic Review. Neuroscience Informatics . https://doi.org/10.1016/j.neuri.2025.100249
Amarjyoti Pathak, Th Shanta Kumar, Utpal Barman, Static analysis framework for permission-based dataset generation and android malware detection using machine learning. EURASIP Journal on Information Security Vol. 33 1 Pageno: 1-12 . https://doi.org/10.1186/s13635-024-00182-3
Soraisam Gobinkumar Singh, Dulumani Das, Utpal Barman, Manob Jyoti Saikia, Early Alzheimer’s disease detection: A review of machine learning techniques for forecasting transition from mild cognitive impairment. Diagnostics Vol. 14 16 Pageno: 1759 . https://doi.org/10.3390/diagnostics14161759
Mazida A Ahmed, Ridip Dev Choudhury, Shikhar Kr Sarma, Khurshid A Borbora, Manash P Bhuyan, Utpal Barman, Hybrid deep Ensemble for Fine-Grained Race Estimation. Multimedia Tools and Applications . https://doi.org/10.1007/s11042-024-19950-x
Debdeep Saha, Mithu Sarkar, Utpal Barman, Illustration of maiden frequency control scheme of combined cycle gas turbine and doubly fed induction generator integrated distributed energy resources based isolated power system. Electrical Engineering Vol. 106 4 Pageno: 3691-3704 . https://doi.org/10.1007/s00202-023-02184-9
Utpal Barman, Manob Jyoti Saikia, Smartphone contact imaging and 1-D CNN for leaf chlorophyll estimation in agriculture. Agriculture Vol. 14 8 Pageno: 1262 . https://doi.org/10.3390/agriculture14081262
Manashi Karmakar, Binita Chakraborty, Amisha Sultana Hussain, Pervej Alom Barbhuiya, Noksensangla Y. Chang, Ireenia Warjri, Wankupar Wankhar, Utpal Barman, Mrinmoy Basak, Saikat Sen and Manash Pratim Pathak, A Systemic Review of Pre-clinical Studies of Herbal Plants having Anti-Polycystic Ovarian Syndrome Activity: A PAN-India Study. The Natural Products Journa Vol. 15 3 . 10.2174/0122103155303329240509115336
Utpal Barman, Dulumani Das, Gunikhan Sonowal, Mala Dutta, Innovative Approaches to Rice (Oryza sativa) Crop Health: A Comprehensive Analysis of Deep Transfer Learning for Early Disease Detection. Yuzuncu Yıl University Journal of Agricultural Sciences Vol. 34 2 Pageno: 314-322 . https://doi.org/10.29133/yyutbd.1402821
Pranobjyoti Lahon, Aditya Bihar Kandali, Utpal Barman, Ruhit Jyoti Konwar, Debdeep Saha, Manob Jyoti Saikia, Deep Neural Network-Based Smart Grid Stability Analysis: Enhancing Grid Resilience and Performance. Energies Vol. 17 11 Pageno: 2642 . https://doi.org/10.3390/en17112642
Amarjyoti Pathak, Utpal Barman, Th Shanta Kumar, Machine learning approach to detect android malware using feature-selection based on feature importance score. Journal of Engineering Research . https://doi.org/10.1016/j.jer.2024.04.008
Utpal Barman, Parismita Sarma, Mirzanur Rahman, Vaskar Deka, Swati Lahkar, Vaishali Sharma, Manob Jyoti Saikia, ViT-SmartAgri: Vision Transformer and Smartphone-Based Plant Disease Detection for Smart Agriculture. Agronomy Vol. 14 2 Pageno: 327 . https://doi.org/10.3390/agronomy14020327
Utpal Barman, Chhandanee Pathak, Nirmal Kumar Mazumder, Comparative assessment of Pest damage identification of coconut plant using damage texture and color analysis. Multimedia Tools and Applications Vol. 82 16 Pageno: 25083-25105 . https://doi.org/10.1007/s11042-023-14369-2
Utpal Barman, Ridip Dev Choudhury, Bishwajeet Bal, Anirban Bhattacharjee, Samujjal Talukdar, Nilanjan Nath, Parikhit Basnet, Abhay Bhowmick, Performance analysis of support vector machine for early identification of citrus diseases. Journal of Applied and Natural Science Vol. 15 2 Pageno: 852 . https://doi.org/10.31018/jans.v15i2.4630
C Bharadwaj, U Barman, S Saha, Analysis of Latency and Bandwidth for Edge-Based Short Length in Edge Computing Devices for Short Ranges and Long Ranges. Indian Journal of Science and Technology . http s://doi.org/10.17485/IJST/v16i8.2051
Utpal Barman, Dulumani Das, Mala Dutta, Krishna Moni Das, Shuvodeep Chowdhury, Enhancing Monsoon Rainfall Forecasting in Assam and Meghalaya: A Time Series Analysis. Annals of Multidisciplinary Research, Innovation and Technology (AMRIT) Vol. 2 2 Pageno: 48-53 . https://www.researchgate.net/profile/Utpal-Barman/
Ananya Kalita, Pranveer Singh, Sunandan Baruah, Utpal Barman, Ankur Pan Saikia, A discussion to promote global sustainability techniques for motivating plastic waste to minimize carbon footprints. Environmental Quality Management Vol. 33 1 Pageno: 327-339 . https://doi.org/10.1002/tqem.22058
Utpal Barman, Ridip Dev Choudhury, Smartphone image based digital chlorophyll meter to estimate the value of citrus leaves chlorophyll using Linear Regression, LMBP-ANN and SCGBP-ANN. Journal of King Saud University-Computer and Information Sciences Vol. 34 6 Pageno: 2938-2950 . https://doi.org/10.1016/j.jksuci.2020.01.005
Utpal Barman, Vishal Barman, Nawaz Khan Choudhury, Mustafizur Rahman, Shikhar Kumar Sarma, Unsupervised Extractive News Articles Summarization leveraging Statistical, Topic-Modelling and Graph-based Approaches. Journal of Scientific & Industrial Research Vol. 81 9 Pageno: 952-962 . DOI: 10.56042/jsir.v81i09.53185
Utpal Barman, Ridip Dev Choudhury, Shikhar Kumar Sarma, Roktim Kamal Senapoty, Aditya Singh, Abhinav Borah, Gitartha Kalita, Smartphone assisting convolutional neural networks for soil texture classification in dry and wet humid conditions in West Guwahati, Assam.. Journal of Applied & Natural Science Vol. 14 4 . https://doi.org/10.31018/jans.v14i4.3966
Utpal Barman, Ridip Dev Choudhury, Smartphone assist deep neural network to detect the citrus diseases in agri-informatics. Global Transitions Proceedings Vol. 3 2 Pageno: 392-398 . https://doi.org/10.1016/j.gltp.2021.10.004
Dipankar Dutta, Ridip Dev Choudhury, Utpal Barman, Assamese Speech-based Vocabulary Identification System using Convolutional Neural Network. International Journal of Computing and Digital Systems Vol. 12 1 Pageno: 1191-1202 . https://dx.doi.org/10.12785/ijcds/120195
Utpal Barman, Deep Convolutional neural network (CNN) in tea leaf chlorophyll estimation: A new direction of modern tea farming in Assam, India.. Journal of Applied & Natural Science Vol. 13 3 . https://doi.org/10.31018/jans.v13i3.2892
Utpal Barman, Ridip Dev Choudhury, Soil texture classification using multi class support vector machine. Information Processing in Agricultur Vol. 7 2 Pageno: 318-332 . https://doi.org/10.1016/j.inpa.2019.08.001
Utpal Barman, Ridip Dev Choudhury, Diganto Sahu, Golap Gunjan Barman, Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease. Computers and Electronics in Agriculture Vol. 177 Pageno: 105661 . https://doi.org/10.1016/j.compag.2020.105661
Utpal Barman, Ridip Dev Choudhury, Prediction of soil pH using smartphone based digital image processing and prediction algorithm. Journal of Mechanics of Continua And Mathematical Sciences . https://doi.org/10.26782/jmcms.2019.04.00019
Utpal Barman, Uzzal Sharma, Animesh Sarmah, Pranoy Bhowmick, Double Stage chain routing Protocal in WSN. ADBU Journal of Engineering Technology . https://journals.dbuniversity.ac.in/ojs/index.php/
Pranobjyoti Lahon , Utpal Barman , Aditya Bihar Kandali , Enhanced Stability Prediction of Smart Grid using Machine Learning Techniques. International Conference on Emerging Trends in Multidisciplinary Research for Sustainable Future (ICETMRSF–2026) Vol. 1 1 ISBN: 978-81-986430-2-5 Pageno: 67 . 978-81-986430-2-5 [2026]
S. Adablanu, U. Barman and D. Da, Comparative Efficacy of Focal and Binary Cross-Entropy Loss in Handling Class Imbalance for Stroke CT Classification. 2026 Sixth International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT) Vol. 6 . 10.1109/ICAECT68478.2026.11426059. https://ieeexplore.ieee.org/abstract/document/11426059 [2026]
Simanta Kalita, Shikhar Kumar Sarma, Khurshid Alam Borbora, Rup Kumar Deka, Siddhartha Adhyapok & Utpal Barman , LSTM-Based Event Detection in a Stream of Assamese Text. International Conference on Emerging Trends and Technologies on Intelligent Systems . https://doi.org/10.1007/978-981-95-0684-2_23 https://link.springer.com/chapter/10.1007/978-981-95-0684-2_23 [2025]
Soraisam Gobinkumar Singh, Dulumani Das & Utpal Barman , Integrating XAI with Optimized CNNs: A Novel Approach for Imbalanced Alzheimer’s Disease Classification. International Conference on Emerging Trends and Technologies on Intelligent Systems . https://doi.org/10.1007/978-981-95-0681-1_25 https://link.springer.com/chapter/10.1007/978-981-95-0681-1_25 [2025]
K Naveen Kumar, Utpal Barman, Patrick J Masset, TVVLN Rao, Triboinformatic Approaches for Composite Coatings on Titanium Alloys. International Conference on Industrial Tribology Pageno: 235-243 . https://link.springer.com/chapter/10.1007/978-981- https://link.springer.com/chapter/10.1007/978-981-99-9264-5_19 [2022]
Utpal Barman, Vishal Barman, Mustafizur Rahman, Nawaz Khan Choudhury, Graph based extractive news articles summarization approach leveraging static word embeddings. 2021 International Conference on Computational Performance Evaluation (ComPE) Pageno: 008-011 . 10.1109/ComPE53109.2021.9752056 https://ieeexplore.ieee.org/abstract/document/9752056/ [2021]
Utpal Barman, Asif Ekbal Hussain, Mridul Jyoti Dahal, Puja Barman, Mehnaz Hazarika, Time series analysis of assam rainfall using sarima and arima. Smart Computing Techniques and Applications: Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 1 Pageno: 357-364 . https://doi.org/10.1007/978-981-16-0878-0_35 https://link.springer.com/chapter/10.1007/978-981-16-0878-0_35 [2021]
Utpal Barman, Diganto Sahu, Golap Gunjan Barman, A deep learning based android application to detect the leaf diseases of maize. Proceedings of the Sixth International Conference on Mathematics and Computing: ICMC 2020 Pageno: 275-286 . https://doi.org/10.1007/978-981-15-8061-1_22 https://link.springer.com/chapter/10.1007/978-981-15-8061-1_22 [2021]
Utpal Barman, Animesh Sarmah, Diganto Sahu, Golap Gunjan Barman, Estimation of Tea Leaf Chlorophyll Using MLR, ANN, SVR, and KNN in Natural Light Condition. Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India Pageno: 287-295 . https://doi.org/10.1007/978-981-33-4084-8_27 https://link.springer.com/chapter/10.1007/978-981-33-4084-8_27 [2021]
Akalpita Das, Himanish Shekhar Das, Utpal Barman, Arijeet Choudhury, Sourav Mazumdar, Anupal Neog, Detection of breast cancer from mammogram images using deep transfer learning. Advances in Signal Processing and Intelligent Recognition Systems: 6th International Symposium, SIRS 2020, Chennai, India, October 14–17, 2020, Revised Selected Papers 6 Pageno: 18-27 . https://doi.org/10.1007/978-981-16-0425-6_2 https://link.springer.com/chapter/10.1007/978-981-16-0425-6_2 [2021]
Utpal Barman, Diganto Sahu, Golap Gunjan Barman, Comparison of LR, SVR, and DNN for the Rainfall Forecast of Guwahati, Assam. Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India Pageno: 297-304 . https://doi.org/10.1007/978-981-33-4084-8_28 https://link.springer.com/chapter/10.1007/978-981-33-4084-8_28 [2021]
Utpal Barman, Ridip Dev Choudhury, Asif Ekbal Hussain, Mridul Jyoti Dahal, Puja Barman, Mehnaz Hazarika, Comparative assessment of AR, MA and ARMA for the time series forecasting of Assam and Meghalaya rainfall division. 2020 International Conference on Computational Performance Evaluation (ComPE) . https://ieeexplore.ieee.org/abstract/document/9200 https://ieeexplore.ieee.org/abstract/document/9200014/ [2020]
Utpal Barman, Diganto Sahu, Golap Gunjan Barman, Jayashree Das, Comparative assessment of deep learning to detect the leaf diseases of potato based on data augmentation. 2020 International Conference on Computational Performance Evaluation (ComPE) . https://ieeexplore.ieee.org/abstract/document/9200 https://ieeexplore.ieee.org/abstract/document/9200015 [2020]
Utpal Barman, Ridip Dey Choudhury, Ikbal Uddin, Predication of soil pH using K mean segmentation and HSV color image processing. 2019 6th International conference on computing for sustainable global development (INDIACom) . https://ieeexplore.ieee.org/abstract/document/8991 https://ieeexplore.ieee.org/abstract/document/8991364/ [2019]
Title of the Invention :IoT based Smart Parking System for Urban Mobility, Name of the Applicant: Utpal Barman, Application Number: 202331052857, Filing Year: 2023, Status: Published, Country: India
Title of the Invention :A NOVEL SUSTAINABLE IoT OPTIMISED HOUSING SYSTEM FOR SPEED HERBAL MEDICINAL PLANT BREEDING, Name of the Applicant: Utpal Barman, Application Number: 202331052857, Filing Year: 2022, Status: Published
Title of the Invention :A SMART DIGITAL VERMICOMPOST MICRO NUTRIENT QUALITY PRE-DICTION DEVICE, Name of the Applicant: Utpal Barman, Filing Year: 2022, Status: Published, Country: India