Book Chapter (9)
1. R Sarma, S Moulik, A Longkumer, SMAC: A Secure Multi-authority Access Control Scheme with Attribute Unification for Fog Enabled IoT in E-Health. 25th International Conference on Parallel and Distributed Computing: Applications and Technologies, Lecture Notes in Computer Science, Springer Nature Singapore, Hong Kong, Vol. 15502 https://link.springer.com/chapter/10.1007/978-981-96-4207-6_7#citeas [2024]
2. Munsifa Firdaus Khan, Indrani Das, Performance analysis of improved mobility models to check their impact on QoS in MANET. Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022 ISBN: 978-981-19-2980-9 Pageno: 173â182 . https://doi.org/10.1007/978-981-19-2980-9_15 https://link.springer.com/chapter/10.1007/978-981-19-2980-9_15 [2022]
3. Munsifa Firdaus Khan, Indrani Das, Impact of various parameters on Gauss Markov mobility model to support QoS in MANET. Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks Pageno: 85-101 https://www.taylorfrancis.com/chapters/edit/10.1201/9781003206453-6/impact-various-parameters-gauss-markov-mobility-model-support-qos-manet-munsifa-firdaus-khan-indrani-das [2022]
4. R Sarma, F A Barbhuiya, MOFIT: An efficient access control scheme with attribute merging and outsourcing capability for Fog-enhanced IoT. 22nd International Conference on Parallel and Distributed Computing, Applications and Technologies, Lecture Notes in Computer Science, Springer, Cham, Guangzhou, China Vol. 13148 https://link.springer.com/chapter/10.1007/978-3-030-96772-7_49 [2021]
5. Munsifa Firdaus Khan, Indrani Das, Analysis of various mobility models and their impact on QoS in MANET. Computationally Intelligent Systems and their Applications ISBN: 978-981-16-0407-2 Pageno: 131-141 . https://doi.org/10.1007/978-981-16-0407-2_10 https://link.springer.com/chapter/10.1007/978-981-16-0407-2_10 [2021]
6. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, DAMW: Double Auction Multi-Winner Framework for Spectrum Allocation in Cognitive Radio Networks. 20th International Conference on Innovations for Community Services (I4CS) (Springer CCIS), Vol. 1139 ISBN: 978-3-030-37484-6 . https://doi.org/10.1007/978-3-030-37484-6_15 [2020]
7. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Multi-Winner Heterogeneous Spectrum Auction Mechanism for Channel Allocation in Cognitive Radio Networks. 16th International Conference on Distributed Computing and Intelligent Technology (ICDCIT) (Springer LNCS) Vol. 11969 ISBN: 978-3-030-36987-3 . https://doi.org/10.1007/978-3-030-36987-3_16 [2020]
8. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, A General Framework for Spectrum Assignment in Cognitive Radio Networks. 11th International Conference on Advanced Computing and Communication Technologies (ICACCT) (Springer AISC) Vol. 702 ISBN: 978-981-13-0680-8 . https://doi.org/10.1007/978-981-13-0680-8_15 [2018]
9. Monisha Devi, Nityananda Sarma and Sanjib K. Deka, Spectrum Allocation in Cognitive Radio Networks - A Centralized Approach. International Conference on Advanced Computational and Communication Paradigms (ICACCP) (Springer LNEE) Vol. 475 ISBN: 978-981-10-8240-5 . https://doi.org/10.1007/978-981-10-8240-5_10 [2017]
Book(Authored) (1)
1. Prof. Dr. HARISH KUMAR G R (Author), Dr. MOSTAQUE MD. MORSHEDUR HASSAN (Author), Dr. MUNSIFA FIRDAUS KHAN BARBHUYAN (Author), Dr. AJIT KUMAR PATTANAIK (Author), Dr. APARNA GER (Author), AI for Advanced Manufacturing and Industrial Applications. RDG Scientific Publications ISBN: 978-8198699329 Pageno: â 231 pages https://www.amazon.in/dp/B0FDWKWR41/ref [2025]
Book(Edited) (2)
1. Parag Bhuyan, Pranav Kumar Singh, Sujit Kumar Das, Crop Health Monitoring through AI-based Crop Leaf Disease Detection Systems. Computer Vision Techniques for Agricultural Advancements, IGI Global [2024]
2. Sujit Kumar Das, Pinki Roy, and Arnab Kumar Mishra, Deep Learning Techniques Dealing with Diabetes Mellitus: A Comprehensive Study. Health Informatics: A Computational Perspec tive in Healthcare [2021]
Conference (38)
1. Payoshnee Parag Joshi, Munsifa Firdaus Khan Barbhuyan and Mudassir Khan, Enhanced apple leaf disease classification using efficientNetB0 with green channel extraction and CLAHE-based pre-processing. Data-Driven AI: A Multidisciplinary Approach Techniques, Applications, and Insights from Multiple Domains ISBN: 9781041272366 Pageno: 380 https://www.routledge.com/Data-Driven-AI-A-Multidisciplinary-Approach-Techniques-Applications-and-Insights-from-Multiple-Domains/Mahanta-JyotiBora-KumarDutta-Mahanta/p/book/9781041272366 [2026]
2. Prathana Saikia, Sanjib K. Deka, Monisha Devi, Trust Based Security Solution for Attack Detection in Cognitive Radio sensor Networks. 17th International Conference on COMmunication Systems and NETworks (COMSNETS) . 10.1109/COMSNETS63942.2025.10885683 https://ieeexplore.ieee.org/document/10885683 [2025]
3. Munsifa Firdaus Khan Barbhuyan; Satyabrata Nath; Shafiul Alom Ahmed; Amit Kumar Roy, A Performance Optimised Multi-Function Browser Extension for Enhanced Web Privacy and Secure Link Shortening. 2025 International Conference on Computing, Intelligence, and Application (CIACON) Pageno: 1-6 . 10.1109/CIACON65473.2025.11189355 https://ieeexplore.ieee.org/document/11189355 [2025]
4. Amit Kumar Roy, Munsifa Firdaus Khan Barbhuyan, Satyabrata Nath, A Scalable Real-Time Stock Market Prediction Framework Using LSTM Network and XGBoost Model. Data Science and Network Engineering. ICDSNE 2025. Lecture Notes in Networks and Systems Vol. 1668 ISBN: 978-3-032-07735-6 Pageno: 79-90 . https://doi.org/10.1007/978-3-032-07735-6_8 https://link.springer.com/chapter/10.1007/978-3-032-07735-6_8 [2025]
5. Munsifa Firdaus Khan Barbhuyan, Ali H. Wheeb, Mostaque Md. Morshedur Hassan and Asmita Ray, Exploring the future of connectivity: A comprehensive review of wireless and optical communications. Data-Driven AI: A Multidisciplinary Approach Techniques, Applications, and Insights from Multiple Domains ISBN: 9781041272366 Pageno: 380 https://www.routledge.com/Data-Driven-AI-A-Multidisciplinary-Approach-Techniques-Applications-and-Insights-from-Multiple-Domains/Mahanta-JyotiBora-KumarDutta-Mahanta/p/book/9781041272366 [2025]
6. Prathana Saikia, Sanjib K. Deka, Monisha Devi, A Robust Trust Framework for Detecting ON-OFF Attacks in Cognitive Radio Sensor Networks. IEEE Calcutta Conference (CALCON) . 10.1109/CALCON63337.2024.10914179 https://ieeexplore.ieee.org/document/10914179 [2024]
7. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Single-Sided Auction based Multi-Channel Allocation with Spectrum Reuse in CR Networks. 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) . 10.1109/ICCCNT61001.2024.10724450 https://ieeexplore.ieee.org/document/10724450 [2024]
8. Priya Bhowmick, K Revanth, Parlapalli Lakshmi, Sujit Kumar Das, Tina Babu, Attention Based CNN to Improve Identification of Ischaemia and Infection in DFU. International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore . 10.1109/ICCAMS60113.2023.10525795 [2023]
9. Dipankar Chatterjee, Mostaque Md Morshedur Hassan, Nazrul Islam, Asmita Ray, Munsifa Firdaus Khan Barbhuyan, A Futuristic Approach to Security in Cloud Data Centers Using a Hybrid Algorithm. Engineering Proceedings Vol. 59 1 Pageno: 47 . 10.3390/engproc2023059047 https://www.mdpi.com/2673-4591/59/1/47 [2023]
10. 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]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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 14â17, 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]
16. 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]
17. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Spectrum Auction Mechanism based on Concurrent Bidding for Channel Allocation in Ad Hoc CRNs. IEEE 18th India Council International Conference (INDICON) . 10.1109/INDICON52576.2021.9691619 https://ieeexplore.ieee.org/document/9691619 [2021]
18. Abhishek Kumar, Pinki Roy, Arnab Kumar Mishra, and Sujit Kumar Das, Artificial Intelligence in Radiological Covid19 Detection: A State of the Art Review. 2nd International Conference on Big Data, Machine Learning and Applications, National Institute of Technology, Silchar, India [2021]
19. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, and Sujit Kumar Das, ADASemSeg: An Active Learning Based Data Adaptation Strategy for Improving Cross Dataset Breast Tumor Segmentation. 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, National Institute of Technology, Raipur, India [2021]
20. Deepali Jain, Arnab Kumar Mishra, and Sujit Kumar Das, Machine Learning-Based Automatic Prediction of Parkinsonâs Disease Using Speech Features. Proceedings of International Conference on Artificial Intelligence and Applications. Springer, Singapore [2021]
21. Sujit Kumar Das, Pinki Roy, and Arnab Kumar Mishra, âPre-Trained EfficientNet-B0 with adjusted Optimizer, Learning rate and Image size to Improve Diabetic Foot Ulcers Diagnosis. International Conference on Emerging Electronics and Automation, National Institute of Technol ogy, Silchar, India [2021]
22. Sujit Kumar Das, Pinki Roy, and Arnab Kumar Mishra, Analysis of Synthetic Data Generation Techniques in Diabetes Prediction. 2nd International Conference on Big Data, Machine Learning and Applications, National Institute of Technology, Silchar, India [2021]
23. R Sarma, C Kumar, F A Barbhuiya, ACS-FIT: A secure and efficient access control scheme for fog-enabled IoT. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, IEEE https://ieeexplore.ieee.org/abstract/document/9283362 [2020]
24. 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]
25. 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]
26. R Sarma, F A Barbhuiya, Internet of Things: attacks and defences. 7th International Conference on Smart Computing & Communications (ICSCC), Sarawak, Malaysia, IEEE https://ieeexplore.ieee.org/abstract/document/8843649 [2019]
27. 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]
28. Munsifa Firdaus Khan, Indrani Das, An investigation on existing protocols in MANET. Innovations in Computer Science and Engineering: Proceedings of the Sixth ICICSE 2018 ISBN: 978-981-13-7082-3 Pageno: 215â224 . https://doi.org/10.1007/978-981-13-7082-3_26 https://link.springer.com/chapter/10.1007/978-981-13-7082-3_26 [2019]
29. Sourish Dhar, Sudipta Roy, and Sujit Kumar Das, A Critical Survey of Mathematical Search Engines. International Conference on Computational Intelligence, Communications, and Business Analytics [2018]
30. Sujit Kumar Das, A. Mishra, and Pinki Roy, Automatic Diabetes Prediction Using Tree Based Ensemble Learners. Proceedings of International Conference on Computational Intelligence and IoT (ICCIIoT), National Institute of Technology, Agartala [2018]
31. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Prakash Chauhan, Sequential Bidding Auction Mechanism for Spectrum Sharing in Cognitive Radio Networks. 11th IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS) . 10.1109/ANTS.2017.8384188 https://ieeexplore.ieee.org/document/8384188 [2017]
32. Munsifa Firdaus khan and Indrani Das, A study on QoS Aware Routing in Mobile Ad Hoc Network. 2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) Pageno: 95-98 https://ieeexplore.ieee.org/abstract/document/8284458 [2017]
33. Monisha Devi, Nityananda Sarma and Sanjib K. Deka, Allocation and Access Mechanisms for Spectrum Sharing in CRNs- A Brief Review. International Conference on Accessibility to Digital World (ICADW) . 10.1109/ICADW.2016.7942524 https://ieeexplore.ieee.org/document/7942524 [2016]
34. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Dynamic Virtual Backbone based Routing in Cognitive Radio Networks. 9th IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS) . 10.1109/ANTS.2015.7413663 https://ieeexplore.ieee.org/document/7413663 [2015]
35. Sujit Kumar Das, Dhar Sourish, Entity Recognition in the Bengali Language. International Symposium Advanced Computing and Communication ISSAC (IEEE), Silchar, Assam [2015]
Journal (45)
1. 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 https://www.mdpi.com/1999-5903/17/6/247 [2025]
2. 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 https://cyberleninka.ru/article/n/comprehensive-evaluation-and-performance-analysis-of-a-deep-learning-model-with-hyperparameter-tuning-for-lumpy-skin-disease [2025]
3. Soraisam Gobinkumar Singh, Dulumani Das, Utpal Barman, Hasan Huseynov, OPTIMIZED CNN-BASED APPROACH FOR ALZHEIMERâS DISEASE BY TACKLING CLASS IMBALANCE IN MRI CLASSIFICATION. Reliability: Theory & Applications . https://cyberleninka.ru/article/n/optimized-cnn-ba https://cyberleninka.ru/article/n/optimized-cnn-based-approach-for-alzheimer-s-disease-by-tackling-class-imbalance-in-mri-classification [2025]
4. 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 [2025]
5. 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 https://www.mdpi.com/2673-7094/5/3/65 [2025]
6. 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 https://link.springer.com/article/10.1186/s13064-025-00224-7 [2025]
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 https://www.sciencedirect.com/science/article/pii/S2772528625000640 [2025]
8. 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 https://link.springer.com/article/10.1186/s13635-024-00182-3#citeas [2024]
9. Soraisam Gobinkumar Singh, Dulumani Das, Utpal Barman, Manob Jyoti Saikia, Early Alzheimerâs 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 https://www.mdpi.com/2075-4418/14/16/1759 [2024]
10. 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 https://link.springer.com/article/10.1007/s11042-024-19950-x [2024]
11. 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 https://link.springer.com/article/10.1007/s00202-023-02184-9 [2024]
12. Prathana Saikia, Sanjib K. Deka, Monisha Devi, Security Enhanced Clustering Scheme for Routing in Cognitive Radio Sensor Networks. IEEE Access Vol. 12 Pageno: 141144 - 141166 . 10.1109/ACCESS.2024.3467704 https://ieeexplore.ieee.org/document/10693427 [2024]
13. Mazida A. Ahmed, Ridip Dev Choudhary, Shikhar Kr. Sharma, Khurshid A. Bor bora, Manash P. Bhutan and Utpal Barman, Hybrid deep Ensemble for Fine-Grained Race Estimation. Multimedia Tools and Applications . https://doi.org/10.1007/s11042-024-19950- https://link.springer.com/article/10.1007/s11042-024-19950-x [2024]
14. Kishore Kashyap, Shikhar Kumar Sarka and Mazida Akhtara Ahmed, Improving translation between English, Assamese bilingual pair with monolingual data, length penalty and model averaging. International Journal of Information Technology Vol. 16 Pageno: 1539â1549 . https://doi.org/10.1007/s41870-023-01714-9 [2024]
15. 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 https://www.mdpi.com/2077-0472/14/8/1262 [2024]
16. 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 https://www.benthamscience.com/article/140406 [2024]
17. 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 YÄąl University Journal of Agricultural Sciences Vol. 34 2 Pageno: 314-322 . https://doi.org/10.29133/yyutbd.1402821 https://dergipark.org.tr/en/pub/yyutbd/article/1402821 [2024]
18. 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 https://www.mdpi.com/1996-1073/17/11/2642 [2024]
19. 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 https://www.sciencedirect.com/science/article/pii/S2307187724000981 [2024]
20. 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 https://www.mdpi.com/2073-4395/14/2/327 [2024]
21. 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 https://link.springer.com/article/10.1007/s11042-023-14369-2 [2023]
22. 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 https://journals.ansfoundation.org/index.php/jans/article/view/4630 [2023]
23. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Single-Sided Truthful Auction Mechanism for Heterogeneous Channel Allocation in Cognitive Radio Networks. Wireless Networks, Springer Vol. 29 Pageno: 3445â3467 . https://doi.org/10.1007/s11276-023-03412-7 https://link.springer.com/article/10.1007/s11276-023-03412-7 [2023]
24. 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 https://sciresol.s3.us-east-2.amazonaws.com/IJST/Articles/2023/Issue-8/IJST-2022-2051.pdf [2023]
25. 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/ https://www.researchgate.net/profile/Utpal-Barman/publication/382060787_Enhancing_Monsoon_Rainfall_Forecasting_in_Assam_and_Meghalaya_A_Time_Series_Analysis/links/668aa034714e0b03154b9bbd/Enhancing-Monsoon-Rainfall-Forecasting-in-Assam-and-Meghalaya-A-Tim [2023]
26. 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 https://onlinelibrary.wiley.com/doi/abs/10.1002/tqem.22058 [2023]
27. 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 https://www.sciencedirect.com/science/article/pii/S1319157819313679 [2022]
28. 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 http://op.niscpr.res.in/index.php/JSIR/article/viewFile/53185/465481544 [2022]
29. 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 https://journals.ansfoundation.org/index.php/jans/article/view/3966 [2022]
30. 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 https://www.sciencedirect.com/science/article/pii/S2666285X21001035 [2022]
31. 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 https://journal.uob.edu.bh/handle/123456789/4680 [2022]
32. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, A Single-Channel Single-Winner Auction Model for Homogeneous Channel Allocation in CRNs. Physical Communication, Elsevier Vol. 55 . https://doi.org/10.1016/j.phycom.2022.101890 https://www.sciencedirect.com/science/article/abs/pii/S1874490722001677 [2022]
33. Mazida A. Ahmed, Ridip Dev Choudhury and Kishore Kashyap, Race estimation with deep networks. Journal of King Saud University - Computer and Information Sciences Vol. 34 7 Pageno: 4579-4591 . https://doi.org/10.1016/j.jksuci.2020.11.029 [2022]
34. 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 https://journals.ansfoundation.org/index.php/jans/article/view/2892 [2021]
35. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, A Double Auction Framework for Multi-Channel Multi-Winner Heterogeneous Spectrum Allocation in Cognitive Radio Networks. IEEE Access Vol. 9 Pageno: 72239 - 72258 . 10.1109/ACCESS.2021.3079260 https://ieeexplore.ieee.org/document/9427483 [2021]
36. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, A Centralized Model Enabling Channel Reuse for Spectrum Allocation in Cognitive Radio Networks. Cybernetics and Information Technology Vol. 21 Pageno: 183 - 200 . https://doi.org/10.2478/cait-2021-0026 https://sciendo.com/es/article/10.2478/cait-2021-0026 [2021]
37. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Multi-Winner Spectrum Allocation in Cognitive Radio Networks: A Single-Sided Auction Theoretic Modelling Approach with Sequential Bidding. Electronics Vol. 10 . https://doi.org/10.3390/electronics10050602 https://www.mdpi.com/2079-9292/10/5/602 [2021]
38. 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 https://www.sciencedirect.com/science/article/pii/S2214317318301239 [2020]
39. 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 https://www.sciencedirect.com/science/article/abs/pii/S0168169920302258 [2020]
40. Monisha Devi, Nityananda Sarma, Sanjib K. Deka, Deployment of Auction Theoretic Models for Spectrum Allocation in Cognitive Radio Networks. Journal of Computer Science Vol. 16 Pageno: 632-641 . https://doi.org/10.3844/jcssp.2020.632.641 [2020]
41. 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 https://jmcms.s3.amazonaws.com/wp-content/uploads/2019/04/24094517/19-Prediction-of-Soil-pH-using.pdf [2019]
42. 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/ https://journals.dbuniversity.ac.in/ojs/index.php/AJET/article/view/650 [2019]
43. Mazida Akhtara Ahmed, Ridip Dev Choudhury, Gender Classification from Facial Images. International Journal of Engineering and Advanced Technology (IJEAT) Vol. 9 1 Pageno: 6217-6224 . 10.35940/ijeat.A1874.109119 [2019]
44. Biplav Sarma and Anup Kumar Barman, A Comprehensive Survey of Noun Phrase Chunking in Natural Languages. International Journal of Engineering Research & Technology (IJERT) Vol. 4 4 ISBN: 2278-0181 . http://dx.doi.org/10.17577/IJERTV4IS040854 https://www.ijert.org/research/a-comprehensive-survey-of-noun-phrase-chunking-in-natural-languages-IJERTV4IS040854.pdf [2015]
45. Monisha Devi, Dipjyoti Deka, A Survey on Routing Protocols for Cognitive Radio Networks. International Journal of Engineering Research and Technology (IJERT) . 10.17577/IJERTV4IS041166 [2015]
Journal(Research) (31)
1. Aniruddha Deka, Debashis Dev Misra, Munsifa Firdaus Khan Barbhuyan, Mudassir Khan, Mostaque Md. Morshedur Hassan, Mohammed Ashfaq Hussain, An improved hybrid feature selection and classification framework for breast cancer detection using mammography images. Ain Shams Engineering Journal Vol. 16 1 Pageno: 103897 . https://doi.org/10.1016/j.asej.2025.103897 https://www.sciencedirect.com/science/article/pii/S2090447925006380 [2026]
2. Sujit Kumar Das, Nageswara Rao Moparthi, Suyel Namasudra, RubÊn GonzÃĄlez Crespo, David Taniar, A Smart Healthcare System Using Consumer Electronics and Federated Learning to Automatically Diagnose Diabetic Foot Ulcers. The International Journal of Interactive Multimedia and Artificial Intelligence Vol. 9 2 ISBN: 1989-1660 Pageno: 5-17 . 10.9781/ijimai.2024.10.04 https://www.ijimai.org/journal/bibcite/reference/3502 [2025]
3. Morshedur Hassan, Mostaque Md, Munsifa Firdaus Khan Barbhuyan, Mudassir Khan, Bayan Alabdullah, Md Faruqul Islam, Barga Mohammed Mujahid, CottonNet-MHA: A Model for Detecting Cotton Disease Based on Deep Learning. Frontiers in Plant Science Vol. 16 Pageno: 1664242 . https://doi.org/10.3389/fpls.2025.1664242 https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2025.1664242/full [2025]
4. R Sarma, S Moulik, e-SAFE: A secure and efficient access control scheme with attribute convergence and user revocation in fog enhanced IoT for E-Health. Journal of Information Security and Applications, Elsevier Vol. 85 Pageno: 103859, Impact factor: 3.8 https://www.sciencedirect.com/science/article/pii/S2214212624001613 [2024]
5. Sujit Kumar Das, Suyel Namasudra, Arun Kumar Sangaiah, HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds. Multimedia Systems Vol. 30 1 ISBN: 0942-4962 Pageno: 36 . 10.1007/s00530-023-01241-4 https://link.springer.com/article/10.1007/s00530-023-01241-4 [2024]
6. Sujit Kumar Das, S. Namasudra, A. Kumar, N. R. Moparthi, AESPNet: Attention Enhanced Stacked Parallel Network to improve automatic Diabetic Foot Ulcer identification. Image and Vision Computing Vol. 138 ISBN: 1872-8138 Pageno: 104809 . 10.1016/j.imavis.2023.104809 https://www.sciencedirect.com/science/article/abs/pii/S026288562300183X?via%3Dihub [2024]
7. Ali H. Wheeb and Munsifa Firdaus Khan, A Survey of Several Machine Learning (ML) Algorithms for Security Solutions in Internet of Things (IoT) Networks. Journal of Artificial Intelligence Research & Advances Vol. 12 1 Pageno: 10-21 https://journals.stmjournals.com/joaira/article=2024/view=191585/ [2024]
8. C K Chaudhary, R Sarma, F A Barbhuiya, RMA-CPABE: A multi-authority CPABE scheme with reduced ciphertext size for IoT devices. Future Generation Computer Systems, Elsevier Vol. 138 Pageno: 226-242, Impact factor: 6.8 https://www.sciencedirect.com/science/article/pii/S0167739X22002783 [2023]
9. P. Bhuyan, P.K. Singh, Sujit Kumar Das, A. Kalla, SE_SPNet: Rice Leaf Disease Prediction using Stacked Parallel Convolutional Neural Network with Squeeze-and- Excitation. Expert Systems Vol. 40 7 ISBN: 1468-0394 Pageno: e13304 . 10.1111/exsy.13304 https://onlinelibrary.wiley.com/doi/10.1111/exsy.13304 [2023]
10. P. Bhuyan, P.K. Singh, Sujit Kumar Das, Res4net-CBAM: a deep cnn with convolution block attention module for tea leaf disease diagnosis. Multimedia Tools and Applications Vol. 83 ISBN: 1573-7721 Pageno: 48925â48947 . 10.1007/s11042-023-17472-6 https://link.springer.com/article/10.1007/s11042-023-17472-6 [2023]
11. Munsifa Firdaus Khan, Indrani Das, Design and Analysis of a novel Rectangular-3D Position Allocator to improve QoS in MANET. Wireless Personal Communications Vol. 129 3 Pageno: 1513-1562 . https://doi.org/10.1007/s11277-023-10185-x https://link.springer.com/article/10.1007/s11277-023-10185-x [2023]
12. R Sarma, F A Barbhuiya, A secure and efficient access control scheme with attribute revocation and merging capabilities for fog-enabled IoT. Computers and Electrical Engineering, Elsevier Vol. 104 Pageno: 108449, Impact Factor: 4 https://www.sciencedirect.com/science/article/pii/S0045790622006644 [2022]
13. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, Achieving Highly Efficient Breast Ultrasound Tumor Classification with Deep Convolutional Neural Networks. International Journal of Information Technology Vol. 14 ISBN: 2511-2112 Pageno: 3311â3320 . 10.1007/s41870-022-00901-4 https://link.springer.com/article/10.1007/s41870-022-00901-4 [2022]
14. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, Feature fusion based machine learning pipeline to improve breast cancer prediction. Multimedia Tools and Applications Vol. 81 26 ISBN: 1573-7721 Pageno: 37627-37655 . 10.1007/s11042-022-13498-4 https://link.springer.com/article/10.1007/s11042-022-13498-4 [2022]
15. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, A Multi-Task Learning Based Approach for Efficient Breast Cancer Detection and Classification. Expert Systems Vol. 39 9 ISBN: 1468-0394 Pageno: e12713 . 10.1111/exsy.13047 https://onlinelibrary.wiley.com/doi/10.1111/exsy.13047 [2022]
16. Sujit Kumar Das, P.Roy, A.K. Mishra, Fusion of Handcrafted and Deep CNN Features for Effective Identification of Diabetic Foot Ulcer. Concurrency and Computation Practice and Experience Vol. 34 5 ISBN: 1532-0634 Pageno: e6690 . 10.1002/cpe.6690 https://onlinelibrary.wiley.com/doi/10.1002/cpe.6690 [2022]
17. Sujit Kumar Das, P.Roy, A.K. Mishra, DFU_SPNet: A stacked parallel convolution layers based CNN to improve Diabetic Foot Ulcer classification. ICT Express Vol. 8 2 ISBN: 2405-9595 Pageno: 271- 275 . 10.1016/j.icte.2021.08.02 https://www.sciencedirect.com/science/article/pii/S2405959521001120?via%3Dihub [2022]
18. Munsifa Khan, Indrani Das, CRITICAL ANALYSIS OF MODIFIED GAUSS MARKOV MOBILITY MODEL USING VARYING VALUES OF PARAMETERS TO CHECK THE IMPACT OF QOS IN MANET. Journal of Engineering Science and Technology Vol. 17 5 Pageno: 3393 - 3409 https://jestec.taylors.edu.my/Vol%2017%20Issue%205%20October%202022/17_5_26.pdf [2022]
19. R Sarma, C Kumar, F A Barbhuiya, PAC-FIT: An efficient privacy preserving access control scheme for fog-enabled IoT. Sustainable Computing: Informatics and Systems, Elsevier Vol. 30 Pageno: 100527, Impact Factor: 3.8 https://www.sciencedirect.com/science/article/pii/S2210537921000202 [2021]
20. R Sarma, C Kumar, F A Barbhuiya, MACFI: A multi-authority access control scheme with efficient ciphertext and secret key size for fog-enhanced IoT. Journal of Systems Architecture, Elsevier Vol. 123 Pageno: 102347, Impact Factor: 3.8 https://www.sciencedirect.com/science/article/pii/S1383762121002393 [2021]
21. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, CR-SSL: A Closely Related Self Supervised Learning Based Approach for Improving Breast Ultrasound Tumor Segmentation. International Journal of Imaging systems and Technology Vol. 32 4 ISBN: 1098-1098 Pageno: 1209-1220 . 10.1002/ima.22693 https://onlinelibrary.wiley.com/doi/10.1002/ima.22693 [2021]
22. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, Breast ultrasound tumour classification: A Machine LearningâRadiomics based approach. Expert Systems Vol. 38 7 ISBN: 1468-0394 Pageno: e12713 . 10.1111/exsy.12713 https://onlinelibrary.wiley.com/doi/10.1111/exsy.12713 [2021]
23. Sujit Kumar Das, P.Roy, A.K. Mishra, Oversample-Select-Tune: A Machine Learning Pipeline for Improving Diabetes Identification. Concurrency and Computation Practice and Experience Vol. 34 5 ISBN: 1532-0634 Pageno: e6741 . 10.1002/cpe.6741 https://onlinelibrary.wiley.com/doi/10.1002/cpe.6741 [2021]
24. Sujit Kumar Das, P.Roy, A.K. Mishra, Recognition of ischaemia and infection in diabetic foot ulcer: a deep convolutional neural network based approach. International Journal of Imaging systems and Technology Vol. 32 1 ISBN: 1098-1098 Pageno: 192- 208 . 10.1002/ima.22598 https://onlinelibrary.wiley.com/doi/epdf/10.1002/ima.22598 [2021]
25. A. K. Mishra*, Sujit Kumar Das*, P. Roy, S. Bandyopadhyay, Identifying COVID19 From Chest CT Images: A Deep Convolutional Neural Networks Based Approach. Journal of Healthcare Engineering Vol. 2020 NA ISBN: 2040-2309 Pageno: 1-7 . 10.1155/2020/8843664 https://onlinelibrary.wiley.com/doi/10.1155/2020/8843664 [2020]
26. Munsifa Firdaus Khan and Indrani Das, Performance evaluation of routing protocols in NS-2 and NS-3 simulators. Int. J. Adv. Trends Comput. Sci. Eng. WARSE Vol. 9 Pageno: 6509-6517 . https://doi.org/10.30534/ijatcse/2020/338942020 https://www.warse.org/IJATCSE/static/pdf/file/ijatcse338942020.pdf [2020]
27. Munsifa Firdaus Khan, Indrani Das, Implementation of random direction-3D mobility model to achieve better QoS support in MANET. International Journal of Advanced Computer Science and Applications Vol. 11 10 Pageno: 195-203 https://d1wqtxts1xzle7.cloudfront.net/71676474/Paper_26-Implementation_of_Random_Direction-libre.pdf?1633586174=&response-content-disposition=inline%3B+filename%3DImplementation_of_Random_Direction_3D_Mo.pdf&Expires=1758713156&Signature=Q0nLyB9aR4XhqvIYO5 [2020]
28. Munsifa Firdaus Khan, Indrani Das, Effect of Different Propagation Models in Routing Protocols. International Journal of Engineering and Advanced Technology (IJEAT) Vol. 9 2 Pageno: 3975-3980 . 10.35940/ijeat.B4524.129219 https://www.researchgate.net/profile/Munsifa-Khan-Barbhuyan/publication/338621891_EFFECT_OF_DIFFERENT_PROPAGATION_MODELS_IN_ROUTING_PROTOCOLS/links/61d40aa9b6b5667157c5bd37/Effect-of-Different-Propagation-Models-in-Routing-Protocols.pdf [2019]
29. R Sarma, B Bhuyan, Security of E-Voting System in Case of Malicious Users. International Journal of Computer Applications Vol. 122 [2015]
Journal(Review) (1)
1. Sujit Kumar Das et. al, Diabetic Foot Ulcer Identification: A Review. Diagnostics Vol. 13 12 ISBN: 2075-4418 Pageno: 1998 . 10.3390/diagnostics13121998 https://www.mdpi.com/2075-4418/13/12/1998 [2023]