Journals (SCI & SCIE )

2024

• Dewangan, K. P., Bonde, P., Raja, R., & Chatterjee, J. M. (2024). An efficient node localization and failure node detection in the MANET environment. Telecommunication Systems, 1-17. (Access Link)

• Sagu, A., Gill, N. S., Gulia, P., Priyadarshini, I., & Chatterjee, J. M. (2024). Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems. IEEE Transactions on Big Data. (Access Link)

• Gupta, C., Gill, N.S., Gulia, P., Yadav, S., Chatterjee, J.M.(2024). A novel finetuned YOLOv8 model for real-time underwater trash detection. J Real-Time Image Proc 21, 48. (Access Link)

• Prabha, V. D., Rathipriya, R., & Chatterjee, J. M. (2024). Cancer data analysis using competitive ensemble machine learning techniques. Health and Technology, 1-12. (Access Link)

2023

• Lakshmi, M. L. S. N. S., Prasad Jones Christydass, S., Kannadhasan, S., Anguraj, K., & Chatterjee, J. M. (2023). Polarization Stable Triband Thin Square-Shaped Metamaterial Absorber. International Journal of Antennas and Propagation, 2023. (Access Link)

• Gupta, C., Gill, N. S., Gulia, P., & Chatterjee, J. M. (2023). A novel finetuned YOLOv6 transfer learning model for real-time object detection. Journal of Real-Time Image Processing, 20(3), 42. (Access link)

• Sujatha, R., Mahalakshmi, K., & Chatterjee, J. M. (2023). Implementing deep‐learning techniques for accurate fruit disease identification. Plant Pathology, 72(9), 1726-1734. (Access link)

• Senthilkumar, S., Brindha, K., Chatterjee, J. M., Popat, A., Gupta, L., & Verma, A. (2023). An optimized handwritten polynomial equations solver using an enhanced inception V4 model. Multimedia Tools and Applications, 1-20. (Access link) 

2022

• Ratra, R., Gulia, P., Gill, N. S., & Chatterjee, J. M. (2022). Big Data Privacy Preservation Using Principal Component Analysis and Random Projection in Healthcare. Mathematical Problems in Engineering, 2022. (Access Link) 

• Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, Jyotir Moy Chatterjee, "Performance Analysis of an Optimized ANN Model to Predict the Stability of Smart Grid", Complexity, vol. 2022, Article ID 7319010, 13 pages, 2022. (Access Link)

• Sujatha, R., Chatterjee, J.M., Priyadarshini, I., Hassanien A.E., Mousa, A. A. A., Alghamdi, S M. Self-organizing Maps and Bayesian Regularized Neural Network for Analyzing Gasoline and Diesel Price Drifts. Int J Comput Intell Syst 15, 6 (2022). (Access Link)

• R. Sujatha, Jyotir Moy Chatterjee, NZ Jhanjhi, Thamer A. Tabbakh, and Zahrah A. Almusaylim. (2022). Heart Failure Patient Survival Analysis with Multi Kernel Support Vector Machine. Intelligent Automation & Soft Computing. (Access Link)

• R. Sujatha, B. Venkata Siva Krishna, Jyotir Moy Chatterjee, P. Rahul Naidu, NZ Jhanjhi, Challa Charita, Eza Nerin Mariya, Mohammed Baz. (2022). Prediction of Suitable Candidates for COVID-19 Vaccination. Intelligent Automation & Soft Computing. (Access Link)

• Sujatha, R., Chatterjee, J. M., Angelopoulou, A., Kapetanios, E., Srinivasu, P. N., & Hemanth, D. J. (2022, October 14). A transfer learning‐based system for grading breast invasive ductal carcinoma. IET Image Processing. (Access Link)

• Muthamilselvan, T., Brindha, K., Senthilkumar, S., Chatterjee, J. M., & Hu, Y. C. (2022). Optimized face-emotion learning using convolutional neural network and binary whale optimization. Multimedia Tools and Applications, 1-24. (Access Link)

2021

• Ishaani Priyadarshini, Jyotir Moy Chatterjee, R. Sujatha, Nz Jhanjhi, Ali Karime & Mehedi Masud (2021) Exploring Internet Meme Activity during COVID-19 Lockdown Using Artificial Intelligence Techniques, Applied Artificial Intelligence. (Access Link) 

• Hameed AlQAHERI, R. SUJATHA, Jyotir Moy CHATTERJEE, Sridharan SHOORIYA, Sai Aswin KUMAR J., Neha SATISH, Toward an Autonomous Incubation System for Monitoring Premature Infants, Studies in Informatics and Control, ISSN 1220-1766, vol. 30(4), pp. 121-131, 2021. (Access Link)

• Khairandish, M. O., Sharma, M., Jain, V., Chatterjee, J. M., & Jhanjhi, N. Z. (2021). A Hybrid CNN-SVM Threshold Segmentation Approach for Tumor Detection and Classification of MRI Brain Images. IRBM. (Access Link)

• Sujatha, R., Mareeswari, V., Chatterjee, J. M., Mousa, Abd Allah A., Hassanien, Aboul Ella. (2020). A Bayesian Regularized Neural Network for Analyzing Bitcoin Trends. IEEE Access. (Access Link)

• Rathore, P. S., Chatterjee, J. M., Kumar, A., & Sujatha, R. Energy-efficient cluster head selection through relay approach for WSN. The Journal of Supercomputing, 1-27. (Access Link)

• Radhakrishnan, S., Chatterjee, J. M., Jhanjhi, NZ, Brohi, Sarfraz Nawaz. (2020). Performance of Deep Learning vs Machine Learning in Plant Leaf Disease Detection. Microprocessors and Microsystems Volume 80, 2021,103615. (Access Link)

2020

• Radhakrishnan, S., Lakshminarayanan, A. S., Chatterjee, J. M., & Hemanth, D. J. (2020). Forest data visualization and land mapping using support vector machines and decision trees. Earth Science Informatics, 1-19. (Access Link) 

• Dhamodharavadhan S, Rathipriya R, and Jyotir M. Chatterjee. (2020). COVID-19 Mortality Prediction for India using Statistical Neural Network Models. Frontiers in Public Health,8. (Access Link)

• Iwendi, C., Bashir, A.K., Peshkar, A., Sujatha, R., Chatterjee, J.M., Pasupuleti, S., Mishra, R., Pillai, S., and Jo, O. (2020). COVID-19 Patient health prediction using boosted random forest algorithm. Frontiers in public health, 8, 357. (Access Link)

• Sujath, R., Chatterjee, J. M., & Hassanien, A. E. (2020). A machine learning forecasting model for COVID-19 pandemic in India. Stochastic Environmental Research and Risk Assessment, 1. (Access Link)

2019

• Vu Viet Nguyen, Binh Thai Pham, Ba Thao Vu, Indra Prakash, Sudan Jha, Himan Shahabi, Ataollah Shirzadi, Dong Ba Nguyen, Raghvendra Kumar
  Agrawal, Jyotir Moy Chatterjee, Dieu Tien Bui. (2019). Hybrid Machine Learning Approaches for Landslide Spatial Prediction. Forests 10(2), 157. (Access Link)

• Pham Hai Son, Le Hoang Son, Sudan Jha, Raghvendra Kumar, Jyotir Moy Chatterjee (2019), “Governing Mobile Virtual Network Operators in Developing Countries”, Utilities Policy, 56, pp. 169 - 180 (Access Link).

• Le Hoang Son, Sudan Jha, Raghvendra Kumar, Jyotir Moy Chatterjee, Manju Khari (2019), “Collaborative handshaking approaches between Internet of Computing and Internet of Things towards a Smart World: A review from 2009 – 2017”, Telecommunication Systems (Access Link).

2018

• Le Hoang Son, Francisco Chiclana, Raghavendra Kumar, Mamta Mittal, Manju Khari, Jyotir Moy Chatterjee, Sung Wook Baik (2018), “ARM-AMO: An Efficient Association Rule Mining Algorithm Based on Animal Migration Optimization”, Knowledge-Based Systems (Access Link).

Journals (SCOPUS)

2022

• Ephzibah, E.P., Sujatha, R., and Chatterjee, J.M. (2022) ‘An adaptive neuro-fuzzy inference for blockchain-based smart job recommendation system’, Int. J. Information and Decision Sciences, Vol. 14, No. 1, pp.1–14.

• R. Sujatha, Jyotir Moy Chatterjee, S. S. Thorunitha, Nadhiya S. (2022). Evaluation of Dietary Habits in Relation to Covid-19 Mortality Rate Using Machine Learning Techniques. Journal of System and Management Sciences (JSMS), 12(2), pp.174-194.

• Sagu, A., Gill, N.S., Gulia, P., Chatterjee, J.M., Priyadarshini, I. A Hybrid Deep Learning Model with Self-Improved Optimization Algorithm for Detection of Security Attacks in IoT Environment. Future Internet 2022, 14, 301.(Access Link)

• Khatri, A., Agrawal, S., & Chatterjee, J. M. (2022). Wheat Seed Classification: Utilizing Ensemble Machine Learning Approach. Scientific Programming, 2022.

• Yadav, S., Gulia, P., Gill, N. S., & Chatterjee, J. M. (2022). A Real-Time Crowd Monitoring and Management System for Social Distance Classification and Healthcare Using Deep Learning. Journal of Healthcare Engineering, 2022.

• Saravagi, D., Agrawal, S., Saravagi, M., Chatterjee, J. M., & Agarwal, M. (2022). Diagnosis of Lumbar Spondylolisthesis Using Optimized pretrained CNN Models. Computational Intelligence and Neuroscience, 2022. 

• Rani, D., Gill, N. S., Gulia, P., & Chatterjee, J. M. (2022). An Ensemble-Based Multiclass Classifier for Intrusion Detection Using Internet of Things. Computational Intelligence and Neuroscience, 2022.(Access Link)

• Ratra, R., Gulia, P., Gill, N. S., & Chatterjee, J. M. (2022). Big Data Privacy Preservation Using Principal Component Analysis and Random Projection in Healthcare. Mathematical Problems in Engineering, 2022.(Access Link)

2020

• R. Sujatha, Aakarsh Teja, Podapati Naveen, Jyotir Moy Chatterjee, Aarthy SL, Aboul Ella Hassanien. (2020). Web Application for Traffic Monitoring and Guidance. Journal of System and Management Sciences (JSMS), 10(4), pp.1-14. (Access Link)

• Sujatha R, Aarthy SL, Jyotir Moy Chatterjee, A. Alaboudi, NZ Jhanjhi. (2020). A Machine Learning Way to Classify Autism Spectrum Disorder. International Journal of Emerging Technologies in Learning (iJET), 16(6) . (Access Link)

• Swain, Munmun, Kisan, Sumitra, Chatterjee, Jyotir Moy, Supramaniam Mahadevan, Mohanty, Sachi Nandan, Jhanjhi, NZ, Abdullah, Azween. (2020). Hybridized Machine Learning based Fractal Analysis Techniques for Breast Cancer Classification. International Journal of Advanced Computer Science and Applications (IJACSA), 11(10), pp. 1-7. (Access Link)

• Pattnaik, C. R., Mohanty, S. N., Mohanty, S., Chatterjee, J. M., Jana, B., & Diaz, V. G. (2020). A fuzzy multi-criteria decision-making method for purchasing life insurance in India. Bulletin of Electrical Engineering and Informatics, 10(1), 344-356. (Access Link).

• E. P. Ephzibah, R. Sujatha, Jyotir Moy Chatterjee (2020). An Adaptive Neuro-Fuzzy Inference for Blockchain-based Smart Job Recommendation system. International Journal of Information and Decision Sciences, Vol. 14, No. 1, pp.1–14. (Access Link).

• Kumar, A., Chatterjee, J. M., & Díaz, V. G. (2020). A novel hybrid approach of SVM combined with NLP and probabilistic neural network for email phishing. International Journal of Electrical & Computer Engineering (2088-8708), 10. (Access Link).

2019

• Jha, S., Kumar, R., Chatterjee, J. M., Khari, M., Yadav, N., & Smarandache, F. (2019). Neutrosophic soft set decision making for stock trending analysis. Evolving Systems, 10(4), 621-627. (Access Link). 

2018

• Jyotir Moy Chatterjee, Le Hoang Son, Srijani Ghatak, Raghvendra Kumar, Manju Khari (2018), “BitCoin Exclusively Informational Money: A Valuable Review from 2010 to 2017”, Quality & Quantity, pp.1-18. (Access Link)

Journals (Others)

2024

• Yogi, M. K., Aiswarya, D., & Chatterjee, J. M. (2024). Application of Game Theoretic Model for Cyber Threat Intelligence Framework. (Access Link)

2021

• Shakya, V., Chatterjee, J. M., & Thakur, R. N. (2021). Network Security and Its Impact on Business Strategy: A Case Study on E-Commerce Site Daraz. Com. Network Security, 3(1). 

• Timsina, A., & Chatterjee, J. M. (2021). TECHNICAL CHALLENGES WITH ADOPTION OF IOT IN IMPLEMENTATION OF SMART CITIES IN NEPAL. cities, 3(1). 

• Manandhar, B., & Chatterjee, J. M. The Impacts of Information System on Supply Chain Management on Selected Cement Companies of Nepal. 

2020

• Aryal, B., & Chatterjee, J. M. (2019). Scope & Challenges of Mobile Number Portability in Nepal'. unpublished work, Asia Paciffic University.

• Sujatha, R., Chatterjee, J., & Hassanien, A. ella. (2020). A machine learning methodology for forecasting of the COVID-19 cases in India. doi: 10.36227/techrxiv.12143685.v1

• Chataut A, Chatterjee J. M, Rouniyar R. S. DEPRESSIKA: An Early Risk of Depression Detection through Opinions. Orient.J. Comp. Sci. and Technol;13(1).

• Rouniyar, Rabi & Chatterjee, J. M. A Framework for Implementation Challenges in Bigdata Enabled Smart Health Monitoring System-A Study Focused in Nepal Context.

2019 

• Giri S, Thakur R. N, Chatterjee J. M. QoS Priorities in ERP Implementation – A Study of Manufacturing Industry of Nepal. Orient. J. Comp. Sci. and Technol; 12(4).

• Buddhacarya, K., & Chatterjee, J. M. E-Governance in Nepal: The Challenges in The Implementation of The National Identity Card in Nepal.

• Maharjan, R., & Chatterjee, J. M. Adoption and Impacts of Robots in Service Sectors of Nepal.

• Sah, U. K., & Chatterjee, J. M. PLANTRECOG-An Approach of Automatic Plant Species Recognition by Leaf Using Convolution Neural Network (CNN).

• Shrestha, Ranjit & Chatterjee, J. M. Heart Disease Prediction System Using Machine Learning.

• Maharjan, R., & Chatterjee, J. M. Framework for Minimizing Cyber Security Issues in Banking Sector of Nepal.

• Dongol, R., & Chatterjee, J. M. Robust Security Framework for Mitigating Cyber Threats in Banking Payment System: A Study of Nepal.

• Abhishek Kumar, Jyotir Moy Chatterjee, Pramod Rathore (2019). Smartphone confrontational applications and security issues. International Journal of Risk and Contingency Management (IJRCM) 9(2).

• Aakanksha Jain, Abhishek Kumar, Jyotir Moy Chatterjee, Pramod Rathore (2019). An Assessment of Classification with Hybrid Methodology for Neural Network Classifier against different classifier. International Journal of Collaborative Intelligence (IJCI).

• Yadav, M., & Chatterjee, J. M. (2018). Study of Privacy Issues in Internet of Things. Global Journal on Application of Data Science and Internet of Things [ISSN: 2581-4370 (online)], 2(2). • Chatterjee, J. M. (2018). Bioinformatics Using Machine Learning. Global Journal of Internet Interventions and IT Fusion, 1(1).

• Chatterjee, J. M. (2018). Bioinformatics Using Machine Learning. Global Journal of Internet Interventions and IT Fusion, 1(1).

2018

• Chatterjee, J.M., Kumar, R., Pattnaik, P.K., Solanki, V.K., & Zaman, N. (2018). Privacy preservation in data intensive environment, Tourism & Management Studies, 14(2), 72-79 (SCIELO-Portugal).

• Acharya, B., Jena, A. K., Chatterjee, J. M., Kumar, R., & Le, D. N. (2019). NoSQL Database Classification: New Era of Databases for Big Data. International Journal of Knowledge-Based Organizations (IJKBO), 9(1), 50-65. (ACM DL).

• Chatterjee, J. M., Kumar, R., Khari, M., Hung, D. T., & Le, D. N. (2018). Internet of Things based system for Smart Kitchen.

• Govind Narayan, Jyotir Moy Chatterjee, "Intrusion Detection Based on Anamoly Using Artificial Neural Network ", Volume 6, Issue VI, International Journal for Research in Applied Science and Engineering Technology (IJRASET) Page No:11-14, ISSN: 2321-9653.

• Govind Narayan, Jyotir Moy Chatterjee, "A Review on Intrusion Detection System and Various Attacks on Network", Volume 6, Issue VI, International Journal for Research in Applied Science and Engineering Technology (IJRASET) Page No:46-50, ISSN: 2321-9653.

• Chatterjee, Jyotir Moy, “IoT with Big Data Framework using Machine Learning Approach”, International Journal of Machine Learning and Networked Collaborative Engineering, Vol. 02 No. 02, 2018, pp. 073–082.

• Raghvendra Kumar, Dac-Nhuong Le, Jyotir Moy Chatterjee, “Validation Lamina for maintaining confidentiality within the Hadoop”, in International Journal of Information Engineering and Electronic Business, Vol-10(2), pp.42-50, Mar 2018.

• Shrinkhala Shinghai and Jyotir Moy Chatterjee “Quantum Computing: The Future of Computing”, in International Journal of Engineering Research & Technology (NCANA-2018), Volume-6, Issue-01, January 2018, pp.01-04.

• Somesh Kumar Dewangan and Jyotir Moy Chatterjee “Nanotechnology: A Revolution in Technology”, in International Journal of Engineering Research & Technology (NCANA-2018), Volume-6, Issue-01, January 2018, pp.33-35.

2017

• Jyotir Moy Chatterjee “Fog Computing: Beginning of a New Era in Cloud Computing”, in International Research Journal of Engineering & Technology, Volume-4, Issue-05, May 2017, pp. 735-740.

• Jyotir Moy Chatterjee “Privacy Preservation in Data Centric Environment: Analysis and Segregation”, in International Journal of Engineering Research & Technology, Volume-6, Issue-05, May 2017, pp.56-62.

• Manju Khari, Raghvendra Kumar, Dac-Nhuong Le, Jyotir Moy Chatterjee, “Interconnect Network on Chip Topology in Multi-Core Processors: A Comparative Study”, in International Journal of Computer Network and Information Security, Vol-9(11), pp.52-62, Nov 2017.

• Jyotir Moy Chatterjee, Somesh Dewangan, "Nanocomputing & Its Future Trends", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 1-2, Nov-2017.

• Pranali Foley, Jyotir Moy Chatterjee, "Association Rule Mining using Negative Association Rule Mining (NARM)", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 3-6, Nov-2017.

• Somesh Kumar Dewangan, Jyotir Moy Chatterjee, Pintu Sahu, "A Study of Web Based Blood Donation System", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 20-21, Nov-2017.

• Somesh Dewangan, Shivendra Shivani, Lokesh Singh, Siddharth Choubey, Jyotir Moy Chatterjee, "Using Strength Factors Fingerprint Verification based Ridges", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 22-27, Nov-2017.

• Jyotir Moy Chatterjee, Somesh Dewangan, "Bio Computers - Trends & Applications", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 28-32, Nov-2017.

• Somesh Kumar Dewangan, Jyotir Moy Chatterjee, Srijani Ghatak, "To Study on Remotely Sensed Image Intelligent Interpreation", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 42-44, Nov-2017.

• Somesh Kumar Dewangan, Siddharth Choubey, Jyotir Moy Chatterjee, Shajid Ansari, "A Survey on Remote Sensing Network", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 45-47, Nov-2017.

• Aarti Prajapati, Arpita Sen, Roshni Meravi, Jyotir Moy Chatterjee, "Green Computing: Trends and Applications", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 48-50, Nov-2017.

• Srijani Ghatak, Jyotir Moy Chatterjee, Ritesh Kumar Ram, Somesh Dewangan,"A scrutinized Study on Robotics Mechanism & Capability Evaluation", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 60-62, Nov-2017.

• Somesh Kumar Dewangan, Jyotir Moy Chatterjee, "A Study Report on Image Segmentation Techniques", International Journal of Advance Computational Engineering and Networking (IJACEN), Volume-5, Issue-11, pp 71-75, Nov-2017.

• Gagandeep Kaur and Jyotirmoy Chhaterji, “Study of Techniques used for Medical Image Segmentation”, in International Journal of Informative & Futuristic Research, Vol.5(1), pp.8701-8709.

• Gagandeep Kaur and Jyotirmoy Chhaterji “A survey on Medical Image Segmentation”, in International Journal of Science & Research, Volume-6, Issue-05, May 2017, pp.1305-1311.

• Shrinkhala Singhai, Nagma Afroz, Jyotir Moy Chatterjee, “Fog Computing-The Beginning of a New Era” in International Seminar on Utilization of Non-Conventional Energy Sources for Sustainable Development of Rural Areas.

Conferences

2023

• Choudhuri, A., Sujatha, R., Nitin, C. S., Chatterjee, J. M., & Thakur, R. N. (2023). Prediction and Analysis of Air Quality Index Using Machine Learning Algorithms. In Machine Learning in Information and Communication Technology (pp. 281-293). Springer, Singapore.

• Trivedi, R. B., Mittal, D., Sahani, A., Fernandes, C. V., Goyal, S., Chatterjee, J. M., & Mehta, V. (2023, February). Predicting the Tomato Plant Disease Using Deep Learning Techniques. In Intelligent Data Engineering and Analytics: Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022) (pp. 567-575). Singapore: Springer Nature Singapore.

• Sujatha, R., Chatterjee, J. M., Rohith, A., & Ramadan, R. A. (2023, February). A Sequential-based Deep Learning Model for Dry Beans Classification. In 2023 International Conference on Smart Computing and Application (ICSCA) (pp. 1-7). IEEE.

2021

• Topno, P. R., Ephzibah, E. P., Sujatha, R., Chatterjee, J. M., & Hassanien, A. E. (2021, December). Deep Learning-Based Image Captioning Used to Recognize Malicious or Emergency Activity in an Image. In International Conference on Advanced Intelligent Systems and Informatics (pp. 19-29). Springer, Cham. (Access Link)

• Pandey, A. K., Janghel, R. R., Kumar, S. S., Kumar, T. S., & Moy, J. (2021, January). CoronaGo Website Integrated with Chatbot for COVID-19 Tracking. In CEUR Workshop Proceedings (Vol. 2786). (Access Link)

2020

• Kumar A., Chatterjee J.M., Choudhuri A., Rathore P.S. (2020) A Collaborative Method for Minimizing Tampering of Image with Commuted Concept of Frazile Watermarking. In: Smys S., Iliyasu A.M., Bestak R., Shi F. (eds) New Trends in Computational Vision and Bio-inspired Computing. ICCVBIC 2018. Springer, Cham. (Access Link)

2018

• S. Garg, J. MoyChatterjee and R. Kumar Agrawal, "Design of a Simple Gas Knob: An Application of IoT," 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE-IEEE), San Salvador, El Salvador, 2018, pp. 1-3 (Access Link).

Books (Authored)

2019

• Dac-Nhuong Le, Abhishek Kumar Pandey, T.V.M. Sairam, Pramod Singh Rathore, Jyotir Moy Chatterjee, “Network Modeling, Simulation and Analysis in MATLAB: Theory and Practices”, Scrivener Publishing, Wiley, USA. ISBN: 978-1-119-63143-9. 376 Pages. (Access Link)

2018

• Dac-Nhuong Le, Raghvendra Kumar, Nguyen Gia Nhu and Jyotir Moy Chatterjee, (2018), Cloud Computing Virtualization, Scrivener Publishing, Wiley, USA. ISBN: 978-1-119-48790-6. 250 pages. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119488149

• Le, D. N., Kumar, R., & Chatterjee, J. M. (2018). Introductory Concepts of Wireless Sensor Network. Theory and Applications. GRIN Verlag. https://www.grin.com/document/385908

Thesis Converted into Books 

2020

• Poshan Prasad Thakur & Jyotir Moy Chatterjee, “Disruption and Opportunities for using Blockchain in banking sector: Blockchain in banking sector of Nepal”, LAP LAMBERT Academic Publishing, Italy. ISBN: 978-613-9-92828-6. 84 Pages. (Access Link)

• Jyotir Chatterjee, Shrijana Basnet, R. N. Thakur (2019), Technical Challenges and Future Scope of Smart Traffic Management System Adoption in Kathmandu, Nepal, Munich, GRIN Verlag. (Access Link)

Edited Books 

2024

• Kannadhasan, S., Nagarajan, R., Shanmugasundaram, N., Chatterjee, J. M., & Ashok, P. (Eds.). (2024). Intelligent Technologies for Automated Electronic Systems. Bentham Science Publishers.

2023

• Chatterjee, J. M., Garg, H., & Thakur, R. N. (Eds.). (2023). A Roadmap for Enabling Industry 4.0 by Artificial Intelligence. John Wiley & Sons.

• Garg, Harish & Chatterjee, Jyotir (2023). Deep Learning in Personalized Healthcare and Decision Support. Elsevier. 

• Nand, P., Jain, V., Le, D. N., Chatterjee, J. M., Kannan, R., & Verma, A. S. (Eds.). (2023). Deep Learning for Healthcare Services IoT and Big Data Analytics. Bentham Science Publishers.

• Chatterjee, J. M., & Saxena, S. K. (Eds.). (2023). Artificial Intelligence in Medical Virology. Springer Nature.

• Jain, V., Chatterjee, J. M., Priyadarshini, I., & Al-Turjman, F. (Eds.). (2023). Deep Learning for Healthcare Decision Making. CRC Press.

2022

• Hassanien, A. E., Chatterjee, J. M., & Jain, V. (2022). Artificial Intelligence and Industry 4.0. Elsevier Gezondheidszorg. (Access Link)

• Jain, V., Chatterjee, J. M., Kumar, P., & Kose, U. (Eds.). (2022). Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications. IET.

• Kumar, V., Jain, V., Sharma, B., Chatterjee, J. M., & Shrestha, R. (Eds.). (2022). Smart City Infrastructure: The Blockchain Perspective. John Wiley & Sons.

• Vishal Jain, Jyotir Moy Chatterjee, Ankita Bansal, Utku Kose, Abha Jain, “Computational Intelligence in Software Modeling”, ISBN: 9783110705430, 216 pages. (Access Link)

2021

• Mohanty, S. N. (2021). Applications of Artificial Intelligence in COVID-19. S. K. Saxena, S. Satpathy, & J. M. Chatterjee (Eds.). Springer.

• Jain, V., & Kumar, A. (2020). Internet of Things and Machine Learning in Agriculture. J. M. Chatterjee (Ed.). Nova Science Publishers.

• Uzzal Sharma, Parma Nand, Jyotir Moy Chatterjee, Vishal Jain, Noor Zaman Jhanjhi, R. Sujatha, “Cyber-Physical System: Emerging Technologies and Applications", ISBN: 978-1-119-83619-3, 350 pages. (Access Link)

• Jain, V., Chatterjee, J. M., Hedayati, H., Krit, S., & Deperlioglu, O. (Eds.). (2021). Deep Learning for Personalised Healthcare Services. De Gruyter.

• Mohanty, S. N., Chatterjee, J. M., & Satpathy, S. (Eds.). (2022). Internet of Things and Its Applications. Springer.

• Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri, “Machine Learning Approach for Cloud Data Analytics in IoT”, Wiley, ISBN: 978-1-119-78580-4, 528 pages. (Access Link)

• Vishal Jain, Jyotir Moy Chatterjee, Ankita Bansal, Abha Jain,” Semantic Web for Effective Healthcare Systems”, Wiley, ISBN: 978-1-119-76229-4, 350 pages. (Access Link)

• Gurinder Singh, Vishal Jain, Jyotir Moy Chatterjee, Loveleen Gaur, “Cloud and IoT-Based Vehicular Ad Hoc Networks”, Wiley, ISBN: 978-1-119-76182-2, 432 pages. (Access Link)

• Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar Pandey, Pramod Singh Rathore, “Internet of Things and Machine Learning in Agriculture Technological Impacts and Challenges”, De Gruyter Frontiers in Computational Intelligence, 8. (Access Link)

2020

• Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar Pandey, Pramod Singh Rathore, Dac-Nhuong Le “Machine Learning for Healthcare: Handling and Managing Data”, CRC Press (Taylor & Francis Group). (Access link)

• Pethuru Raj, Jyotir Moy Chatterjee, Abhishek Kumar, B. Balamurugan, “Internet of Things Use Cases for the Healthcare Industry”, Springer Nature Switzerland, ISBN: 978-3-030-37525-6, 280 pages, doi: 10.1007/978-3-030-37526-3. (Access Link)

• Vishal Jain, Jyotir Moy Chatterjee, “Machine Learning with Healthcare Perspective”, Springer Nature Switzerland, ISBN: 978-3-030-40849-7, 401 pages, doi: 10.1007/978-3-030-40850-3. (Access Link)

• Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Rathore, “Blockchain Technology in Business and Healthcare: Opportunities and Innovation” Apple Academic Press (CRC Press), Taylor & Francis Group. ISBN- 9781771888998, 250 pages. (Access Link)

• Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Sarika Jain, Ahmed A. Elnger, Priya Gupta, “Recommender System with Machine Learning & Artificial Intelligence: Practical Tools & Applications in Medical & Agricultural Domain”, Scrivener Publishing, Wiley, USA. (Access Link) 

• Vishal Jain, Ritika Wason, Jyotir Moy Chatterjee, Dac-Nhuong Le, “Ontology-Based Information Retrieval for Health Care Systems”, Scrivener Publishing, Wiley, USA. (Access Link)

2019

• Pramod Rathore, Jyotir Moy Chatterjee, Rashmi Agrawal, Abhishek Kumar, “Innovation, Opportunities and Challenges in Applied Artificial Intelligence, Data Science & Machine Learning, Eureka Publication - Pune; First Edition (2019). ISBN: 978-8194050209. (Access Link)

• Dac-Nhuong Le, Raghvendra Kumar, Brojo Kishore Mishra, Manju Khari and Jyotir Moy Chatterjee, “Cyber Security in Parallel and Distributed Computing: Concept, Techniques, Applications and Case studies”, Scrivener Publishing, Wiley, USA. ISBN: 978-1-119-48805-7. 294 pages. (Access Link)

Book Chapters

2023

• Palak, Sangeeta, Gulia, P., Gill, N. S., & Chatterjee, J. M. (2023). Metaverse and Its Impact on Climate Change. In The Future of Metaverse in the Virtual Era and Physical World (pp. 211-222). Cham: Springer International Publishing.

• Sujatha, R., & Chatterjee, J. M. (2023). Deep convolution classification model-based COVID-19 chest CT image classification. In Deep Learning in Personalized Healthcare and Decision Support (pp. 343-356). Academic Press. 

• Mundru, Y., Yogi, M. K., Chatterjee, J. M., Meduri, M., & Chaitanya, K. D. V. (2023). Development of a no-regret deep learning framework for efficient clinical decision-making. In Deep Learning in Personalized Healthcare and Decision Support (pp. 203-214). Academic Press.

• Mundru, Y., Yogi, M. K., & Chatterjee, J. M. (2023). Application of Deep-Q learning in personalized health care Internet of Things ecosystem. In Deep Learning in Personalized Healthcare and Decision Support (pp. 39-47). Academic Press. 

2022

• Kulkarni, M. D., & Awate, A. S. (2022). M-health: a revolution due to technology in healthcare sector. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 17.

• Yogi, M. K., Garikipati, J., & Chatterjee, J. M. (2022). Technological advancement with artificial intelligence in healthcare. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 311.

• Kaswan, K. S., Baliyan, A., Singh, J., Dhatterwal, V. J., & Chatterjee, J. M. (2022). Intelligent classification of ECG signals using machine learning techniques. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 257.

• Kumar, A., Chatterjee, J. M., Payal, Manju, Rathore, P. S. (2022). Revolutionizing the Internet of Things with swarm intelligence. System Assurances. https://doi.org/10.1016/B978-0-323-90240-3.00023-0

• Seth, R., Sharaff, A., Chatterjee, J. M., & Jhanjhi, N. Z. (2022). Ransomware Attack: Threats & Different Detection Technique. In Information Security Handbook (pp. 157-176). CRC Press.

• Sujatha, R., Gitanjali, J., Kumar, R. P., Ali, M., Pathy, B., & Chatterjee, J. M. (2022). Automatic Street Light Control Based on Pedestrian and Automobile Detection. In Information Security Handbook (pp. 201-212). CRC Press.

2021

• Sujatha, R., & Chatterjee, J. M. (2021). Role of Artificial Intelligence in COVID-19 Prediction Based on Statistical Methods. In Applications of Artificial Intelligence in COVID-19 (pp. 73-97). Springer, Singapore.

• Satpathy, S., Nandan Mohanty, S., Chatterjee, J. M., & Swain, A. (2021). Comprehensive Claims of AI for Healthcare Applications-Coherence Towards COVID-19. In Applications of Artificial Intelligence in COVID-19 (pp. 3-18). Springer, Singapore.

• Cengiz K., Ozyurt B., Singh K.K., Sharma R., Topac T., Chatterjee J.M. (2021) The Role of IoT and Narrow Band (NB)-IoT for Several Use Cases. In: Singh K.K., Nayyar A., Tanwar S., Abouhawwash M. (eds) Emergence of Cyber Physical System and IoT in Smart Automation and Robotics. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham. (Access Link) 

• Shukla, S. M., & Chatterjee, J. M. (2021). Emotional Intelligence and ICT for Information Processing. In ICT Solutions for Improving Smart Communities in Asia (pp. 106-124). IGI Global. 

2020

• Judith, A. M., Priya, S. B., Kanya, N., & Chatterjee, J. M. (2020). Feature Extraction and Bio Signals. Machine Learning for Healthcare: Handling and Managing Data, 69.

• Sah, U., Chataut, A., & Chatterjee, J. M. (2020). Medical Information Systems. Machine Learning for Healthcare: Handling and Managing Data, 17.

• Kumar A., Payal M., Dixit P., Chatterjee J.M. (2020) Framework for Realization of Green Smart Cities Through the Internet of Things (IoT). In: Al-Turjman F. (eds) Trends in Cloud-based IoT. EAI/Springer Innovations in Communication and Computing. Springer, Cham.

• Priya, G., Shri, M. L., GangaDevi, E., & Chatterjee, J. M. (2020). IoT Use Cases and Applications. In Internet of Things Use Cases for the Healthcare Industry (pp. 205-220). Springer, Cham.

• Sujatha, R., Nathiya, S., & Chatterjee, J. M. (2020). Clinical Data Analysis Using IoT Data Analytics Platforms. In Internet of Things Use Cases for the Healthcare Industry (pp. 271-293). Springer, Cham.

2019

• Chatterjee, J. M., Priyadarshini, I., & Le, D. N (2019). Fog Computing and Its security issues. Security Designs for the Cloud, Iot, and Social Networking, 59-76.

• Garg, S., Chatterjee, J. M., & Le, D. N. (2019). Implementation of Rest Architecure‐Based Energy‐Efficient Home Automation System. Security Designs for the Cloud, Iot, and Social Networking, 143-152.

• M. Lawanya Shri, E. Ganga Devi, Balamurugan Balusamy, and Jyotir Moy Chatterjee (2019). Natural Language Processing in Artificial Intelligence. Brojo Kishore Mishra, Raghvendra Kumar. (eds.) Ontology-Based Information Retrieval and Matching in IoT Applications, Apple Academic Press (CRC Press).

• S. Karthikeyan, Jeevanandam Jotheeswaran, B. Balamurugan, and Jyotir Moy Chatterjee (2019). Natural Language Processing in Artificial Intelligence. Brojo Kishore Mishra, Raghvendra Kumar. (eds.)  Text Mining, Apple Academic Press (CRC Press).

• Choudhuri, A., Chatterjee, J. M., & Garg, S. (2019). Internet of Things in Healthcare: A Brief Overview. In Internet of Things in Biomedical Engineering (pp. 131-160). Academic Press.

• Kumar, P. S., Kumar, A., Rathore, P. S., & Chatterjee, J. M. (2019). An On‐Demand and User‐Friendly Framework for Cloud Data Centre Networks with Performance Guarantee. Cyber Security in Parallel and Distributed Computing: Concepts, Techniques, Applications and Case Studies, 149-159.

• Solanki V.K., Makkar S., Kumar R., Chatterjee J.M. (2019) Theoretical Analysis of Big Data for Smart Scenarios. In: Balas V., Solanki V., Kumar R., Khari M. (eds) Internet of Things and Big Data Analytics for Smart Generation. Intelligent Systems Reference Library, vol 154. Springer, Cham.

2018

• Jha, S., Son, L. H., Kumar, R., Khari, M., & Chatterjee, J. M. (2018). Electronic Wastage: Prospects and Challenges for the Next Generation. In Handbook of e-Business Security. CRC Press. Taylor & Francis.

• Son, L.H., Tripathy, H.K., Acharya, B.R., Kumar, R., Chatterjee, J.M. (2018). Machine Learning on Big Data: A Developmental Approach on Societal Applications, Big Data Processing Using Spark in Cloud, Springer Nature Singapore Pte Ltd. (Scopus).

Online Articles

• Role of Artificial Intelligence in Post COVID-19 World, https://www.lbef.org/role-of-artificial-intelligence-in-post-covid-19-world/

• Materials informatics: Artificial Intelligence for materials discovery, https://www.lbef.org/materials-informatics-artificial-intelligence-for-materials-discovery/

• Cyborg: The Futuristic Artificial Intelligence approach, https://www.lbef.org/cyborg-the-futuristic-artificial-intelligence-approach/

• Artificial Intelligence for Human Resource Operations, https://datascience.foundation/datatalk/artificial-intelligence-for-human-resource-operations

• Utilization of Data Mining in Human Resources, https://datascience.foundation/datatalk/utilization-of-data-mining-in-human-resources

• Material Informatics: A brief overview, https://datascience.foundation/datatalk/material-informatics-a-brief-overview

Patent

• Pradeep Kumar Tiwari, Jyotir Moy Chatterjee, Bhagirathi Nayak, Tania Mahapatra, Awab Habib Fakih, Thirunavukkarasu K., P. Rajakumar, K Sampath Kumar, Ajay Shanker Singh, T. Ganesh Kumar, T. V. Ramana. Real-Time Monitoring & Prediction System for Human Healthcare Parameters Using IoT Sensors. Patent PI 201911041799, October 2019.

Description:  The present invention disclosure is related real-time monitoring & prediction system for human healthcare parameters using IoT sensors. The objective of the present invention to provide overcomes the inadequacies of the prior art in human healthcare parameters monitoring & prediction system. This system comprises a health monitoring device, cloud storage, a cloud computing module and a computing device. The health monitoring device is used to measure different physiological parameters and bio-signals of the person, wherein the health monitoring device comprises plurality of Internet of things sensors to measure different biological and physical parameters (ECG, EMG, pulse rate, blood pressure, oxygen concentration, temperature) of the person.

• Abhishek Kumar, Pramod Singh Rathore, Jyotir Moy Chatterjee, R. Sujatha. Method Of Data Transmission In A Cluster Network. Patent PI: 202111018897, February 2023.

Description: The present disclosure pertains to a method for data transmission in a wireless sensor network (WSN), said method comprises the steps of: determining, for each cluster, a cluster head (CH) node from a plurality of sensor nodes (SNs) based on residual energy of one or more of said plurality of SNs; identifying relay node (RN) for each said cluster based on the selection of minimum distance between the clusters, along with deciding shortest relay route between said clusters to the base station (BS); and calculating shortest distance between one or more pairs of SCH nodes and child nodes (CNs) such that, for a given pair of SCH and CN and a defined number of iterations, if the calculated distance is less than a distance threshold, data transmission is initiated between the determined CH for the respective cluster and the base station (BS) through the shortest relay route.