International Journal Publications

1. A. Chakraborty and N. Mukherjee, “Analysis and mining of an election-based network using large-scale twitter data: A retrospective study,” Social Network Analysis and Mining, vol. 13, no. 1, p. 74, 2023. DOI: 10.1007/s13278-023-01081-0.
2. S. Dutta, B. Mishra, A. Mitra, and A. Chakraborty, “A multi-modal approach for emotion recognition through the quadrants of valence–arousal plane,” SN Computer Science, vol. 4, no. 5, 2023. DOI: 10.1007/s42979-023-01925-8.
3. A. Chakraborty and N. Mukherjee, “A deep-cnn based low-cost, multi-modal sensing system for efficient walking activity identification,” Multimedia Tools and Applications, pp. 1–26, 2022. DOI: 10.1007/s11042-022-13990-x.
4. S. Dutta, B. K. Mishra, A. Mitra, and A. Chakraborty, “An analysis of emotion recognition based on gsr signal,” ECS Transactions, vol. 107, no. 1, p. 12 535, 2022. DOI: 10.1149/10701.12535ecst.
5. A. Chakraborty and S. Bose, “Around the world in 60 days: An exploratory study of impact of covid-19 on online global news sentiment,” Journal of computational social science, vol. 3, no. 2, pp. 367–400, 2020. DOI: 10.1007/s42001-020-00088-3.
6. A. Ghosh, A. Chakraborty, J. Kumbhakar, M. Saha, and S. Saha, “Humansense: A framework for collective human activity identification using heterogeneous sensor grid in multi-inhabitant smart environments,” Personal and Ubiquitous Computing, pp. 1–20, 2020. DOI: 10.1007/s00779-020-01402-6.
7. A. Ghosh, A. Chakraborty, D. Chakraborty, M. Saha, and S. Saha, “Ultrasense: A non-intrusive approach for human activity identification using heterogeneous ultrasonic sensor grid for smart home environment,” Journal of Ambient Intelligence and Humanized Computing, pp. 1–22, 2019. DOI: 10.1007/s12652-019-01260-y.

Conference Publications

1. A. Chakraborty, N. Badyal, A. Sharma, and N. Mukherjee, “A novel centrality-based measure for election network analysis,” in 2022 IEEE Silchar Subsection Conference (SILCON), (National Institute of Technology (NIT) Silchar, Assam, India), IEEE, 2022, pp. 1–6. DOI: 10.1109/SILCON55242.2022.10028812.
2. A. Chakraborty, S. Dutta, A. Biswas, P. Das, S. N. Bhagat, and S. Guha, “Matra: An automated system for maternal risk assessment,” in Human-Centric Smart Computing: Proceedings of ICHCSC 2022, (University of Engineering & Management, Jaipur, Rajasthan, India), Springer, 2022, pp. 183–189. DOI: 10.1007/978-981-19-5403-0_15.
3. A. Chakraborty, A. Iqbal, S. Guha, et al., “On analyzing the twitter usage and sentiment in India during the second wave of covid-19,” in Applications of Machine intelligence in Engineering, (University of Engineering & Management, Jaipur, Rajasthan, India), CRC Press, 2022, pp. 499–509. DOI: 10.1201/9781003269793-52.
4. A. Chakraborty, S. Dutta, S. N. Bhagat, S. Guha, A. Biswas, and P. Roy, “On exploring the role of feature processing in gait-based gender identification,” in 2021 19th OITS International Conference on Information Technology (OCIT), (Silicon Institute of Technology, Bhubaneswar, Odhisa, India), IEEE, 2021, pp. 285–289. DOI: 10.1109/OCIT53463.2021.00064.
5. S. Banerjee, S. Mondal, A. Chakraborty, and S. Chattaraj, “Global positioning system based automated railway level crossing,” in 2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE), (Techno India University, Kolkata, India), IEEE, 2020, pp. 1–4. DOI: 10.1109/ICCECE48148.2020.9223092.
6. A. Ghosh, A. Sanyal, A. Chakraborty, et al., “On automatizing recognition of multiple human activities using ultrasonic sensor grid,” in 2017 9th international conference on communication systems and networks (COMSNETS), (Chancery Pavilion Hotel, Bangalore, India), IEEE, 2017, pp. 488–491. DOI: 10.1109/COMSNETS.2017.7945440.

Book chapters

1. A. Biswas, A. Chakraborty, S. Dutta, A. Mitra, and B. K. Mishra, “An introductory study to quantum programming,” in Technology Road Mapping for Quantum Computing and Engineering, IGI Global, 2022, pp. 11–23. DOI: 10.4018/978-1-7998-9183-3.
2. A. Chakraborty, S. Adhikary, A. Ghosh, and P. S. Paul, “Application of machine intelligence in iot-enabled healthcare monitoring systems: A case study-based approach,” in Smart and Secure Internet of Healthcare Things, CRC Press, 2022, pp. 49–70. DOI: 10.1201/9781003239895-4.
3. A. Chakraborty and N. Mukherjee, “A low-cost imu-based wearable system for precise identification of walk activity using deep convolutional neural network,” in Big data intelligence for smart applications, Springer, 2022, pp. 117–140. DOI: 10.1007/978-3-030-87954-95.
4. A. Chakraborty, S. Chattaraj, S. Karmakar, and S. Mishrra, “A robust approach for effective spam detection using supervised learning techniques,” in Machine Learning Techniques and Analytics for Cloud Security, Wiley Online Library, 2021, pp. 171–191. DOI: 10.1002/9781119764113.ch9.