BOOK CHAPTERS
[10] S. Gupta, A. Roy and M. Devi, “A Survey on Ransomware Detection Methods”, In: New Horizons in Higher Education and Research: Multidisciplinary Interfaces, National Conference on Higher Education and Research: Towards a Transformative and Sustainable Society (HERTSS-2023), Tripura University (A Central University), Agartala, India, 10-12 October 2023 [Download PDF]
[9] Dipanjoy Majumder, Alak Roy and Mampi Devi, “Enhancing Cultural Preservation: Machine Learning-Based Hand Gesture Recognition for Manipuri Classical Dance”, National Conference on Higher Education and Research: Towards a Transformative and Sustainable Society (HERTSS-2023), Tripura University (A Central University), Agartala, India, 10-12 October, 2023 [Download Abstract]
[8] M. Devi, A. Chakraborty, A. Roy, and D. Majumder, Single-hand Gesture Recognition of Manipuri Classical Dance of India based on Skeletonization Technique, In 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), Silchar, India, pp. 1-7, IEEE, 03 April 2023, doi: 10.1109/ISACC56298.2023.10083889. [Download PDF]
[7] A. Bhattacharjee, A. Roy, M. Devi and S. K. Das, Design and fabrication of IoT based smart home automation system using wireless fidelity shield and Arduino microcontroller, In: Mukhopadhyay D. (eds) Blockchain for IoT, CRC Press, USA, 2022. https://doi.org/10.1201/9781003188247-5 (doi: 10.1201/9781003188247-5)
[6] M. Devi and A. Roy, Angle-Based Feature Extraction Method for Fingers of Hand Gestures Recognition, In: Mandal J., Mukhopadhyay S., Roy A. (eds) Applications of Internet of Things. Lecture Notes in Networks and Systems, vol 137, pp. 187-192 Springer, Singapore, 2020. https://doi.org/10.1007/978-981-15-6198-6_17, ISSN: 2367-3370. (Self Assessment Score 3.5)
[5] M. Devi and A. Roy, Recognition of Indian Classical Dance Single-Hand Gestures Using Moment Invariant Features. In: Kar N., Saha A., Deb S. (eds) Trends in Computational Intelligence, Security and Internet of Things. ICCISIoT 2020. Communications in Computer and Information Science, vol. 1358, pp 73-80. Springer, Cham, December 2020. https://doi.org/10.1007/978-3-030-66763-4_7, ISBN 978-3-030-66762-7 (Self Assessment Score 3.5)
[4] M. Devi and A. Majumder, Side Channel Attack in Internet of Things: A Survey, In: Mandal J., Mukhopadhyay S., Roy A. (eds) Applications of Internet of Things. Lecture Notes in Networks and Systems, vol 137, pp 213-222. Springer, Singapore, August 2020. https://doi.org/10.1007/978-981-15-6198-6_20, ISSN: 2367-3370. (Self Assessment Score 3.5)
[3] M. Devi , S. Saharia and D. K. Bhattacharyya, A Dataset of Single-Hand Gestures of Sattriya Dance, In: Chanda B., Chaudhuri S., Chaudhury S. (eds) Heritage Preservation, pp 293-310, Springer, Singapore, June 2018. https://doi.org/10.1007/978-981-10-7221-5_14, Online ISBN 978-981-10-7221-5 (Self Assessment Score 3.5)
[2] M. Devi andS. Saharia, An Empirical Analysis of three Moments on Sattriya Dance Single-Hand Gestures Dataset, In: Kalam A., Das S., Sharma K. (eds) Advances in Electronics, Communication and Computing, Lecture Notes in Electrical Engineering, vol. 443, Springer Singapore, pp 665-673, Oct 2018, https://doi.org/10.1007/978-981-10-4765-7_69, ISBN 978-981-10-4764-0 (Self Assessment Score 3.5)
[1] A. Roy, J. Paul, R. Baidya and M. Devi, Parking Places Discovery and Reservation using Vehicular Ad-Hoc Networks, In: Kalam A., Das S., Sharma K. (eds) Advances in Electronics, Communication and Computing, Lecture Notes in Electrical Engineering, vol. 443, pp. 695-703, Springer, Singapore, Oct 2018, https://doi.org/10.1007/978-981-10-4765-7_72, ISBN 978-981-10-4764-0. (Self Assessment Score 1.5)
JOURNAL PUBLICATIONS
[4] Panem, C., Srivastava, M.A.M., Rao, G.S., Pratihari, H.Kr., Devi, M. and Singh, M.L.H A Comprehensive Study of Emerging Blockchain Applications in Cybersecurity in Cyber Security and Digital Forensics Journal of NFSU: 2024-February, Vol.Special Issue - 1 .
[3] M. Devi, S. Saharia, D. K. Bhattacharyya, A. Roy and P. Charanarur, "MCM-VbF: Dance hand gesture recognition with vision-based features", Discover Internet of Things, vol. 4, no. 18, Springer, 2024. (ISSN 2730-7239, Scopus indexed), 2024. https://doi.org/10.1007/s43926-024-00072-7, E-ISSN:2730-7239 [Download PDF]
[2] M. Devi and A. Roy, "Vision-based feature extraction approach for counting the number of fingers" [Status: Under Review]
[1] M. Devi, S. Saharia, and D. K. Bhattacharyya, Dance Gesture Recognition: A Survey, International Journal of Computer Applications, Vol. 122, No. 5, pp. 19-26, July 2015. ISSN 0975–8887 (UGC CARE List 65, Self Assessment Score 3.5)
CONFERENCE PUBLICATIONS
[4] Bharadwaj S, Chotai N, Bharadwaj C, Islam AU, Devi M. Driver Facial Emotions and Drowsiness Detection for Enhanced Advanced Driver Assistance Systems (ADAS): Safety Management. In2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT) 2024 Nov 21 (pp. 1-6). IEEE.
[3] A. Roy, M. Devi, A. Bhattacharya and M. Debbarma, Smart Home Automation System using Internet of Things, International Conference on Computer Communication and Internet of Things (ICCCIoT 2020), Tripura University (A Central University), Agartala, Tripura, India from 03-04 February, 2020. (Self Assessment Score 1.5)
[2] M. Devi and A. Roy, Moment Invariant Feature Extraction from Hand Gestures of a Dancer, International Conference on Recent Advances In Mathematics And Its Applications (ICRAMA-2019), Tripura University, India, 16-18 July, 2019. (Self Assessment Score 3.5)
[1] M. Devi and S. Saharia, A Two-Level Classification Scheme for Single-Hand Gestures of Sattriya Dance, in Proceedings of IEEE International Conference on Accessibility to Digital World (ICADW), IEEE, India, 18 Dec, 2016. (Self Assessment Score 3.5)