P. Saxena, D. K. Tyagi, S. Kumar Vipparthi and Subrahmanyam Murala ”WARMOS: Enhancing Weather-Affected Referred Moving Object Segmentation,” 2024 Proceedings of the Asian Conference on Computer Vision (ACCV workshop), pp. 102-114. doi:WARMOS
P. Saxena, D.K. Tyagi, S.K. Vipparthi, Subrahmanyam Murala and R Balasubramanian ”RefMOS: A Robust Referred Moving Object Segmentation framework based on text query,” 2024 IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 1-7. doi:10.1109/AVSS61716.2024.10672595
P. Saxena, K. Biradar, D. K. Tyagi and S. Kumar Vipparthi, ”RIChEx: A Robust Inter-Frame Change Exposure for Segmenting Moving Objects,” 2022 IEEE International Conference on Image Processing (ICIP), 2022, pp. 2172-2176. doi:10.1109/ICIP46576.2022.9897970
Sk Md Adil Imam, Prafulla Saxena, Tuhin Malik, N.K. Patra, and B.K. Agrawal. ”Calibrating global behavior of equation of state by combining nuclear and astrophysics inputs in a machine learning approach” Physical Review D volume 110 issue 10 (2024): pages 103042. https://doi.org/10.1103/PhysRevD.110.103042
NK Patra, Prafulla Saxena, BK Agrawal, TK Jha. ”Establishing connection between neutron star properties and nuclear matter parameters through a comprehensive multivariate analysis” Physical Review D volume 108 issue 12 (2023): pages 123015. https://doi.org/10.1103/PhysRevD.108.123015
Saxena, G., P. K. Sharma, and P. Saxena. ”A global study of alpha-clusters decay in heavy and superheavy nuclei with half-life and preformation factor” EUROPEAN PHYSICAL JOURNAL A, volume 60 issue 3 (2024): pages 50. https://iopscience.iop.org/article/10.1088/1361-6471/abcd1c/meta
Saxena, G., P. K. Sharma, and P. Saxena. ”Modified empirical formulas and machine learning for alpha-decay systematics.” Journal of Physics G: Nuclear and Particle Physics volume 48 issue 5 (2021): pages 055103. link.springer.com/article/10.1140/epja/s10050-024-01259-w
M. Verma, P. Saxena, S.K. Vipparthi. Girdhari Singh, S. K. Nagar ”Definet: Portable CNN Network for Facial Expression Recognition.” ICT for Competitive Strategies. CRC Press, 2020. 217-226. https://doi.org/10.1201/9781003052098
M. Verma, P. Sexena, S. Vipparthi and G. Singh, ”QUEST: Quadriletral Senary Bit Pattern for Facial Expression Recognition,” 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 1498-1503. doi: 10.1109/SMC.2018.00260.
M. Mandal, P. Saxena, S. K. Vipparthi and S. Murala, ”CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction,” 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, 2018, pp. 2468-2473. doi: 10.1109/ICPR.2018.8545504