Edited book publications: (01)
Gupta, Hanuman Verma, M. Prasad, J. S. Kirar, & C. T. Lin, (Editos). (2023). Computational Intelligence Aided Systems for Healthcare Domain. CRC Press.
Book chapter publications: (01)
Hanuman Verma, A. Gupta, M. Prasad, J. S. Kirar, & C. T. Lin, Introduction to computational methods: Machine and deep learning perspective. In Computational Intelligence Aided Systems for Healthcare Domain (pp. 1-32). Routledge.
Publications: Peer-Reviewed Journal Publications: (09)
A. Gupta, D. Kumar, Hanuman Verma, M. Tanveer, A. P. Javier, C. T. Lin, M. prasad, (2022). Recognition of Multi-Cognitive Tasks from EEG Signals using EMD Methods. Neural Computing and Applications, 1-18 (Springer). Impact Factor 6.00 (SCI journal).
Hanuman Verma, S. Mandal, & A. Gupta, (2021). Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India. Expert Systems with Applications (Elsevier), 195, 116611, Impact Factor 8.50 (SCI journal).
Hanuman Verma, D. Verma, and P. K. Tiwari, (2021). A population-based hybrid FCM-PSO algorithm for clustering analysis and segmentation of brain image. Expert Systems with Applications (Elsevier), 167, 114121. Impact Factor 8.50 (SCI journal).
D. Kumar, R. K. Agrawal, and Hanuman Verma (2019). Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation. Soft Computing (Springer), 1-24. Impact Factor 4.10 (SCI journal).
Hanuman Verma, A. Gupta, and D. Kumar, (2019). A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree. Pattern Recognition Letters (Elsevier), 122, 45-52. Impact Factor 5.10 (SCI journal).
D. Kumar, Hanuman Verma, A. Mehra, & R. K. Agrawal, (2018). A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image. Multimedia Tools and Applications (Springer), 1-25. Impact Factor 3.60 (SCI journal).
Hanuman Verma, R. K. Agrawal and A. Sharan (2016). An Improved Intuitionistic Fuzzy C-means Clustering Algorithm Incorporating Local Information for Brain Image Segmentation. Applied Soft Computing (Elsevier), 46, 543-55. Impact Factor 8.70 (SCI journal).
Hanuman Verma and R. K. Agrawal (2015). Possibilistic Intuitionistic Fuzzy C-means Clustering Algorithm for MRI Brain Image Segmentation. International Journal on Artificial Intelligence Tools (World Scientific), 24(5), 1-24. Impact Factor 1.10 (SCI journal).
Hanuman Verma, R. K. Agrawal, and Naveen Kumar (2014). Improved fuzzy entropy clustering algorithm for MRI brain image segmentation. International Journal of Imaging Systems and Technology (Wiley), 24(4), 277-283. Impact Factor 3.30 (SCI journal).
Peer-Reviewed Conference Publications: (02)
Hanuman Verma and R. K. Agrawal (2012). Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image. In Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS), Springer India, 133-144.
Hanuman Verma and R. K. Agrawal (2011). Automatic segmentation of MRI brain image using type-3 fuzzy c-means clustering algorithm. Proceeding of the Fifth Indian international conference on artificial intelligence (IICAI), 1060-1069.
Preprint paper: (01)
Hanuman Verma, A. Gupta, & U. Niranjan, (2020). Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention. arXiv preprint arXiv:2008.10450.