Kumar, A., Kumar, N., Kuriakose, J. et al. A deep transfer learning based approaches for the detection and classification of acute lymphocytic leukemia using microscopic images. Multimed Tools Appl (2024).
Khanduja, N., Kumar, N., & Chauhan, A. (2024). Telugu Language Hate Speech Detection using Deep Learning Transformer Models: Corpus Generation and Evaluation. Systems and Soft Computing, 200112. ISSN 2772-9419
Kumar N, “Exploring the Role and Relevance of Artificial Intelligence in the Vedas: A Contemporary Analysis” Vedic Vag Jyoti, Vol 22, Issue 21, PP 121-140, July-December 2023
Kumar, A., Kumar, N., Kuriakose, J. et al. A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs. Arch Computat Methods Eng (2023). https://doi.org/10.1007/s11831-023-09936-7
Sunil Kumar & Vikas Deswal (2019) Optimization at low temperature transesterification biodiesel production from soybean oil methanolysis via response surface methodology, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, DOI: 10.1080/15567036.2019.1649331
N. Kumar, M. Aggrawal, R. Kumar, S. Singh, and C. Goel, “AN APPLICATION DEPLOYMENT TO OPENSHIFT CLOUD USING EXISTING GIT,” Int. J. Eng. Comput. Science, vol. 4, no. 1, pp. 1–2, 2015.
N. Kumar, “स्वामी श्रद्धानंद और गुरुकुल को जन्म देने वाली परिस्थितियां,” Gurukul Shodh Bharti, vol. 20, no. September, pp. 224–228, 2013.
M. Aggrawal, N. Kumar, and A. Kaushik, “Review of Research Issues in Cloud Computing,” Int. J. Appl. Eng. Res., vol. 9, no. 21, pp. 9479–9488, 2014.
Prachi, N. Kumar, and G. Matta, “ARTIFICIAL NEURAL NETWORK APPLICATIONS IN AIR QUALITY MONITORING AND MANAGEMENT,” Int. J. Environ. Rehabilatation Conserv., vol. 2, no. 1, pp. 1631–1638, 2011.
M. Aggrawal and N. Kumar, “Virtualization: Technology Helping Environment,” ESSENCE – Int. J. Environ. Rehabil. Conserv., vol. VI, pp. 58–62, 2015.