Ahmed, Q. W. , & Garg, S. . (2023). IoT based Smart Healthcare System in Cloud Environment. International Journal of Microsystems and IoT, 1(2), 73--81.

Selvam, L. , Garg, S. , Murali Prasad, R. , Qamar, S. , Mohana Lakshmi, K. , & Ratna, V. R. . (2023). Collaborative autonomous system based wireless security in signal processing using deep learning techniques. Optik, 272, 170313. Urban & Fischer.

Junaid, K. M. , Sukhi, Y. , Anjum, N. , Jeyashree, Y. , Fayaz Ahamed, A. , Debbarma, S. , Chaudhary, G. , Priyadarshini, S. , Shylashree, N. , Garg, S. , & others . (2023). PV-based DC-DC buck-boost converter for LED driver. e-Prime-Advances in Electrical Engineering, Electronics and Energy, 5, 100271. Elsevier.

Abgeena, A. , & Garg, S. . (2023). A novel convolution bi-directional gated recurrent unit neural network for emotion recognition in multichannel electroencephalogram signals. Technology and Health Care, 31(4), 1215--1234. SAGE Publications Sage UK: London, England.

Tigga, N. P. , & Garg, S. . (2022). Prediction of Global Psychological Stress and Coping Induced by the COVID-19 Outbreak: A Machine Learning Study. Alpha Psychiatry 2022, DOI: 10.5152/alphapsychiatry.2022.21797, 23(4), 193--202. AVES.

Garg, S. , Kumar, V. , & Rao Payyavula, S. . (2022). Identification of internet of things (IoT) attacks using gradient boosting: a cross dataset approach. Telematique, 21(1), 6982--7012.

Ahmed, Q. W. , Garg, S. , Rai, A. , Ramachandran, M. , Jhanjhi, N. Z. , Masud, M. , & Baz, M. . (2022). Ai-based resource allocation techniques in wireless sensor internet of things networks in energy efficiency with data optimization. Electronics, 11(13), 2071. MDPI.

Kumar, V. , Kumar, A. , Garg, S. , & Payyavula, S. . (2022). Boosting algorithms to identify distributed denial-of-service attacks.

Singhal, A. , Kumari, N. , Ghosh, P. , Singh, Y. , Garg, S. , Shah, M. P. , Jha, P. K. , & Chauhan, D. . (2022). Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models. Environmental Technology & Innovation, 27, 102805. Elsevier.

Ahmed, Q. W. , & Garg, S. . (2022). Double Diagonal Puzzle Encryption Standard-512 for Securing Data over Cloud Environment: Double Diagonal Puzzle Encryption Standard-512 for Securing Data Over Cloud Environment using reservoir computing. Journal of Grid Computing, 20(3), 33. Springer Netherlands Dordrecht.

Garg, S. , Pandey, R. , & Garg, A. . (2022). Assessment of the Impact of Personality Characteristic on Emotion Resilience.

Tigga, N. P. , & Garg, S. . (2022). Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals. Health Information Science and Systems, 11(1), 1. Springer International Publishing Cham.

Garg, S. , Behera, S. , Rahul Patro, K. , & Garg, A. . (2021). Deep neural network for electroencephalogram based emotion recognition.

Garg, S. , & Garg, A. . (2021). Comparison of machine learning algorithms for content based personality resolution of tweets. Social Sciences & Humanities Open, 4(1), 100178. Elsevier.

Ahmed, Q. , & Garg, S. . (2021). Energetic data security management scheme using hybrid encryption algorithm over cloud environment. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(6), 201--208.

Tigga, N. P. , & Garg, S. . (2020). Predicting type 2 diabetes using logistic regression.

Tigga, N. P. , & Garg, S. . (2020). Prediction of type 2 diabetes using machine learning classification methods. Procedia Computer Science, 167, 706--716. Elsevier.

Gupta, P. , Garg, S. , & Garg, A. . (2020). Convolutional Neural Network for Lung Cancer.

Priya, A. , Garg, S. , & Tigga, N. P. . (2020). Predicting anxiety, depression and stress in modern life using machine learning algorithms. Procedia Computer Science, 167, 1258--1267. Elsevier.

Kumar, P. , Garg, S. , & Garg, A. . (2020). Assessment of anxiety, depression and stress using machine learning models. Procedia Computer Science, 171, 1989--1998. Elsevier.