A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based Segmentation. - J. Senthil Kumar; S. Appavu alias Balamurugan; S. Sasikala (J. Medical Imaging Health Informatics, 2021)

Analysis of Deep Learning Techniques for Tuberculosis Disease. - J. Senthil Kumar; S. Appavu alias Balamurugan; S. Sasikala (SN Comput. Sci., 2021)

Tropical Cyclone Intensity and Track Prediction in the Bay of Bengal Using LSTM-CSO Method. - J. Senthil Kumar; V. Venkataraman; S. Meganathan; Kannan Krithivasan (IEEE Access, 2023)

Deep learning based video surveillance for predicting vehicle density in real time scenario. - Priyanka Ganesan; J. Senthil Kumar; S. T. Veena (J. Ambient Intell. Humaniz. Comput., 2023)

Czekanowsky Hypergraph-Based Deep Learning Classifier for Precision Cyclone Forecasting. - K. Rajesh; Logesh Ravi; Nalluri Madhusudana Rao; V. Ramaswamy; J. Senthil Kumar; K. Kannan 001; Mohammad Shorfuzzaman; Amr H. Yousef; Mohamed Elsaid Ragab Elkholy; Sasikumar Asaithambi (IEEE Access, 2024)

Prediction of the pneumonia from the CT lung images by using the multiband google NET CNN. - J. Senthil Kumar; R. Pradeepa; Dr. Arulkarthick; S. Chandragandhi (Biomed. Signal Process. Control., 2025)

Integration of Blockchain for securing the transactions in Supply Chain Management. - R. Dhivya; J. Senthil Kumar; S. Siva Haritha; J. Angelene Vidhya; Hemendra Sharma; V. Thaniksiselvan; Hemalatha Mahalingam; Rengarajan Amirtharajan (Multim. Tools Appl., 2025)

DHMDL: Dynamically Hashed Multimodal Deep Learning Framework for Racket Video Summarization Using Audio and Visual Markers. - Priyanka Ganesan; J. Senthil Kumar; M. Prasha Meena (Appl. Artif. Intell., 2025)