S. Baskar

TL;DR: Learning based Deep-Q-Networks has been introduced for reducing the malware attacks while managing the health information and helps to minimize the intermediate attacks with less complexity.

TL;DR: This state-of-the-art smart-log patch with Internet of Things (IoT) sensors has been designed and developed with multimedia technology and is considered as one of evolutionary research in health checking of multi access physical monitoring systems with multimediaTechnology.

TL;DR: This brain tumor classification system using machine learning-based back propagation neural networks (MLBPNN) causes pathologists to enhance the exactness and proficiency in location of threat and to limit the entomb onlooker variety.

TL;DR: The predicted result is used to diagnose which age group and gender are mostly affected by diabetes, and the efficiency of two different clustering techniques suitable for the environment are compared.

TL;DR: The DICF framework is designed to improve the interoperability of the devices acclimatized to adapt dynamic nature of different tracking healthcare applications to leverage its performance.