Sudeep Tanwar

TL;DR: A proposed architecture that presents an EXAI ensemble on the computerized tomography (CT) image classification and segmentation process is unfolded that proves the efficacy of EXAI in health setups that envisions real-life model deployments in a wide range of clinical applications.

TL;DR: The distinctive nature of SDA and its complexity over the SG data are discussed, and a detailed taxonomy abstracted into a novel process model is presented, which highlights various research challenges such as secure data collection and preprocessing, secure load data processing and storage, load prediction, load management and analysis, data security and privacy issues, and data communication.

TL;DR: In ET-DeaL, security and privacy issues have been resolved using ESC, while storage cost issues are handled with IPFS protocol, and performance evaluation demonstrates its effectiveness as compared to the traditional systems where it outperforms the existing schemes with respect to various performance evaluation metrics.

TL;DR: PRATIT with the usage of histogram equalization during image preprocessing and data augmentation surpasses the state-of-the-art results and achieves a testing accuracy of 78.52%.

TL;DR: This paper provides a detailed review on suitability of BDA in Indian banking sector and explains how it would help banks in generating actionable insights to improve strategic and operational decisions.