Shidhartho Roy

TL;DR: Two novel terminologies named resilience risk factor and grid infrastructure density are propounded in this work, which will serve as vital parameters to determine grid resilience.

TL;DR: An end-to-end encoder-decoder network, named DRNet, for the segmentation and localization of OD and Fovea centers is proposed and exhibits excellent performance even with limited training data and without intermediate intervention and can be employed to design a better-CST system to screen retinal images.

TL;DR: A robust CNN-based network for the automatic recognition of the coronavirus from CT or X-ray images, called CVR-Net (Coronavirus Recognition Network), which is a multi-scale-multi-encoder ensemble model, where the outputs from two different encoders and their different scales are aggregated to obtain the final prediction probability.

TL;DR: It is concluded that high-level distinctive features can be extracted from Mammograms by using the pre-trained DCNN, which can be used with the SVM classifier to robustly distinguish between the mass and non-mass presence in the breast.

TL;DR: In this article, the authors conduct a rigorous review and analysis of the state-of-the-art Missing Value Imputation (MVI) methods in the literature published in the last decade and select 191 articles for review using the well-known Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) technique.