Nusrat Zerin Zenia

TL;DR: The comparative performance analysis of various DL architectures across different disorders and imaging modalities suggests that the Convolutional Neural Network outperforms other methods in detecting neurological disorders.

TL;DR: The results show that deep learning based techniques can detect the level of disorder with relatively high accuracy and some possible future research directions are provided.

TL;DR: It is found that the protocols for UWSN are highly selective, and the fitness of any protocol depends solely on the application and design requirements, which is addressed by this review.

TL;DR: In this article, the authors present the framework of 6G cellular networks, its aggregation with multidimensional communication techniques such as optical wireless communication network, cell-free communication system, backhaul network, and quantum communication, as well as distributed security paradigm in the context of Internet of Healthcare Things (IoHT).

TL;DR: In this paper, a mobile app-based intelligent portable healthcare (pHealth) tool, called ${i}$ WorkSafe, is presented to assist industries in detecting possible suspects for COVID-19 infection among their employees who may need primary care.