Sadiq Hussain

TL;DR: This study reviews recent advances in UQ methods used in deep learning and investigates the application of these methods in reinforcement learning (RL), and outlines a few important applications of UZ methods.

TL;DR: A complete survey of studies on the application of DL techniques for COVID-19 diagnostic and automated segmentation of lungs is discussed, concentrating on works that used X-Ray and CT images.

TL;DR: The internal assessment attribute in the continuous evaluation process makes the highest impact in the final semester results of the students in the dataset, and showed that random forest outperforms the other classifiers based on accuracy and classifier errors.

TL;DR: A comprehensive overview of works focused on automated epileptic seizure detection using DL techniques and neuroimaging modalities is presented in this article, where rehabilitation systems developed for epileptic seizures using DL have been analyzed, and a summary is provided.

TL;DR: A comprehensive overview of works focused on automated epileptic seizure detection using DL techniques and neuroimaging modalities is presented and the most promising DL models proposed and possible future works on automated epilepsy seizure detection are delineated.