… In recent years, deep learning (DL) has gained many … In the field of image fusion, the study
based on deep learning has also … In this paper, we will review the recent advances related to …

… (AI) research, driven by advances in deep learning 1 . ‘Deep learning’ is the name given to
… In doing so, we highlight specific falsifiable hypotheses that often underpin deep learning …

… Recent rapid advances in computer hardware and software now allow computers to perform
… is often referred to as deep learning (DL). DL has made great advances in recent years, …

… This paper presents a review of various state-of-the-art deep learning-based techniques
proposed for human action recognition on the three types of datasets. In light of the growing …

… In conclusion, the literature review highlights the significant advancements in machine
learning and deep learning in recent years and their potential to transform various industries. …

… 1) We provide a comprehensive review and taxonomy of recent advancements in deep
learning-based RF sensing. We first classify all works based on the fundamental deep learning …

… the basic tenets of deep learning from a perspective relevant to our subsequent discussion.
In Section III, we present radar problems that can be advanced by deep learning. In Section …

… to explore the advances in concepts and implementation of deep learning algorithms applied
… practical viewpoints, to spur further advances in discovering the secrets of deep learning. …

… Deep Learning methods for protein contact map prediction. Here, we review some of the
more recent Deep Learning-… In this work, they have re-implemented the Deep Learning part of …

… Advanced deep learning practices provide a powerful solution for app-level data mining,
as they demonstrate better precision and higher robustness in IoT applications [475]. …