… The purpose of this study is to provide a brief review of deep learning architectures and their
… -analysis of deep learning. From this analysis, it is concluded that advanced deep learning …

… Furthermore, the methodology used to … literature review on deep learning-based process
prediction. The major objective of this study is to collect and compare existing deep learning …

… systematic reviews focusing on deep learning methods, which we consider to be promising
methods … to conduct a systematic review of existing deep learning methods for ECG data from …

… deep learning methods for improving the performance of RS. However, despite the several
research works on deep learning … a systematic literature review (SLR) of deep learning based …

… machine learning methods and 49 articles using deep … We have looked for systematic
reviews and original research … In this analysis, only papers that were published in journals and …

… , and online learning. Therefore, motivated by the limitations of the existing studies, this … the
deep learning techniques into supervised, unsupervised, reinforcement, and hybrid learning-…

… In this paper, a thorough review has been performed on … review, deep reinforcement
learning methods are divided into two main categories: value function and policy search methods. …

… In this paper, we have presented a systematic literature review of the deep learning techniques
for video processing in the context of computer vision. We included 93 research papers …

… of techniques and approaches in deep learning, we present the overview of several popular
deep learning methods that … Deep learning originated from artificial neural networks (ANNs) …

… In conclusion, the literature review highlights the significant advancements in machine learning
and deep learning in recent years and their potential … 3.0 RESEARCH METHODOLOGY …