… systematic literature review approach presented in this paper shows specific criteria used to
filter research papers that did not meet this research … research review focuses on identifying …

… This study conducts a systematic literature review of the … A systematic literature review is
a methodology followed to … literature related to certain research topics. We performed this …

… that, the proposed model can detect the heart failure patients with 48… a Deep Neural Network
(DNN)-based model named craftNet to accurately recognize the handcraft features to detect …

… In the articles reviewed in this study, two key data sets were detected: (1) open-access
data sets and (2) un-published key data sets (as in Figure 11). The open access data sets …

… approach used to detect breast cancer. In this research work, we systematically reviewed …
We will compare deep learning models with classical machine learning models to compare …

… AD detection compared to general machine learning techniques. Nevertheless, AD … reviews
the current state of AD detection using deep learning. Through a systematic literature review …

… and defense strategies using reinforcement learning algorithms to improve the ability to
detect … feature extraction for wireless networks based on a feed-forward deep neural network. …

… For more than 30 years, skin cancer detection by CAD systems has been a hot topic of
research [73]. For example, several methods for melanoma identification, classification, and …

… In conclusion, the literature review highlights the significant … The literature review also
includes identifying gaps in … Explaining deep neural networks and beyond: A review of methods …

… This study explores a systematic literature review of various … Deep Neural Networks (DNN)
is a combination of both deep … terms of detection mechanism is a potential future research area…