… This can be completed by the use of video analysis and … neural networks in the machine
learning group, since most of the studies that reported the use of Artificial Neural Networks also …

… reduction, and action analysis techniques; we also discuss the … survey is to analyze different
aspects of HAR along with the Machine Learning (ML) and Deep Learning (DL) techniques, …

… reviews the principle, cameras, and thermal data of IRMV and discusses the applications of
deep learning … As active thermography NDT always generates the thermal video, we divide …

… using binarization techniques. We propose improving their detection in videos using a two
level methodology based on deep learning, … level applies a binarization technique based on a …

… detailed literature review of existing CNN-based techniques in … This paper reviews CNN-based
deep learning techniques … acceleration time-history, images, or continuous video streams. …

… based on deep learning. In this paper, we provide a systematic survey of this research topic,
… transcription of a video, not the clean target speech signal(s). We decide not to treat such …

… Following the systematic literature review (SLR) procedure, we cover all relevant research
… Moreover, consideration of multiple affects resulted in multitask deep learning methods that …

… review on deep-learning-based object recognition for both surface and underwater targets.
To facilitate a comprehensive review, … recognition using deep learning techniques are drawn. …

… In this work, we aim, through a systematic survey, to understand the landscape of student
outcomes prediction using data mining and machine learning, identify the main challenges …

… research on visual speech, this paper will present a comprehensive review of recent progress
in deep learning methods on … Therefore, video-driven TFG methods will not appear in this …