7 天前 - … study was carried out to assess the impact of Doppler and temporal information on
detection performance. The proposed method … -of-the-art deep learning-based approaches. …

16 天前 - … video processing through deep learning models. This study contributes to the
vision-based deep learning … Following the literature review, we illustrate seven corruption types in …

22 天前 - … In this study, we propose a deep learning model based on … The model is trained
and evaluated using a custom … to the current research challenge in deep learning-based TSD. …

24 天前 - … Various deep learning-based techniques proposed in the literature have made
significant progress … In this research paper, we propose a novel Hybrid Multihead Attentive U-Net …

26 天前 - … successive signs in a video stream without prior knowledge … study seeks to provide
a comprehensive literature review … The survey also focused on deep learning SLR methods …

30 天前 - … Surveillance video analysis using automated AI-based techniques is a prominent
… objects performing different activities. In this paper, we present a novel deep learning model …

33 天前 - … multi-view video analysis. Current leading pose … methods are heavily relying
on deep learning techniques [3]. These machine learning methods depend on pre-processed …

38 天前 - … community spends a lot of its time optimizing systems to … We justify this research (to
ourselves, our students and … technologies (eg, machine learning or video streaming) more ac…

42 天前 - … On the other hand, Machine Learning was utilised to … the methods published in
recent literature and reviews the limitations of this investigation, emphasising future work. Video-…

52 天前 - … , as well as the effectiveness of use in the educational process. Any system is called
… , audio, video, the possibility of interactive learning in the process of playing or learning [1]. …