Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
A neural network aided attuned scheme for gun detection in video surveillance images
VP Manikandan, U Rahamathunnisa - Image and Vision Computing, 2022 - Elsevier
Abstract Closed Circuit Television (CCTV) cameras are installed and monitored in private
and open spaces for security purposes. The video and image footages are used for rapid …
and open spaces for security purposes. The video and image footages are used for rapid …
[HTML][HTML] Multipixel image fuzzy edge extraction algorithm based on geometric algebra
M Hou - Journal of Radiation Research and Applied Sciences, 2023 - Elsevier
The traditional image edge extraction algorithm does not integrate the RGB and HSV spatial
geometric features effectively, resulting in large errors and long computing time. Therefore, a …
geometric features effectively, resulting in large errors and long computing time. Therefore, a …
Privacy-Preserving and Efficient Border Surveillance System using Advanced Deep Learning and Cryptographic Techniques
PM Ramyashree, H Ravani, K Aryan… - … Conference on I …, 2024 - ieeexplore.ieee.org
This research presents a comprehensive review of a novel border surveillance system that
leverages advanced deep learning and cryptographic techniques. This study reviews the …
leverages advanced deep learning and cryptographic techniques. This study reviews the …