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Olivier Debauche, Jean Bertin Nkamla Penka, Saïd Mahmoudi, Xavier Lessage, Moad Hani, Pierre Manneback, Uriel Kanku Lufuluabu, Nicolas Bert, Dounia Messaoudi and Adriano Guttadauria
The aging of the world?s population, the willingness of elderly to remain independent, and the recent COVID-19 pandemic have demonstrated the urgent need for home-based diagnostic and patient monitoring systems to reduce the financial and organizational ...
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Deepaa Selva, Balakrishnan Nagaraj, Danil Pelusi, Rajendran Arunkumar and Ajay Nair
Rapid Internet use growth and applications of diverse military have managed researchers to develop smart systems to help applications and users achieve the facilities through the provision of required service quality in networks. Any smart technologies o...
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Dohun Kim, Heegwang Kim, Yeongheon Mok and Joonki Paik
In spite of excellent performance of deep learning-based computer vision algorithms, they are not suitable for real-time surveillance to detect abnormal behavior because of very high computational complexity. In this paper, we propose a real-time surveil...
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Thi-Thu-Huong Le, Yongsu Kim and Howon Kim
The recent increase in hacks and computer network attacks around the world has intensified the need to develop better intrusion detection and prevention systems. The intrusion detection system (IDS) plays a vital role in detecting anomalies and attacks o...
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Imdadul Karim, Quoc-Tuan Vien, Tuan Anh Le and Glenford Mapp
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