Risk Identification Rate Improvement.

<div><p>Campus safety is an essential concern as schools, colleges, and universities work to create secure environments for students, staff, and visitors. Many existing security systems are not fully effective at detecting unusual behaviors or sending fast alerts, which can delay respons...

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Glavni avtor:	Li Liu (75607) (author)
Izdano:	2025
Teme:	Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified system &# 8217 sending fast alerts risk evaluation ), reduces false alarms faster response times experimental results show detecting unusual behaviors detect abnormal activities create secure environments based framework designed recognize behavior patterns research introduces deepcare based campus anomaly enhance behavior recognition early warning system time video footage deepcare also includes behavior recognition accuracy lstm networks analyze applying deep learning behavior recognition early warning surveillance footage makes deepcare deepcare achieves campus security universities work unauthorized access transport hubs traditional methods term memory smart cities scalable solution restricted areas public spaces process real potential threats people staying main feature hybrid model fully effective essential concern educational campuses delay responses deep learning
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Risk Identification Rate Improvement.

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