Residual Attention based Long Short-Term Memory for Anomaly Human Behaviour Detection-Reference-Cited by-同舟云学术

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Residual Attention based Long Short-Term Memory for Anomaly Human Behaviour Detection

Published:2024-03-15 Issue: Volume:11 Page:1-4
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Padma Kala S¹,Aruna M G²,Upendra Roy B. P.³,Gurumoorthy Sasikumar⁴,Alabdeli Haider⁵

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Dept of CSE,Chennai,Tamilnadu,India

2. Dayananda Sagar College of Engineering,Department of AIML,Karnataka,India

3. Channabasaveshwara Institute of Technology,Department of Electronics and Communication Engineering,Gubbi,Tumkur,India

4. Dhanalakshmi Srinivasan University,Computer Science and Engineering,Tiruchirappalli,Tamil Nadu,India

5. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515970.pdf?arnumber=10515970

Reference11 articles.

1. Intelligent dual stream CNN and echo state network for anomaly detection

2. Anomaly Classification Using Genetic Algorithm-based Random Forest Model for Network Attack Detection

3. Advanced Architecture of Analog to Digital Converter Derived from Half Flash ADC

4. Hybrid Classifiers for Spatio-Temporal Abnormal Behavior Detection, Tracking, and Recognition in Massive Hajj Crowds

5. An explainable and efficient deep learning framework for video anomaly detection

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