Fire swin: Video anomaly detection using a hybrid model with convolutional layers, fire module, and swin transformer

JOURNAL ARTICLE

Year: 2025 Journal: Journal of Engineering Research Publisher: Elsevier BV

DOI: 10.1016/j.jer.2025.08.016

Keywords:

Transformer Anomaly detection Computer science Artificial intelligence Engineering Electrical engineering

Metrics

Cited By

9.64

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing