TY  - GEN 
AU  - Sivakumaran, AR.
AU  - Maheswari, Yetukuri Gouthami
AU  - Kalyani, Tangirala M N S
AU  - Renusri, Telakapally
PY  - 2024
UR  - https://hdl.handle.net/10481/103706
AB  - Urban safety has become a growing concern as crime rates rise, necessitating the development of effective systems for crime anomaly detection. Traditional crime monitoring systems often rely on manual observation, static surveillance mechanisms, or...
LA  - eng
PB  - Universidad de Granada
KW  - Urban safety
KW  - Crime anomaly detection
KW  - Deep learning
KW  - Convolutional Neural Networks (CNN)
KW  - Long Short-Term Memory (LSTM)
KW  - Predictive analysis
TI  - Hybrid Deep Learning for Crime Anomaly Detection: Integrating CNN and LSTM for Predictive Analysis of Urban Safety
DO  - 10.47750/jett.2024.15.05.34
ER  -