Enhanced Crime Hotspot Prediction and Visualization for Women's Safety Through Deep Learning

Crime hotspots are geographic areas with elevated levels of criminal activity compared to other regions. Women in these hotspots are at increased risk of experiencing various forms of criminal behavior, including sexual harassment, assault, domestic violence, stalking, and human trafficking. Identifying these hotspots is crucial for effective crime prevention and resource allocation by law enforcement agencies.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-06-12
DOI
https://doi.org/10.71097/ijsat.v16.i2.6118
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhanced Crime Hotspot Prediction and Visualization for Women's Safety Through Deep Learning

S. M. Anzar, M. Jyothi
International Journal on Science and Technology
Crime Patterns and Interventions
article

Enhanced Crime Hotspot Prediction and Visualization for Women's Safety Through Deep Learning

S. M. Anzar, M. Jyothi
article en

Abstract

Crime hotspots are geographic areas with elevated levels of criminal activity compared to other regions. Women in these hotspots are at increased risk of experiencing various forms of criminal behavior, including sexual harassment, assault, domestic violence, stalking, and human trafficking. Identifying these hotspots is crucial for effective crime prevention and resource allocation by law enforcement agencies.

International Journal on Science and TechnologyVol. 16(2)
Gender equality
Openalex Percentile: Top 81%
Crime Patterns and Interventions
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Enhanced Crime Hotspot Prediction and Visualization for Women's Safety Through Deep Learning — S. M. Anzar, M. Jyothi · International Journal on Science and Technology (2025) | TGRS Research Map | TGRS