Results 151 to 160 of about 5,507,676 (170)

HDM-GNN: A Heterogeneous Dynamic Multi-view Graph Neural Network for Crime Prediction

ACM transactions on sensor networks
Smart cities have drawn a lot of interest in recent years, which employ Internet of Things (IoT)-enabled sensors to gather data from various sources and help enhance the quality of residents’ life in multiple areas, e.g. public safety.
Binbin Zhou, Hang Zhou, Weikun Wang, Li-Ming Chen, Jian-Hua Ma, Zeng-Wei Zheng   +5 more
semanticscholar   +1 more source

Performance Improvements of Machine Learning-Based Crime Prediction, A Case Study in Bangladesh

International Conference on Multimodal Interaction
Crime observation examines information on criminal episodes to identify trends in their types, locations, and timing. Forecasting probable criminal activity in some places exploits previous data and data analysis to predict future criminal activity ...
Sm Nuruzzaman Nobel, S. M. R. Swapno, Md. Babul Islam, V. Meena, F. Benedetto   +4 more
semanticscholar   +1 more source

Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey

ACM Transactions on Intelligent Systems and Technology
This survey article presents a comprehensive analysis of crime prediction methodologies, exploring the various techniques and technologies utilized in this area.
Kamal Taha
semanticscholar   +1 more source

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks

IEEE International Conference on Acoustics, Speech, and Signal Processing
Crime prediction (CP) plays a pivotal role in urban analytics, contributing significantly to personal safety and societal stability. Unlike conventional time series forecasting, CP faces unique difficulties due to the inherent sparsity of crime incidents,
Ze-Pu Wang, Xiao-Bo Ma, Hua-Jie Yang, Weimin Lyu, Yang Liu, Peng Sun, Sharath Chandra Guntuku   +6 more
semanticscholar   +1 more source

Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms

International Conference on Information Networking, 2022
The growing global populations, particularly in major cities, have created new problems, notably in terms of public safety regulation and optimization. As a result, in this paper, a strategy is provided for predicting crime occurrences in a city based on
Apurba Adhikary, Saydul Akbar Murad, Md. Shirajum Munir, C. Hong   +3 more
semanticscholar   +1 more source

Deep Learning Based Crime Prediction Models: Experiments and Analysis

arXiv.org
Crime prediction is a widely studied research problem due to its importance in ensuring safety of city dwellers. Starting from statistical and classical machine learning based crime prediction methods, in recent years researchers have focused on ...
Rittik Basak Utsha, Muhtasim Noor Alif, Yeasir Rayhan, Tanzima Hashem, M. E. Ali   +4 more
semanticscholar   +1 more source

AIST: An Interpretable Attention-Based Deep Learning Model for Crime Prediction

ACM Transactions on Spatial Algorithms and Systems, 2023
Tanzima Hashem, Yeasir Rayhan
exaly  

AI-driven crime prediction: a systematic literature review

Journal of Computational Social Science
Nadeem Iqbal, Awais Hassan, Talha Waheed
semanticscholar   +1 more source

Crime risk prediction incorporating geographical spatiotemporal dependency into machine learning models

Information Sciences, 2023
Yue Deng
exaly  

Crime prediction in Trinidad and Tobago using big data analytics

International Journal of Data Science and Analysis, 2023
E. Ramsahai, Navin Dookeram, D. Ramsook, Jason Robert Rameshwar, Abdu Yearwood, Annamika Bachoo, K. Khan   +6 more
semanticscholar   +1 more source