Machine Learning for Enhancing Public Safety in Modern Cities

被引：0
|
作者：
Cesario, Eugenio [1 ]
机构：
[1] Univ Calabria, Comp Engn, I-87036 Arcavacata Di Rende, Italy
来源：
COMPUTER | 2024年 / 57卷 / 04期
关键词：
Machine learning; Criminal law; Spatiotemporal phenomena; Safety; Law enforcement;
D O I：
10.1109/MC.2023.3342564
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Machine learning offers effective techniques to analyze crime data with spatial and temporal information, providing accurate predictions of criminal activities, with the aim to develop more effective strategies for crime prevention and improve public safety.
引用
收藏
页码：104 / 107
页数：4
相关论文
共 50 条
  • [41] Enhancing battery pack safety against cone impact using machine learning techniques and Gaussian noise
    Zhang, Qian
    Han, Shaoyong
    Abed, Azher M.
    Basem, Ali
    El-Sharkawy, Mohamed R.
    Salah, Bashir
    Mahariq, Ibrahim
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 191 : 448 - 465
  • [42] Enhancing urban mobility: machine learning-powered fusion approach for intelligent traffic congestion control in smart cities
    Chaudhary, Ankur
    Meenakshi, M.
    Sharma, Soma
    Rahman, Mahbubur
    Srinivasan, S.
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2025,
  • [43] Enhancing accuracy through ensemble based machine learning for intrusion detection and privacy preservation over the network of smart cities
    Mudita Uppal
    Yonis Gulzar
    Deepali Gupta
    Jayant Uppal
    Mukesh Kumar
    Shilpa Saini
    Discover Internet of Things, 5 (1):
  • [44] Enhancing Spectrometer Performance with Unsupervised Machine Learning
    Harding, Benjamin D.
    Hu, Ziling
    Hiett, Ashley
    Delaglio, Frank
    Henzler-Wildman, Katherine A.
    Rienstra, Chad M.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2024, 128 (42): : 10397 - 10407
  • [45] Machine learning enhancing metaheuristics: a systematic review
    Artur Leandro da Costa Oliveira
    André Britto
    Renê Gusmão
    Soft Computing, 2023, 27 : 15971 - 15998
  • [46] Enhancing computational fluid dynamics with machine learning
    Vinuesa, Ricardo
    Brunton, Steven L.
    NATURE COMPUTATIONAL SCIENCE, 2022, 2 (06): : 358 - 366
  • [47] Machine learning models for enhancing cyber security
    Therasa, P. R.
    Shanmuganathan, M.
    Bapu, B. R. Tapas
    Sankarram, N.
    INTERNATIONAL JOURNAL OF ELECTRONIC SECURITY AND DIGITAL FORENSICS, 2024, 16 (05) : 590 - 601
  • [48] Machine Learning: The Cyber-Security, Privacy, and Public Safety Opportunities and Challenges for Emerging Applications
    Guo, Kehua
    Tan, Zhiyuan
    Luo, Entao
    Zhou, Xiaokang
    SECURITY AND COMMUNICATION NETWORKS, 2021, 2021
  • [49] Machine Learning Inspired Sound-Based Amateur Drone Detection for Public Safety Applications
    Anwar, Muhammad Zohaib
    Kaleem, Zeeshan
    Jamalipour, Abbas
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (03) : 2526 - 2534
  • [50] Enhancing synthesis prediction via machine learning
    Schoen, J. C.
    NATURE COMPUTATIONAL SCIENCE, 2025, 5 (02): : 95 - 96
12345