Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Subject

Browsing by Subject "112 Emergency Number"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Publication
    Predictive Crime Analysis: Statistical Approach to Forecast Crime Hotspots Using Recursive Neural Network in Deep Learning
    (2nd IEEE International Conference on Advances in Information Technology, ICAIT 2024 - Proceedings, 2024)
    Keerthika, V  
    ;
    Geetha, A  
    ;
    Raj, D M Deepak  
    In the contemporary world, concentrating on predicting the crime analysis is important with increasing criminal & unethical activities all over the world, we are in the need to predict these actions and to formulate countermeasures using statistical/ML techniques. Predictive Policing involves data processing on a large scale to predict and prevent possible future crimes/disturbing activities. This includes utilizing past recorded criminal activities, demographic features, and so on. The method should be able to identify the required patterns accurately and efficiently, and it must use methods that will mesh with law enforcement to make it easier for them to effectively handle these incidents. Using a Recursive Neural Network in Deep Learning (RNNDL) compute confidence rate by giving past predictions less weightage and recent predictions higher weightage, we would be able to figure out crime hotspots with a verified historical dataset of crime records efficiently. ©2024 IEEE.

Powered by - Informatics Publishing Ltd