Edge assisted crime prediction and evaluation framework for machine learning algorithms

Edge assisted crime prediction and evaluation framework for machine learning algorithms

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 historical events and demographic observation...

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Bibliografske podrobnosti
Main Authors: Adhikary, Apurba, Murad, Saydul Akbar, Munir, Md Shirajum, Choong Seon, Hong Seong
Format: Conference or Workshop Item
Jezik:English
English
Izdano: IEEE Computer Society 2022
Teme:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online dostop:http://umpir.ump.edu.my/id/eprint/39595/1/Edge%20Assisted%20Crime%20Prediction%20and%20Evaluation%20Framework%20for%20Machine.pdf
http://umpir.ump.edu.my/id/eprint/39595/2/Edge%20assisted%20crime%20prediction%20and%20evaluation%20framework%20for%20machine%20learning%20algorithms_ABS.pdf

Internet

http://umpir.ump.edu.my/id/eprint/39595/1/Edge%20Assisted%20Crime%20Prediction%20and%20Evaluation%20Framework%20for%20Machine.pdf
http://umpir.ump.edu.my/id/eprint/39595/2/Edge%20assisted%20crime%20prediction%20and%20evaluation%20framework%20for%20machine%20learning%20algorithms_ABS.pdf

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