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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Bibliographic Details
Main Authors: Adhikary, Apurba, Murad, Saydul Akbar, Munir, Md Shirajum, Choong Seon, Hong Seong
Format: Conference or Workshop Item
Language:English
English
Published: IEEE Computer Society 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access: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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