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...
Main Authors: | Adhikary, Apurba, Murad, Saydul Akbar, Munir, Md Shirajum, Choong Seon, Hong Seong |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE Computer Society
2022
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Subjects: | |
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 |
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