An ensemble method combining these individual models was implemented to improve the prediction performance. Through the voting ensemble method, the final \\({R}^{2}\\) score for crime rate prediction was enhanced to 0.8104.Ling, Hneah Guey...
Hence, the proactive prediction of crimes is vital as it empowers law enforcement agencies to make decisions on resource allocation and targeted interventions based on the data, ultimately leading to a more secure and protected community. Additionally, such initiatives raise public awareness, ...
A. Kalai Selvan and N. Sivakumaran of the Department of Instrumentation and Control Engineering & Head at the National Institute of Technology,in Tiruchirappalli, Tamil Nadu, India had two main objectives: the prediction of crime using ML models based on emotional data and the identification of ...
Deep Learning Model For Crime Prediction machine-learningdeep-learningheatmappredictioncrime-analysis UpdatedJun 7, 2021 Jupyter Notebook This Problem Data set of San Francisco Contains information about the crime in San Francisco, We are going to analyze the data, Visualize the data using folium map...
To automatically calculate the DeepMutation++ results from the generated prediction files, please run:python replication_scripts/calculate_deepmutationpp_results.pyThis script would produce a CSV file called 'deepmutationpp_results' in the 'Results' folder of the replication package....
Using Biblioshiny, the top cited documents, publishing journals, influential authors, countries, institutes, and their collaboration have been analyzed. In keyword analysis, it has been explored that Crime prediction and analysis using machine learning is the most advanced topic of research (Roy and ...
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with the
Specifically, we borrow methods from text mining and machine learning to examine whether crime events can be classified using text-based latent topic modeling (e.g., Blei 2012). Our approach hinges on the idea that the mixtures of behavioral and situational conditions underlying crime events that...
Consequently, we need to draw a clear distinction between using biometrics for identification, on the one hand, and as crime explanation and/or for crime prediction, on the other. Given this distinction it appears that emotional AI would be used for the latter as these technologies are used ...
(status='error',error_message=message)# Sets the status code to 400response.status_code=HTTP_BAD_REQUESTreturnresponsefeatures=[[Description]]predictions=MODEL.transform(features)label_pred=predictions.select("Description","Category","probability","prediction")returnjsonify(status='complete',label=label...