Results 51 to 60 of about 9,406 (253)
Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities
The COVID-19 pandemic is strongly affecting many aspects of human life and society around the world. To investigate whether this pandemic also influences crime, the differences in crime incidents numbers before and during the pandemic in four large ...
Miaomiao Hou +3 more
doaj +1 more source
Review of Current Crime Prediction Techniques [PDF]
Police analysts are requiredto unravel the complexities in data to assist operational personnel in arresting offenders and directing crime prevention strategies. However, the volume of crime that is being committed and the awareness of modern criminals make this a daunting task.
Vikas Grover +2 more
openaire +1 more source
Predicting Crime Using Spatial Features [PDF]
Our study aims to build a machine learning model for crime prediction using geospatial features for different categories of crime. The reverse geocoding technique is applied to retrieve open street map (OSM) spatial data. This study also proposes finding hotpoints extracted from crime hotspots area found by Hierarchical Density-Based Spatial Clustering
Fateha Khanam Bappee +2 more
openaire +2 more sources
Moving beyond neurophobia to cultivate the neuroquisitive learner
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel +1 more
wiley +1 more source
Crime and violation are the threat to justice and meant to be controlled. Accurate crime prediction and future forecasting trends can assist to enhance metropolitan safety computationally. The limited ability of humans to process complex information from
Wajiha Safat +2 more
doaj +1 more source
This paper considered the emerging use of predictive analytics in the justice domain with respect to potential bias. It discussed predictive algorithms and methods from the perspectives of reported crime and community safety in the United States. Although predictive algorithms, techniques, and implementation contexts are emerging, imperfection exists
David H. McElreath +2 more
openaire +1 more source
Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley +1 more source
ABSTRACT Irritability is a prevalent and impairing feature associated with autism, yet remains poorly understood, particularly in adults. Drawing heavily on insights translated from pediatric and transdiagnostic literatures, we propose that irritability in autistic individuals often reflects a psychophysiological stress or threat response, rooted in a ...
Hsiang‐Yuan Lin +3 more
wiley +1 more source
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman +6 more
doaj +1 more source
Crime Prediction Using Twitter Sentiments and Crime Data
The incidence of crime is now of great concern globally. The culprits change their tactics on a regular basis. These crimes affect persons, groups, and the government to the extent a whole lot of budgets are allocated to serve as preventive measure to these crimes.
Gbadegesin Adetayo Taiwo +2 more
openaire +1 more source

