Results 31 to 40 of about 9,406 (253)
Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques*
This paper presents a new approach to crime hotspot detection and monitoring. The approach consists of three phases’ namely: video analysis, crime prediction and crime mapping.
Zou Beiji +3 more
doaj +1 more source
Heritage crimes can result in the significant loss of cultural relics and predicting them is crucial. To address the issues of inconsistent textual information format and the challenge of preventing and combating heritage crimes, this paper develops a ...
Hongyu Lv +4 more
doaj +1 more source
Crime Prediction Using Hotel Reviews? [PDF]
Can hotel reviews be used as a proxy for predicting crime hotspots? Domain knowledge indicates that hotels are crime attractors, and therefore, hotel guests might be reliable “human crime sensors”. In order to assess this heuristic, we propose a novel method by mapping actual crime events into hotel reviews from London, using spatial clustering and ...
Panos Kostakos 0001 +3 more
openaire +2 more sources
Health disparities in chronic liver disease
Abstract The syndemic of hazardous alcohol consumption, opioid use, and obesity has led to important changes in liver disease epidemiology that have exacerbated health disparities. Health disparities occur when plausibly avoidable health differences are experienced by socially disadvantaged populations.
Ani Kardashian +3 more
wiley +1 more source
Tpy–Zn complexes serve as versatile building blocks for the modular assembly of functional materials, including polymers, gels, MOFs, cages, and composites through programmed noncovalent interactions, empowering practical applications in visual molecular recognition, smart functional materials, and photocatalytic transformations. ABSTRACT As one of the
Lixin Duan +4 more
wiley +1 more source
Applied Machine Learning in Social Sciences: Neural Networks and Crime Prediction
This study proposes a crime prediction model according to communes (areas or districts in which the city of Buenos Aires is divided). For this, the Python programming language is used, due to its versatility and wide availability of libraries oriented to
Ricardo Francisco Reier Forradellas +3 more
doaj +1 more source
Crime event prediction with dynamic features [PDF]
Abstract Nowadays, Location-Based Social Networks (LBSN) collect a vast range of information which can help us to understand the regional dynamics (i.e. human mobility) across an entire city. LBSN provides unprecedented opportunities to tackle various social problems.
Shakila Khan Rumi +2 more
openaire +2 more sources
Chinese Trade Competition and Rural Mexican Migration
ABSTRACT China's accession to the World Trade Organization in 2001 reshaped global trade, reducing U.S. demand for Mexican manufactured goods and weakening Mexico's manufacturing employment. This study estimates how this trade‐induced decline affected migration and employment decisions among rural Mexicans.
Zachariah Rutledge, Joaquin Mayorga
wiley +1 more source
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks
Crime activity in many cities worldwide causes significant damages to the lives of victims and their surrounding communities. It is a public disorder problem, and big cities experience large amounts of crime events.
Nicolas Esquivel +3 more
doaj +1 more source

