It cannot be gainsaid that without a Proceeds of Crime Act (or a similar piece of legislation with a different title) the ...

In 2025, youth-led movements surged globally, challenging governments amid rising living costs, job insecurity, and ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Project Overdose is introducing an artificial intelligence tool that can alert communities about what potentially deadly ...

As the light dawns on a new year, business in Australia and abroad will need to adapt to an array of changing and emerging technologies and trends.

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

Data loss in financial services is a growing concern, with client identity theft being the fastest-growing crime globally. Data security firms offer loss policies to protect financial data and ...

The project uses Chicago crime data (Crimes_2001_to_Present.csv) to build a real-time intelligence platform designed for police operations and urban safety planning.

A comprehensive web application for analyzing and predicting crime patterns in Navi Mumbai using machine learning. This system helps law enforcement agencies and urban planners identify potential ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

1 Architectural and Civil Engineering, Jinken College of Technology, Nanjing, Jiangsu, China 2 College of Civil Engineering and Architecture, Xinjiang University, Urumqi, Xinjiang, China Therefore, ...