Advancements in Artificial Intelligence forms such as computer vision, machine learning, and deep learning assist with ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...

Betting companies train machine learning programs to monitor players’ behaviour. AI technologies seem to have been integrated into every corner of our lives. Most businesses have jumped on the ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid ...