Machine learning and microscopy solve 170-year-old mystery of premelting ice

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
Security Info Watch

AI and Machine Learning in Security: Building Smarter, Integrated Systems for a Safer Future

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
EurekAlert!

Eyes for an agricultural robot: AI system identifies weeds in apple orchards

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

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 ...
Hosted on MSN

AI as a safeguard: Using machine learning to detect problem gambling and fraud

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 ...
IEEE

Detection, classification and identification of objects in underwater harsh environments using machine learning

Abstract: Detection, classification and identification of underwater objects are both complex and essential tasks for perception and navigation of Autonomous Underwater Vehicles (AUVs) and Remotely ...
Scientific Research Publishing

Trigka, M. and Dritsas, E. (2025) A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection. Sensors, 25, Article 214.

ABSTRACT: 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 ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

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 ...
Frontiers

Deep learning-based object detection for environmental monitoring using big data

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
Frontiers

A machine learning-based detection, classification, and quantification of marine litter along the central east coast of India

Globally, the growth of plastic production has increased exponentially from 1.5 million metric tons (Mt) in 1950 to 400.3 Mt in 2022, resulting in a substantial increase of marine litter along the ...