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

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...
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 ...
Tech Xplore

Avoiding marine collisions with system powered by radar and machine learning

Collisions between marine vessels and stationary structures, like offshore oil platforms and depleted wellheads, are becoming ...
Hosted on MSN

Study suggests humans can detect objects before touching them

A recent study from researchers at Queen Mary University of London and University College London has drawn attention after several international outlets reported that humans might sense objects before ...
IEEE

Machine Learning Based Object Detection and Voice Guidance Using Yolo Algorithm

Abstract: Machine learning is used now a days in multidiscipline. Vision based or image-based application is very popular in healthcare and human interaction. The proposed model of this article is ...
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 ...
C&EN

Smart and Low-Cost Flexible Strain Sensor Based on Graphene-MWCNT Porous Elastic Sponge for Home Control and Object Grasping Recognition Using Machine Learning

School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, P. R. China Guangdong Provincial Key Laboratory of Sensing ...
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 ...