Using Machine Learning Data to Achieve Sustainability, Performance and Governance Goals

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment ...

Scientists discover that humans have a hidden 'seventh sense'

Sand has a memory of sorts. Press into a loose pile of dry grains and something moves, not just where your finger sits, but ...
IEEE

Detection and Classification of Irregularly Shaped Objects using Machine Learning Algorithms for Improved Accuracy

Abstract: The aim of this research is to improve accuracy and efficiency with regard to product defect detection using a deep learning based hybrid model. It combines preprocessing, segmentation, ...
earth

Humans can detect buried objects without touching them

People can use remote touch to sense a hidden object buried under sand. The effect extends nearly 2.76 inches (7 centimeters) from the target. A London team ran precise experiments showing this remote ...
The Conversation

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

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
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 ...
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 ...