Effective cobot safety combines collision detection and avoidance, enhancing human-robot collaboration through advanced sensing and adaptive planning.
The Iranian government uses the threat of sea mines to control access to the Strait of Hormuz, a narrow sea lane that is ...
In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.
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.
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 ...
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 ...
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 ...
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 ...
Copyright: © 2025 The Authors. Published by Elsevier Ltd. Image classification algorithms were trained on 8283 manually labeled food package images, annotated and ...
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