The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Abstract: This project explores the creation of a machine object based on learning recognition system to increase accessibility for those with visual impairments. The system recognises and classifies ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

Abstract: Classification is an important problem in artificial intelligence. In this work, a novel optimized projection based support tensor machine (OPSTM) has been presented for recognition of ...

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 ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Interdisciplinary Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States School of Chemistry and Biochemistry, Georgia Institute of ...

Introduction: There has been an increasing focus on object segmentation within remote sensing images in recent years due to advancements in remote sensing technology and the growing significance of ...