Three researchers from the Faculty of Humanities, Communication and Documentation at the Carlos III University of Madrid ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Abstract: Road network information is a core component of online maps and plays a crucial role in navigation, urban planning, and traffic management. Convolutional neural networks (CNNs) have ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Several veteran correspondents questioned how Ms. Weiss, the new CBS News editor in chief, had handled the segment, after she defended her decision on a call with the newsroom. By Michael M. Grynbaum ...

Objective To assess the capability of a convolutional neural network trained by transfer learning on anterior segment optical coherence tomography (AS-OCT) images, Placido-disk corneal topography ...

Abstract: Graph neural networks (GNNs) have emerged as a popular solution for missing value imputation. Nevertheless, traditional GNNs consume a significant amount of memory when processing long time ...

1 The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China 2 College of Information Engineering, Henan University of Science and ...

Introduction: The world’s population has been increasing continuously, and this requires prompt action to ensure food security. One of the top five cereals produced worldwide, sorghum, is a staple of ...