Frontiers

Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
TMCnet

KDAN Launches New Brand Identity, Redefining the Role of Intelligent Documents in the AI Era

IRVINE, Calif., Oct. 28, 2025 /PRNewswire/ -- KDAN (TPEx: 7737), a leading global Software-as-a-Service (SaaS) provider, today unveiled its new brand identity, unifying all business solutions under ...
IEEE

Machine Learning for Traffic-Driven Services Provisioning in Optical Networks

Abstract: The increasing demand for high-capacity and dynamic services in optical networks necessitates intelligent and adaptive provisioning mechanisms. This study investigates the application of ...
IEEE

CLPM: A Hybrid Network With Cross-Space Learning and Perception-Driven Mechanism for Long-Tailed Remote Sensing Image Classification

Abstract: Long-tailed distribution is a common issue in remote sensing image classification (RSIC), and many datasets suffer from severe class imbalance. This imbalance often causes the classifier to ...
Electronic Design

AI Adoption in Process Control Won’t be Instantaneous But Prepare Anyway

AI buzz is everywhere. Take a look at how you can begin to prepare for the future of process-control AI by following these ...