Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

INTRODUCTION - Over the past few decades, the importance of data has grown dramatically. Deemed “the new oil”1 in 2006, today data ...

In scientific research, correct labeling is paramount for ensuring the accuracy, reliability, and traceability of experiments and results. A "correct label" in this context refers to any tag, ...

From Climate Finance and Carbon Credits to Crypto Trading, Real-Time Verification, and Machine-Audited Systems ...

A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are ...

In the field of paediatrics, the concept of normal (ie, typical)—in contrast to different, special, deviant, delayed, or ...

Smaller, sharper, and wiser: Optical sensors now analyze everything from blood to air, thanks to advances in AI and smart ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Automakers face higher costs from US port fees, car carrier Wallenius Wilhelmsen warns Automakers transporting their cars to the U.S. could face $200 to $300 per vehicle in additional costs, the CEO ...

At NovaKart Retail a lead data scientist must deliver a production grade generative AI application that ... A research team at BrightVerge Labs ingests about 36 TB of raw text each week from PDF files ...

Objectives To characterise the aetiological spectrum of thoracic granulomatous diseases and identify diagnostic features that facilitate differentiation among causes. Design Retrospective multicentre ...