Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
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 ...
Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
The Industry Immersion Fellowship at Volvo Group is a unique program that enables university faculty and post-doctoral ...
Quantum computing has long held promise as the next era in information processing, with applications in drug discovery, finance, and encryption. But it’s only in recent years that the technology has ...
Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
Department of Laboratory Medicine, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Core Unit of National Clinical Research ...
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