The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...
Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...
Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and ...
Through his data-driven approach, Samuel delivered $2 million in incremental annual revenue — a remarkable 15% boost to the business unit’s performance. This wasn’t achieved through a single ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
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