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 ...
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 ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
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 ...
Ecole Nationale Supérieure Polytechnique, Université Marien Ngouabi, Brazzaville, Republic of Congo. The rapid adoption of Artificial Intelligence (AI) systems in critical sectors of society has given ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback