Researchers, including the University of Tennessee, Knoxville’s Belinda Akpa, are using predictive modeling and machine ...

Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...

Abstract: In this paper, a model predictive based minimum DC-link voltage control (MP-mDVC) method is proposed to enhance both the reliability and dynamic performance of grid-connected converters ...

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

Lethal tank and Bradley crews will be critical in the next conflict. This research dives deep into what separates successful tank and Bradley crews at Gunnery Table 6 to identify the critical factors ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

ABSTRACT: The incorporation of Artificial Intelligence (AI) in e-commerce is revolutionizing financial processes, customer interaction, and strategic decision-making. This study assessed the influence ...

Neuropsychiatric disorders are highly prevalent worldwide, significantly impairing cognition, emotional regulation, and social functioning. However, their diagnosis still largely relies on subjective ...