Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …

The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Udegbe, Ebulue, Ebulue, & Ekesiobi, P. 892-902 Page 893 leveraging the capabilities of
ML, the drug discovery process can be significantly accelerated, paving the way for the …

Cardiovascular diseases (CVDs) are main causes of death globally with coronary artery
disease (CAD) being the most important. Timely diagnosis and treatment of CAD is crucial to …

Precision medicine uses genetic, environmental and lifestyle factors to more accurately
diagnose and treat disease in specific groups of patients, and it is considered one of the …

The simulation of human intelligence in robots that are designed to think and learn like
humans is known as artificial intelligence (AI). AI is creating a world that has never been …

The aim of this study was to determine which supervised machine learning (ML) algorithm
can most accurately classify people with Parkinson's disease (pwPD) from speed-matched …

Abstract Machine learning (ML) is a sub-field of artificial intelligence that uses computer
algorithms to extract patterns from raw data, acquire knowledge without human input, and …

Condition monitoring and fault detection for wind turbines (WTs) can effectively lower the
effect of failures. A large amount of data would be generated during the operation of WTs …

Smart grids are able to forecast customers' consumption patterns, ie, their energy demand,
and consequently electricity can be transmitted after taking into account the expected …