Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...

Solution, is now a qualified solution on Mayo Clinic Platform, marking a major milestone in the company’s eight-year journey ...

Abstract: All the symptoms have been analyzed using several machine learning algorithms for diagnosing breast cancer. This paper utilizes the Breast Cancer Wisconsin (Diagnostic) data set to show how ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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 ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...