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 ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
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 ...
Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine ...
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 ...
The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
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