A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
Hydronic technicians have always been relying on their ears. Today, AI has brought those ears superhuman abilities, enabling ...
Abstract: Enhancing the accuracy of indoor visible light positioning systems with simple, real-time, and stable methods is one of the interesting challenges in recent ...
The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...
In the previous session on logistic regression, we learned how to "draw a boundary line to separate white from black." However, there is a more intuitive way for AI to make decisions: "looking at the ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Abstract: Hyperspectral images (HSI) contain abundant spectral information, but also exhibit significant redundancy. Therefore, selecting bands that possess high information content and low inter-band ...
Breast cancer diagnosis relies on imaging, yet conventional Doppler ultrasound possesses limitations in visualizing tumor microvasculature. This study aimed to compare Microvascular Flow imaging ...
Introduction Osteoarthritis is the second most prevalent musculoskeletal disorder and mostly affects hip and knee joints. Movement behaviours have been associated with the incidence of osteoarthritis.
Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...
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