A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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 ...
Abstract: We consider a classification problem wherein the class features are not given a priori. The classifier is responsible for selecting the features, to minimize the cost of observing features ...
A suite of ML models—Logistic Regression, Random Forest, KNN, SVM, Gaussian Naive Bayes—was used to predict patient readmission. (1) Rasoul Samani, School of Electrical and Computer Engineering, ...
An official report into last year’s yacht tragedy, which killed seven, found that the boat could easily capsize in high winds. Its towering mast made it more vulnerable. By Jeffrey Gettleman and James ...
Abstract: This paper presents a naive Bayesian recognition and classification method based on extended Kalman filter, designed for multi-target tracking scenarios using multiple radars. The approach ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
The probability is calculated by means of Kernel Density Estimation (KDE). The probability for each class does not use all variables, but only those that are relevant for each specific class. From the ...
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