AI model development is evolving fast. Discover which countries are leading in 2025, how many notable AI models exist, and ...

A variety of supervised machine-learning algorithms such as RBF Kernel in SVM, Linear Kernel in SVM, Polynomial Kernel in SVM, Random Forest, Logistic regression classifier, Decision tree, Gradient ...

Although machine learning (ML) techniques have advanced malware detection, they remain vulnerable to adversarial attacks. Current research primarily focuses on adversarial examples targeting single ML ...

Several recent studies applied machine learning (ML) for DOM data evaluation, for example, the classification of DOM bioavailability and reactivity based on molecular formula data. (17,18) Regression ...

No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as ...