A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting ...

This project applies Naive Bayes classification to a real-world dataset containing audio features of Spotify songs, with the goal of predicting whether a song is a hit based on its measurable ...

Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a ...

In the machine learning (ML) classification phase, we utilized various algorithms such as Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), Bernoulli's Naïve Bayes (BNB), Decision Tree (DT) ...

[4] Intrusion Detection System for IoT-based Healthcare Intrusions with Lion-Salp-Swarm-Optimization Algorithm: Metaheuristic-Enabled Hybrid Intelligent Approach ...

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Boost your understanding of the terms and concepts associated with this high-speed data ...

Firstly, a faulty feeder identification algorithm based on a Bayesian classifier is proposed. Three characteristic parameters of the RGS (the energy ratio, impedance factor, and energy spectrum ...