IEEE

Predictive Analysis of Network-Based Attacks by Hybrid Machine Learning Algorithms Utilizing Bayesian Optimization, Logistic Regression, and Random Forest Algorithm

Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...
IEEE

Data-Driven Cellular Mobility Management via Bayesian Optimization and Reinforcement Learning

Abstract: Mobility management in cellular networks faces increasing complexity due to network densification and heterogeneous user mobility characteristics. Traditional handover (HO) mechanisms, which ...
GitHub

davila7/claude-code-templates

Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your ...
marktechpost

How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
GitHub

EPTHenOpt: Heat Exchanger Network Synthesis and Optimization

EPTHenOpt is a powerful Python package designed for the synthesis and optimization of Heat Exchanger Networks (HEN). The goal of HEN synthesis is to design a network of heat exchangers that minimizes ...