Abstract: Deep reinforcement learning (DRL) methods have been applied to power system problems in active distribution networks, including the inverter-based volt/var control (VVC). However, existing ...
Kimi Linear is a groundbreaking hybrid attention architecture that combines the best of both worlds: the efficiency of linear attention and the performance of full attention mechanisms. This ...
Abstract: Intrusion detection in Internet of things (IoT) networks is critical for safeguarding devices and communication infrastructures. This study investigates IoT intrusion detection using XGBoost ...
A comprehensive, professional-grade machine learning project demonstrating the complete CRISP-DM methodology. This repository contains a fully reproducible, production-ready pipeline for multi-class ...
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