Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

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 ...

A comprehensive machine learning solution for predicting productivity in garment manufacturing facilities using historical production data. This project enables factory managers to optimize resource ...

Turkish Sentiment Analysis is a deep learning-based model for classifying Turkish text into sentiment categories (Positive, Negative, Neutral). The model uses a fine-tuned BERT transformer with LoRA ...

Abstract: For distributed-drive electric vehicles, torque vectoring control based on model predictive control (MPC) has emerged as a preferred strategy to achieve superior performance across diverse ...