IEEE

Projected Gradient Descent-Based Dynamic Event-Triggered Optimal Control for MVDC-DS Considering Power Interaction Ability With AC Grid

Abstract: To avoid system failures in medium-voltage DC distribution system (MVDC-DS) caused by excessive power interactions with AC grid at a modest communication burden, this paper proposes a ...
IEEE

Machine Learning Models for Predicting Olympic Medal Outcomes

Abstract: In this paper, the prediction of Olympic medal winners has been explored using various machine learning models, utilizing a dataset spanning 128 years of Olympic history from 1896 to 2024.
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
GitHub

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction

In autonomous driving, understanding the 3D world over time is critical. Yet, most vision-based 3D Occupancy (VisionOcc) methods only scratch the surface of temporal fusion, focusing on simple ...