GitHub

A minimal, runnable demonstration comparing control-based branching and structure-based invariants that produce the same numerical result.

Encodes stability directly into the update rule so invalid states are unreachable by construction. The point is not performance, optimization, or cleverness. The point is to contrast control with ...

Social media feeds: Algorithm redesign could break echo chambers and reduce online polarization

Scroll through social media long enough and a pattern emerges. Pause on a post questioning climate change or taking a hard ...
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 ...
Frontiers

Graph Learning and Deep Unfolding for Electromagnetic Field Modelling and Antenna Systems

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
IEEE

Advancing Frequency Line Extraction Algorithm Through Low-Rank and Sparse Matrix Decomposition and Sliding Windowed Fusion Frame

Abstract: The frequency line is an important basis for the correlation and identification of underwater targets. However, how to accurately extract frequency line information from the interference of ...
IEEE

Transmission Line Fault Detection Algorithm and Intelligent Operation and Maintenance Platform Based on Deep Learning

Abstract: This paper proposes a fault detection algorithm and intelligent operation and maintenance platform based on deep learning to address the problems of low efficiency and insufficient accuracy ...