IEEE

Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network

Abstract: Human motor learning is a neural process essential for acquiring new motor skills and adapting existing ones, which is fundamental to everyday activities. Neurological disorders such as ...

Gigasoft Solves AI's Biggest Charting Code Problem: Hallucinated Property Names

Gigasoft recommends Claude Opus 4.6 Extended with the Projects feature for the best results. With ProEssentials knowledge files loaded, Claude can answer technical support questions and write ...
Dot Physics on MSN

Creating animated graphs using VPython Glowscript for visualizations

Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...

Gigasoft Publishes 2026 WPF Chart Comparison: ProEssentials, SciChart, LightningChart, Syncfusion, DevExpress

Gigasoft releases ProEssentials v10 with GPU compute shaders and publishes six-part WPF chart library comparison for ...
IEEE

Detection of Malicious Clients in Federated Learning Using Graph Neural Network

Abstract: Federated Learning (FL) facilitates decentralized model training without the exchange of raw data, thereby guaranteeing privacy. However, due to its distributed nature, this paradigm is ...
GitHub

ExpNo 4 : Implement A* search algorithm for a Graph

To ImplementA * Search algorithm for a Graph using Python 3. To Implement A * Search algorithm for a Graph using Python 3. -````` -// A* Search Algorithm 1. Initialize the open list -2. Initialize the ...
GitHub

ExpNo 3 : Implement Breadth First Search Traversal of a Graph

A Boolean visited array is used to mark the visited vertices. For simplicity, it is assumed that all vertices are reachable from the starting vertex. BFS uses a queue ...