In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...
The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly ...
Today’s sharing is: Architect 2025 Season One The report totals: 383 pages Agentic AI Leads the Reconstruction of Software ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...
Information collected during the yearslong Salt Typhoon attack could allow Beijing’s intelligence services to track targets from the United States and dozens of other countries. By Adam Goldman ...
Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...
This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine Learning Force Fields (MLFFs) promise to enable general molecular simulations ...
Generalize Hopfield-like neural networks using a deformed maximum entropy principle. Exhibit explosive transitions, multi-stability, and memory capacity enhancements. Are analytically tractable via ...
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