Abstract: This paper reviews the research progress of deep learning-based household waste classification algorithms. It first introduces the importance of household waste classification and the ...

Abstract: Feature selection (FS) is a significant research topic in machine learning and artificial intelligence, but it becomes complicated in the high dimensional search space due to the vast number ...

The U.S. Postal Service in Vermont has quietly changed how mail is processed, slowing delivery speeds. Vermont is now part of the Regional Transportation Optimization strategy, ending evening ...

Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...

This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...

Your browser does not support the audio element. TL;DR: Caching bit shifts looks smart but makes code up to 6× slower. Modern CPUs and compilers make direct ...

Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States Department of Chemistry, Rice University, Houston, Texas 77005, United States Department of ...

What if the key to unlocking the full potential of your AI-powered workflows lies not in adding more tools but in optimizing the ones you already have? For developers and teams using Claude Code, the ...

Objective: This study evaluated the diagnostic accuracy of the 2012 SLICC and 2019 EULAR/ACR criteria in Chinese cSLE patients and aimed to develop an optimized classification schema based on the 2019 ...