A Neovim file picker that learns how you navigate. A neural network trains on your file selections to rank results by what you're most likely to open next, combining fuzzy matching with contextual ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

The change is part of a deal to bring TikTok under U.S. ownership to avert a looming ban. By Emmett Lindner and Lauren Hirsch The software giant Oracle will oversee the security of Americans’ data and ...

This repository provides implementation for SNBO (Scalable Neural Network-based Blackbox Optimization) — a novel method for efficient blackbox optimization using neural networks. It also includes code ...

Abstract: Accurate internet traffic prediction is a key challenge in managing next-generation networks such as 6G. This paper presents a novel approach based on Graph Neural Networks (GNNs) for ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

Abstract: In the application research of nonlinear prediction, BP neural network prediction model with simple structure and powerful function has been widely used. About the local optimization ...