GraGR: Gradient-Guided Graph Reasoner GraGR is a comprehensive gradient-guided graph reasoning framework that addresses gradient conflicts in graph neural networks through systematic conflict ...

Abstract: With the advent of the era of big data, intelligent algorithms such as deep learning have played an increasingly important role in the operation and maintenance of manufacturing equipment, ...

GAPrune is a novel pruning framework for domain-specific pruning of embedding models. It preserves both general linguistic foundations and domain-specific ...

The AgentCore MCP server offers built-in support for runtime, gateway integration, identity management, and agent memory.

3rd Generation Partnership Project,Actor Network,Ad Hoc Networks,Capabilities Of Devices,Communication Links,Constrained Optimization,Control Network,Convolutional Neural Network,Critic Network,Deep ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Two-dimensional liquid chromatography (2D-LC) improves chromatographic performance, with LCxLC providing extensive ...

Pockmark development and slope instability are key geological processes shaping the continental slope. In this study, high-resolution multibeam data, subbottom profiles, and a reprocessed ...

Master Thesis / Internship - Energy Forecasting The Dutch electricity grid is under huge pressure due to rapid electrification and the growth of renewable energy sources, resulting in increasing grid ...

Strong and temporally precise coupling between frontal slow oscillations and fast spindles consistently predicts memory retention across conditions, supporting its role as a fundamental mechanism in ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). A line of best fit is a form of regression analysis that shows the relationship ...