GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
IEEE

Latency Minimization for IRS-enhanced Wideband MIMO-OFDM MEC Networks with Practical Reflection Model

Abstract: Intelligent reflecting surface (IRS) has been considered a promising technology to be applied to mobile edge computing (MEC) systems, especially when offloading links are blocked or weak.
GitHub

model-context-protocol

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for ...
IEEE

Multiepoch Grid-Based 3DMA Positioning in Dense Urban Canyons by Optimizing Reflection Modeling

Abstract: Urban positioning with global navigation satellite systems (GNSSs) poses a significant challenge due to signal reflections, diffractions, and obstructions caused by surroundings. These ...
CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...
Scientific Research Publishing

Van-der-Merwe, A.J. and Botha, T.J. (1993) Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler. South African Statistics Journal, 27, 149-180.

ABSTRACT: This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models ...