Abstract: The traditional extreme learning machine (ELM) approach is based on a random assignment of the hidden weight values, while the linear coefficients of the output layer are determined ...

Abstract: The performance of data-driven fault diagnosis methods is often impeded by irrelevant and redundant information in high-dimensional data. To address this issue, this article proposes a fault ...

This Model Context Protocol (MCP) server lets you use Claude Desktop to interact with your task management data in Things 3. You can ask Claude or your MCP client of choice to create tasks, analyze ...

In a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...

College of Information Science, Zhejiang Open University, Hangzhou, China. With the rapid development of information technology and the widespread availability of the Internet, online learning has ...

Diagnosing the drowning site is a major challenge in forensic practice, particularly when corpses are recovered from flowing rivers. Recently, forensic experts have focused on aquatic microorganisms, ...

aSchool of Public Health, Imperial College London, London, UK bMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK cMRC Centre for Global infectious ...

Cold seeps occur globally in areas where gases escape from the seafloor, occasionally resulting in the formation of topographic depressions (pockmarks), characterised by unique physicochemical ...

Metabolomics characterizes metabolites with high-throughput techniques. Recently, liquid chromatography mass spectrometry (LC-MS) has become widely adopted by the metabolomics community as a powerful ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...