In recent years, distributed multi-agent systems (MAS) have gained significant attention across robotics, autonomous vehicles ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
At SC25, OSS will highlight a comprehensive portfolio of enterprise-class compute and storage solutions, featuring the Company’s groundbreaking Gen6 PCIe Express external cable adapters, ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Abstract: Serverless computing has shown vast potential for big data analytics applications, especially involving machine learning algorithms. Nevertheless, little consideration has been given in the ...
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LEGO Candy Machine Tutorial
Step by step tutorial on how to build a LEGO vending machine using standard bricks. This guide explains the full construction process with a simple manual dispenser that releases small items like ...
Abstract: In this paper, we investigate the problem of distributed learning (DL) in the presence of Byzantine attacks. For this problem, various robust bounded aggregation (RBA) rules have been ...
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
This repository contains the final project of my Data Science course. The project involved developing a machine learning model that predicts the cost of public sector projects in the UK. The focus is ...
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