Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
IEEE

Selection of Kernel Function for Least Squares Support Vector Machines in Downburst Wind Speed Forecasting

Abstract: In recent years, kernel machine learning algorithm (e.g. least square support vector machine, LSSVM) is a commonly method for time series prediction, as the main unit, the type of kernel ...
Nature

IoT-enabled hybrid Slime Mould Algorithm-Support Vector Machine model for early detection of cardiovascular diseases

Early detection is critical to improving outcomes across many diseases, yet cliniciansmust rapidly interpret heterogeneous signals, reports, and images. Automated analysis helps uncover subtle ...
HotHardware

What Delay? Valve Adds Steam Machine Support To SteamOS In New Preview

Valve continues to inch toward the inevitable Steam Machine release confirmed for this year, now by adding "initial support" for the hardware in the latest SteamOS preview update. That's the most ...
PC World

Valve’s Steam Machine is still MIA, but SteamOS gets ‘initial support’

PCWorld reports that Valve’s Steam Machine, a Linux-powered PC, faces delays until 2026 due to component procurement challenges and a RAM crisis. SteamOS 3.8.0 preview now includes initial support for ...
Scientific Research Publishing

Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C. and Johannes, R.S. (1988) Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus.

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
Nature

Support vector machine algorithm-based wearable device in sports rehabilitation training for people with disabilities

With the integration of information technology and biomedical engineering, wearable devices have had a significant impact on modern medical care, health, and rehabilitation training. Wearable devices, ...
EurekAlert!

SUANPAN: Scalable Photonic Linear Vector Machine

Artificial intelligence is currently an active topic in both scientific research and commercial application as well as daily life. The linear operations of high-dimensional vectors are fundamental and ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
GitHub

asvtools - Arnoldi Singular Vector Perturbations for Machine Learning Weather Prediction

This is the repository directly corresponding to the Arnoldi Singular Vector (A-SV) perturbation approach Arnoldi Singular Vector perturbations for machine learning weather prediction, arXiv preprint: ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...