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 ...
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 ...
Fox News

Slot machines have become mobile and sentient, proving end times are near

I used to laugh when people would say things like "gambling is becoming a real problem in this country." I mean, sure, it probably isn't the best thing to get addicted to, but back in my day you used ...
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 ...
Education Next

Colleges Are Closing. Who Might Be Next?

Northland College in Ashland, Wisconsin, held its final commencement ceremony in 2025 before closing permanently due to financial challenges and declining enrollment. The college had been in operation ...
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, ...
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 ...
Frontiers

Construction of diagnostic and prognostic models for premature coronary artery disease based on multiple machine algorithms

To evaluate the diagnostic and prognostic predictive value of the pan-immune-inflammation value (PIV) and triglyceride-glucose (TyG) index in premature coronary artery disease (PCAD). This study ...
AZOM

Fast Forecasting Algorithm for Karl Fischer Titration

The method has maintained its position as the gold standard for water determination due to its specificity, precision, dependability, and speed. Water, iodine, sulfur dioxide, and a base are reacted ...