AZoRobotics

Machine Learning Predicts Toxic Metal Levels in Marine Systems

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

AI for molecular simulations may not need built-in physics to deliver strong results

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
Devdiscourse

AI reveals which water is safe for irrigation and which isn’t

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...
Devdiscourse

High-accuracy AI models improve IoT threat detection

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...
Frontiers

Computational Intelligence for Multimodal Biomedical Data Fusion

The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
EurekAlert!

PhytoCell: An ensemble learning framework for identifying cell states in plant scRNA-seq data

With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual ...
EurekAlert!

Institute of Industrial Science, The University of Tokyo and George Mason University scientists mine past air temperature forecasts, lower cost with greater subseasonal ...

Researchers at Institute of Industrial Science, The University of Tokyo  and George Mason University‘s College of Science have developed a new method that improves air temperature forecasts one to ...
Phys.org

AI model improves flood forecasting with higher accuracy than current methods

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
ctemag

Methods Machine Tools names new VP of Aftermarket

Methods Machine Tools Inc., A supplier of machine tools and automation solutions, has hired Jon Casten as Vice President of Aftermarket. Casten, who has more than 25 years of experience leading ...
Frontiers

An explainable ensemble machine learning model using baseline blood transcriptomics to predict Parkinson's disease motor progression

Predicting Parkinson's disease (PD) motor progression remains challenging despite advances in neuroimaging. Blood-based transcriptomic profiling offers a more accessible and cost-effective alternative ...
Scientific Research Publishing

Dietterich, T.G. (2000) Ensemble Methods in Machine Learning. First International Workshop, MCS 2000, Cagliari, 21-23 June 2000, 1-15.

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...