Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

This document covers the very basic documentation of the library. The Java Machine Learning Library is licensed under GNU-GPL. updates: -- 2016/03/03 moved to github.com -- Still working to split GPL ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

The advancement of cell therapy and cellular agriculture underscores the need for noninvasive, cost-effective methods for continuous monitoring of large-scale cell production. Bioreactors, designed to ...

Abstract: Classifying heartbeat sounds is a critical step in improving cardiovascular diagnostics, especially as reliance on traditional stethoscope assessments can be limited by human subjectivity.

Background National-level coverage estimates of maternal and child health (MCH) services mask district-level and community-level geographical inequities. The purpose of this study is to estimate ...

While an increasing number of companies are investing in AI, many are struggling to get AI-powered projects into production — much less delivering meaningful ROI. The challenges are many. But a ...

Hammerspace unveiled its new high-performance NAS architecture, Hyperscale NAS, to cater to the growing demands of enterprise AI, machine learning, deep learning initiatives, and the increasing use of ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acssuschemeng.3c04415. Details on ML algorithms used in WEKA 3.8.5; X-ray ...