IEEE

An Improved Method Based on Support Vector Regression With Application Independent Training for State of Charge Estimation

Abstract: Nowadays, lithium-ion (Li-ion) is among the most used chemistry for batteries and shows an increasing market growth rate; however, to reduce failure or safety risks, the battery ...
GitHub

SAS Event Stream Processing Studio Examples

This repository provides XML code examples that use SAS Event Stream Processing to process real-time streaming data. Project code is written to run in SAS Event Stream Processing Studio. Use these ...
unite

Demystifying Quantum AI: What It Is, What It Isn’t, and Why It Matters Now

AI has entered a new phase. It is no longer just about building larger models or accessing more data. Today’s competition centers on speed, efficiency and innovation. Companies are seeking new tools ...
Nature

Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm

To analyze facial thermal biomarkers of sportsperson, irrespective of environmental conditions such as day and night using proposed Thermal Facial Sports Person (TFSP) dataset. To enhance, de-noise ...
The Lancet

Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the US

aDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA bDepartment of Medicine, Penn State College of Medicine, Hershey, PA, USA ...
Nature

Evaluating algorithms of decision tree, support vector machine and regression for anode side catalyst data in proton exchange membrane water electrolysis

In recent years, concerns about global warming and its various environmental impacts, such as polar ice melting, acid rain, and rising sea levels, have become a primary focus for scientists. These ...
The Lancet

Application of artificial intelligence and machine learning for HIV prevention interventions

aSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA bDepartment of Health Promotion and Behavioral Sciences, School of Public Health, The ...
Scientific Research Publishing

Machine Learning Approaches to Predict Loan Default ()

Loan lending plays an important role in our everyday life and powerfully promotes the growth of consumption and the economy. Loan default has been unavoidable, which carries a great risk and may even ...
Frontiers

Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield

Prediction of crop yield is an essential task for maximizing the global food supply, particularly in developing countries. This study investigated lettuce yield (fresh weight) prediction using four ...
Frontiers

Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women

In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored ...
BMJ

Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as ...

1 Health e-Research Centre, Health Data Research UK North, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, Manchester M13 9PL, UK 2 Centre for ...