https://www.mdpi.com/2071-1050/14/23/15609
Machine Learning Prediction Model for Shear Capacity of FRP-RC Slender and Deep Beams
FPR reinforcing bars have emerged as a promising alternative to steel bars in construction, especially in corrosive environments. Literature includes several...
machine learning prediction
https://www.jmir.org/2022/12/e42163/authors
Journal of Medical Internet Research - Interpretable Machine Learning Prediction of Drug-Induced QT...
Background: Drug-induced long-QT syndrome (diLQTS) is a major concern among patients who are hospitalized, for whom prediction models capable of identifying...
machine learning predictionjournal ofinternet research
https://www.mdpi.com/2073-4360/17/12/1622
Interpretable Machine Learning Prediction of Polyimide Dielectric Constants: A Feature-Engineered...
Low-dielectric polyimides (PIs) have emerged as essential materials for next-generation microelectronics and communication technologies, yet traditional...
machine learning predictiondielectric constants
https://www.jmir.org/2021/2/e24246/authors
Journal of Medical Internet Research - A Machine Learning Prediction Model of Respiratory Failure...
Background: Predicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce...
machine learning predictionjournal ofinternet research
https://www.mysql.com/cn/why-mysql/case-studies/aicoll-improves-loan-default-prediction-machine-learning-models-mysql-heatwave.html
MySQL :: Aicoll Improves Loan Default Prediction using machine learning models in MySQL HeatWave
machine learning modelsloan default
https://deepai.org/publication/machine-learning-enabled-scalable-performance-prediction-of-scientific-codes
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes | DeepAI
Oct 8, 2020 - 10/08/20 - We present the Analytical Memory Model with Pipelines (AMMP) of the Performance Prediction Toolkit (PPT). PPT-AMMP takes high-leve...
machine learningperformance predictionenabledscalablescientific
https://www.preprints.org/manuscript/202404.0525
Assessing the Predictive Power of Machine Learning Models for Wind Speed Prediction under Different...
The main source of electricity worldwide stems from fossil fuels, contributing to air pollution, global warming, and associated adverse effects. This study...
https://www.kth.se/math/kalender/lei-sun-prediction-of-non-life-cancellation-rates-with-machine-learning-1.1353874?date=2024-09-04&orgdate=2024-02-13&length=1&orglength=0
Lei Sun: Prediction of Non-life Cancellation Rates with Machine Learning | KTH
lei sunnon life
https://www.mdpi.com/1424-8220/23/3/1074
Suitability Analysis of Machine Learning Algorithms for Crack Growth Prediction Based on Dynamic...
Machine learning has the potential to enhance damage detection and prediction in materials science. Machine learning also has the ability to produce highly...
machine learning algorithms
https://www.mdpi.com/1424-8220/20/17/4786
Chaotic Ensemble of Online Recurrent Extreme Learning Machine for Temperature Prediction of Control...
Control moment gyroscopes (CMG) are crucial components in spacecrafts. Since the anomaly of bearing temperature of the CMG shows apparent correlation with...
extreme learning machineensemble of
https://www.mdpi.com/2071-1050/12/20/8298
An Improved Hybrid Highway Traffic Flow Prediction Model Based on Machine Learning
For intelligent transportation systems (ITSs), reliable and accurate real-time traffic flow prediction is an important step and a necessary prerequisite for...
highway traffic
https://www.mdpi.com/2071-1050/15/6/4930
Data-Driven Diabetes Risk Factor Prediction Using Machine Learning Algorithms with Feature...
As type 2 diabetes becomes more prevalent across the globe, predicting its sources becomes more important. However, there is a big void in predicting the risk...
machine learning algorithmsdata drivendiabetes risk