EurekAlert!

AI surpasses mathematical limits to decode the mysteries of non-Hermitian topology

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
IEEE

Machine Learning-Based Classification of Suspension Droplet-Solid Wall Impacts for Control of Droplet Fragmentation

Abstract: This study explores the collision of suspension droplets against solid dry surfaces (substrates). It applies and compares multiple machine learning (ML) models for the classification of ...
Los Angeles Times

Inside ‘The Smashing Machine’s’ brutal fight scenes

This is read by an automated voice. Please report any issues or inconsistencies here. If you came out of “The Smashing Machine” thinking “that must have hurt,” it was by design. Director Benny Safdie ...
Frontiers

Development of machine learning predictive model for type 2 diabetic retinopathy using the triglyceride-glucose index explained by SHAP method

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
The American Journal of Managed Care

Changing Tumor Classifications May Explain Rise in Early-Onset CRC

Changes in NEN classification in 2013 may partly explain the rise in EOCRC incidence, with NEN rates surging before 2013 and declining thereafter. EOCRC incidence increased among individuals aged 15 ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
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Logistic Regression in Machine Learning Explained with a Simple Example

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...