AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
IEEE

Machine Learning for Online Transient Stability Assessment

Abstract: This paper establishes a benchmark for machine learning (ML) applications in transient stability assessment (TSA) by evaluating 17 models across diverse scenarios. The experimental results ...
GitHub

LST-AI - Deep Learning Ensemble for Accurate MS Lesion Segmentation

Welcome to our codebase for LST-AI, the deep learning-based successor of the original Lesion Segmentation Toolbox (LST) by Schmidt et al. LST-AI was collaboratively developed by the Department of ...
IEEE

A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method

Abstract: The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of ...
The Hollywood Reporter

‘The Python Hunt’ Review: One Invasive Species Pursues Another in a Quirky Doc About Snake-Chasing Florida Tourists

Xander Robin's SXSW-premiering documentary is like a real-life version of Peacock's 'Killing It,' which makes more sense if you've seen Peacock's 'Killing It.' By Daniel Fienberg Chief Television ...
Scientific Research Publishing

Ensemble Machine Learning Models in Financial Distress Prediction: Evidence from China ()

1 Urban Governance and Design Society Hub, Hong Kong University of Science and Technology, Guangzhou, China. 2 School of Accounting and Finance, Faculty of Business, The Hong Kong Polytechnic ...
Frontiers

An ensemble learning approach for diabetes prediction using boosting techniques

Introduction: Diabetes is considered one of the leading healthcare concerns affecting millions worldwide. Taking appropriate action at the earliest stages of the disease depends on early diabetes ...
GitHub

Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews

Identification of fossil species is crucial to evolutionary studies. Recent advances from deep learning have shown promising prospects in fossil image identification. However, the quantity and quality ...