Dataset for Hybrid Machine Learning Framework for Microstructure-Based Composition Reconstruction and Hardness Prediction of Al–Si Die-Casting Alloys

Comparative Analysis of Machine Learning Classification Algorithms and Hybrid Models for Student Performance Prediction

Ms. Pooja C. Soni, Dr. Hetal R. Modi, PC Negi

This study focuses on the analysis and comparison of machine learning classification algorithms and hybrid machine learning models for predicting student academic performance. Educational Data Mining techniques are used to extract meaningful insights from student datasets. Variou…Read more

Supplementary Dataset for: Bearing Capacity and Safety Factors of Ring Foundations in Spatially Variable Soils: A Hybrid FELA-Machine Learning Approach

moein mohammadizadeh, mohsen mohammadizadeh

This dataset contains the supplementary numerical data generated and analysed in the study entitled: "Bearing Capacity and Safety Factors of Ring Foundations in Spatially Variable Soils: A Hybrid FELA-Machine Learning Approach." The dataset supports the investigation of ring foun…Read more

Event-Based Prediction of Liquidity Sweep Dynamics in XAUUSD Using Machine Learning

Vanshvardhan Sharma

This paper develops a machine learning framework for detecting and predicting liquidity sweep events in XAUUSD using event-based market microstructure analysis. Using 15-minute data from 2014–2024, the study formalizes liquidity sweeps as a binary classification problem evaluated…Read more

A Systematic Review of Machine Learning, Deep Learning, and Explainable AI Approaches for Cardiac Disease Prediction

Sunanda Budihal, Sheetalrani Kawale, Abhishek Angadi

The cardiovascular (Cardiac) disease (CVD) is another factor that causes death among the global population most, and this is the reason why there is a high necessity to implement proper, effective, and interpretive diagnostic systems. The usage of machine learning (ML), deep lear…Read more

Also available via: European Organization for Nuclear Research

Dataset for User Acceptance Evaluation of Machine Learning-Based Investment Analysis Website Using UTAUT

I Gusti Arya Dwipa Aryawangsa, Ni Luh Putu Ayu Diantini, Yuniarty

ML Precipitation Prediction: Hybrid Deep Learning for Spatiotemporal Forecasting in Mountainous Areas

Manuel Ricardo Perez Reyes

A hybrid deep learning framework for monthly precipitation prediction in mountainous areas of Boyacá, Colombia. Combines Graph Neural Networks (GNN) with temporal attention mechanisms and ConvLSTM architectures for accurate spatiotemporal forecasting. This implementation includes…Read more