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Reducing inequalities using an unbiased machine learning approach to identify births with the highest risk of preventable neonatal deaths | Population Health Metrics

admin October 29, 2025 0

ApproachIn this research, the unit of analysis is the individual birth. We aim to identify the births with the highest...

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics

admin October 28, 2025 0

This section outlines the operational process of the proposed Student Classification System (SCS-B), which utilizes machine learning techniques. The system...

Prediction of stillbirth using machine learning methods

admin October 24, 2025 0

Data sourceData were extracted from a perinatal database for women who delivered between January 2009 and December 2020 at seven...

A comparative study of machine learning methods for predicting mode I and II brittle fracture in notched bend specimens

admin October 23, 2025 0

Data set visualisationTable 2 presents the characteristics of the dataset used in this study. The input variables across the datasets demonstrate...

A hybrid machine learning-enhanced MCDM model for transport safety engineering

admin October 20, 2025 0

Dynamic evolution of SPIsTo analyze the evolution of specific SPIs over time, we created radar plots, as depicted in Fig. 8....

Revolutionizing Interaction Discovery in Machine Learning

admin October 14, 2025 0

In the vast landscape of machine learning, a groundbreaking study by Chen, Jiang, and Noble sheds light on the intricate...

machine

Reducing inequalities using an unbiased machine learning approach to identify births with the highest risk of preventable neonatal deaths | Population Health Metrics

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics

Prediction of stillbirth using machine learning methods

A comparative study of machine learning methods for predicting mode I and II brittle fracture in notched bend specimens

A hybrid machine learning-enhanced MCDM model for transport safety engineering

Revolutionizing Interaction Discovery in Machine Learning

The changing face of international student mobility – ICEF Monitor

Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism

Student exchange applications now close on 30 November

What learning a new language has taught me about connection

Student Leadership Network Welcomes Talia Scott and Cerie Tisch Stone to Its Board of Directors

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