A Domain-Informed Explainable Machine Learning Framework for Predictive Maintenance in Smart Manufacturing

An Intelligent Machine Learning Framework for Performance Prediction in Mobile Ad Hoc Networks

Selvanandhini Dr. B.

Mobile Ad Hoc Networks (MANETs) operate without fixed infrastructure and are affected by node mobility, dynamic topology, unstable links, limited energy, and traffic congestion. This research introduces a Machine Learning-Based Performance Prediction Framework (ML-PPF) to predict…Read more

Predictive Maintenance of Power Transformers using Machine Learning- A Case Study

AMANING RICHMOND OFORI, Electronic Engineering, DR JOSEPH C. ATTACHIE

The importance of power transformers in electrical power systems cannot be overstated, as their failures can lead to considerable economic losses and disruptions. The typical malfunctions encountered by a power transformer comprise dielectric issues, thermal losses due to copper…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 Hybrid Machine Learning Framework for Microstructure-Based Composition Reconstruction and Hardness Prediction of Al–Si Die-Casting Alloys

Uro Heo, Taehyun Kim, Youngje Kwon, Jingyu Seo, K.H. Kim, Namhyun Kang

This dataset contains the data used in the paper "Hybrid Machine Learning Framework for Microstructure-Based Composition Reconstruction and Hardness Prediction of Al–Si Die-Casting Alloys". The dataset (approximately 3GB) is divided into two main parts: OMtoEDS: Contains the data…Read more

Village-Level Suitability Assessment For Litchi Cultivation In The Malwa Region Using Explainable Machine Learning And Geospatial Data

Dr. Pankaj Malik, Mishthi Patodia, Vedant soni, Deepika Kumari, Pragati Agrawal, Jaiswal Tanmay

Litchi is a high-value fruit crop traditionally cultivated in regions with favorable climatic and soil conditions. Expanding litchi cultivation into non-traditional areas such as the Malwa region of Madhya Pradesh requires accurate identification of suitable locations to minimize…Read more

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…Read more