Abstract: Predictive maintenance (PdM) of electrical machines has emerged as a critical research domain at the intersection of machine learning, electrical engineering, and Industry 4.0 technologies.

Adolescent depression has emerged as a critical global public health concern, with rising prevalence in China posing severe threats to psychological development and social adaptation. Traditional ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is transforming how organizations anticipate and counter cyber attacks.

Recently, with growing attention paid to machine learning (ML) in stroke care, some researchers have investigated the effectiveness of ML in predicting the mortality risk in stroke. However, ...

The machine learning-based model – Endometriosis Pain Index – predicted poor pain-related quality of life after surgical intervention for endometriosis. Machine learning model Endometriosis Pain Index ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Abstract: Stroke impact on an individual's health remains alarming around the globe, and requires analysis and treatment on time. This paper discusses the design and implementation of IoT based health ...

ABSTRACT: The continuous integration (CI) and continuous delivery/deployment (CD) methods are key tools in the field of modern software development, and they assist in the rapid, reliable and quality ...

Background: Machine learning (ML) has been investigated for its predictive value in knee osteoarthritis (KOA) progression. However, systematic evidence on the effectiveness of ML is still lacking, ...