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Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data
(IOS Press, 2020)
Background: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated.
Objective: The objective of the study was to validate predictive models to separately ...
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
(MDPI, 2021)
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...
Machine Learning-Based Fault Detection and Diagnosis of Faulty Power Connections of Induction Machines
(MDPI, 2021)
Induction machines have been key components in the industrial sector for decades, owing to different characteristics such as their simplicity, robustness, high energy efficiency and reliability. However, due to the stress ...
Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods
(MDPI, 2021)
Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) ...