Abstract: High impedance faults constitute one of the biggest challenges in electrical power systems. In overhead distribution systems, faults are caused by tree branches that touch the electrical ...
Abstract: Musculoskeletal disorders (MSDs) are a common occupational health concern caused by poor posture that reduces productivity. Traditional postural assessments rely on expert evaluation, which ...
ABSTRACT: This paper presents a method for detecting, classifying, and locating short-circuit faults in meshed electrical networks using Artificial Neural Networks (ANNs). The proposed approach is ...
Accurate prediction of knee biomechanics during total knee replacement (TKR) surgery is crucial for optimal outcomes. This study investigates the application of machine learning (ML) techniques for ...
This is the very first version of the SANDI Matlab Toolbox, no longer updated. The most recent and up-to-date version of the SANDI Matlab Toolbox can be found here. We recommend users to use the most ...
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In this project it is used a Machine Learning model based on a method called Extreme Learning, with the employment of L2-regularization. In particular, a comparison was carried out between: (A1) which ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Fouling problems arise as a result of the highly exothermic ...
In this paper, an optimized boron-coated straw tube neutron multiplicity counter is used to simulate neutron multiplicity for six different shapes of weapons-grade plutonium samples. It was found that ...