Search Results - (( re evaluation force algorithm ) OR ( panel classification system algorithm ))
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Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes
Published 2024“…Identifying and categorizing faults on solar panel surfaces is essential for maintenance, as these defects considerably affect energy output and system efficiency. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…This thesis aims at evaluating a class of robust control scheme, namely active force control (AFC) on a two degrees of freedom upper-limb exoskeleton that is able to compensate disturbances arising from different upper-limb weights that are unique for different individuals without the need for further re-tuning. …”
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…This thesis aims at evaluating a class of robust control scheme, namely active force control (AFC) on a two degrees of freedom upper-limb exoskeleton that is able to compensate disturbances arising from different upper-limb weights that are unique for different individuals without the need for further re-tuning. …”
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
Published 2016“…In this thesis, an automatic and efficient defect detection system, utilising advanced classification and clustering strategies are proposed. …”
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Nanofluid flow and heat transfer in corrugated backward-facing step channel using ethylene glycol as based fluid
Published 2020“…Combined the backward-facing step with corrugated wall enhanced the Nusselt number (Nu) up to 62% at Re = 5,000. The performance evaluation criteria increased as the amplitude height increases until it reached 4 mm and then decreased steeply. …”
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
Published 2021“…In the second scenario, the system is evaluated with a Rician channel which represents the real channel for satellite transmission. …”
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