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VSG-FC: A Combined Virtual Sample Generation and Feature Construction Model for Effective Prediction of Surface Roughness in Polishing Processes [PDF]
MicromachinesSurface roughness is a critical indicator for assessing the quality and characteristics of workpieces, the accurate prediction of which can significantly enhance production efficiency and product performance.
Dapeng Yang +3 more
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Unsupervised Feature-Construction-Based Motor Fault Diagnosis [PDF]
SensorsAny bearing faults are a leading cause of motor damage and bring economic losses. Fast and accurate identification of bearing faults is valuable for preventing damaging the whole equipment and continuously running industrial processes without ...
Tsatsral Amarbayasgalan, Keun Ho Ryu
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IEEE Access, 2021 The eyes are the first channel used by humans to obtain various types of visual information from the outside world and, especially when driving, 80-90% of information is received through the eyes.
Xian-Sheng Li +4 more
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A Robust Feature Construction for Fish Classification Using Grey Wolf Optimizer
Cybernetics and Information Technologies, 2022 The low quality of the collected fish image data directly from its habitat affects its feature qualities. Previous studies tended to be more concerned with finding the best method rather than the feature quality.
Santosa Paulus Insap +1 more
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Prediction of PM2.5 Concentration Based on the LSTM-TSLightGBM Variable Weight Combination Model
Atmosphere, 2021 PM2.5 is one of the main pollutants that cause air pollution, and high concentrations of PM2.5 seriously threaten human health. Therefore, an accurate prediction of PM2.5 concentration has great practical significance for air quality detection, air ...
Xuchu Jiang, Yiwen Luo, Biao Zhang
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QFC: A Parallel Software Tool for Feature Construction, Based on Grammatical Evolution
Algorithms, 2022 This paper presents and analyzes a programming tool that implements a method for classification and function regression problems. This method builds new features from existing ones with the assistance of a hybrid algorithm that makes use of artificial ...
Ioannis G. Tsoulos
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Redundancy Is Not Necessarily Detrimental in Classification Problems
Mathematics, 2021 In feature selection, redundancy is one of the major concerns since the removal of redundancy in data is connected with dimensionality reduction. Despite the evidence of such a connection, few works present theoretical studies regarding redundancy.
Sebastián Alberto Grillo +9 more
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Applied Sciences, 2022 Extracting representative feature sets from raw signals is crucial in Prognostics and Health Management (PHM) for components’ behavior understanding. The literature proposes various methods, including signal processing in the time, frequency, and time ...
Francesca Calabrese +4 more
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FEATURE CLUSTERING FOR PSO-BASED FEATURE CONSTRUCTION ON HIGH-DIMENSIONAL DATA
Journal of ICT, 2019 Feature construction (FC) refers to a process that uses the original features to construct new features with better discrimination ability. Particle Swarm Optimisation (PSO) is an effective search technique that has been successfully utilised in FC ...
Idheba Mohamad Ali Omer Swesi +1 more
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Clinical model for Hereditary Transthyretin Amyloidosis age of onset prediction
Frontiers in Neurology, 2023 IntroductionHereditary transthyretin amyloidosis (ATTRv amyloidosis) is a rare neurological hereditary disease clinically characterized as severe, progressive, and life-threatening while the age of onset represents the moment in time when the first ...
Maria Pedroto +7 more
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