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A bi-objective Genetic Algorithm for flexible flow shop scheduling: A real-world application in the electrical industry
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A Machine Learning Ensemble Approach for Predicting Factors Affecting STEM Students’ Future Intention to Enroll in Chemistry-Related Courses
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A Model Proposal for Occupational Health and Safety Performance Measurement in Geothermal Drilling Areas
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A Three-port Flyback for PV Microinverter Applications With Power Pulsation Decoupling Capability
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An Evaluation of the Efficiency of Tertiary Education in the Explanation of the Performance of GDP per Capita Applying Data Envelopment Analysis (DEA)
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Assessing the influence of expert video aid on assembly learning curves
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Bibliometric Analysis of Environmental, Social, and Governance Management Research from 2002 to 2021
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Cross-evaluation of a parallel operating SVM – CNN classifier for reliable internal decision-making processes in composite inspection
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Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis
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Data-Driven Modeling of Grid-Forming Inverter Dynamics Using Power Hardware-in-the-Loop Experimentation
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Deep learning for in-situ powder stream fault detection in directed energy deposition process
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Deep neural network and meta-learning-based reactive sputtering with small data sample counts
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