Papers matching “hyperparameter optimization” 35
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Systematic framework for deep learning-based predictive injection control with Bayesian hyperparameter optimization for a hydrogen/diesel dual-fuel engine2025 Control Engineering Practice article Engineering Advanced Control Systems Optimization Open access cited by 1 patent
Hossein Mehnatkesh, Alexander Winkler, Edward Sperling, Javad Kheyrollahi, Mahdi Shahbakhti, David C. Gordon, +1 more
14citations -
Optimizing Pavement Maintenance with AI: A Data-Driven Framework Integrating Optimization and Machine Learning2026 International Journal of Pavement Research and Technology article Engineering Infrastructure Maintenance and Monitoring Open access
Tiago Tamagusko, Sérgio Copetti Callai, Matheus Gomes Correia, A M Ferreira
2citations -
End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines2022 PHM Society European Conference conference-paper Engineering Machine Fault Diagnosis Techniques Open access
Marios Kefalas, Bas van Stein, Mitra Baratchi, Asteris Apostolidis, Thomas Bäck
4citations -
Battery Thermal Runaway Fault Prognosis in Electric Vehicles Based on Abnormal Heat Generation and Deep Learning Algorithms2022 IEEE Transactions on Power Electronics article Engineering Advanced Battery Technologies Research cited by 2 patents
Da Li, Peng Liu, Zhaosheng Zhang, Lei Zhang, Junjun Deng, Zhenpo Wang, +3 more
220citations -
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards2021 Sensors article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent
Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Arnold Gillner
71citations -
Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data2020 IEEE International Conference on Big Data (BigData) conference-paper Engineering Muscle activation and electromyography studies Open access
Marios Kefalas, Milan Koch, Victor Jacobus Geraedts, Hao Wang, Martijn Rudolf Tannemaat, Thomas Bäck
11citations -
Topology Identification in Low-Voltage Grids using Neural Networks2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) conference-paper Engineering Optimal Power Flow Distribution
Franziska Tischbein, Antoni Chajan, Luis Böttcher, Andreas Ulbig
2citations -
AutoMergeNet: AutoML-Based M-Source Satellite Data Fusion Evaluated With Atmospheric Case Studies2025 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing article Engineering Remote-Sensing Image Classification Open access
Julia Wąsala, Joannes D. Maasakkers, Berend J. Schuit, Gijs Leguijt, Ilse Aben, Rochelle Schneider, +2 more
0citations -
Framework for Potential Analysis by Approximating Line-Less Assembly Systems with AutoML2021 Lecture notes in mechanical engineering conference-paper Engineering Flexible and Reconfigurable Manufacturing Systems
Lea Kaven, Jonas Rachner, Amon Göppert, Sazvan Saeed, Robert Heinrich Schmitt
5citations -
Construction of small sets of reference images for feature descriptors fitting and their use in the multiclassification of parts in industry2020 The International Journal of Advanced Manufacturing Technology article Engineering Industrial Vision Systems and Defect Detection
Herberth Birck Fröhlich, Natalia Grozmani, Dominik Wolfschläger, Armando Albertazzi Gonçalves, Robert Heinrich Schmitt
2citations