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	201	Methodology for optimizing convolutional neural networks for fast production processes Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 9: 669-678. 10 S.
	202	Enhancing FEA sheet metal forming simulations through 3D geometric data-driven surrogate modeling Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 4: 261-270. 10 S.
	203	Challenges and requirements of AI-based waste water treatment systems Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 1: 40-49. 10 S.
	204	Machine learning prediction of effective radiation doses in various computed tomography applications: a virtual human phantom study Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 4: 385-391. 07 S.
	205	Classification of anemic condition based on photoplethysmography signals and clinical dataset Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 4: 359-370. 12 S.
	206	Prediction of remaining surgery duration based on machine learning methods and laparoscopic annotation data Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 3: 229-239. 11 S.
	207	Gesture recognition from surface electromyography signals based on the SE-DenseNet network Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 3: 207-216. 10 S.
	208	A new neural network–assisted hybrid chaotic hiking optimization algorithm for optimal design of engineering components Enthalten in Materials testing Bd. 67, 2025, Nr. 6: 1069-1078. 10 S.
	209	A self-portrayal of GI Junior Fellow Franziska Boenisch: trustworthy machine learning for individuals Enthalten in Information technology Bd. 67, 2025, Nr. 1: 8-12. 5 S.
	210	Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 21 S.

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