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	17551	Using Machine Learning Algorithms and Honeypot Systems to Detect Adversarial Attacks on Intrusion Detection Systems Enthalten in Automatic control and computer sciences Bd. 58, 14.3.2025, Nr. 8, date:12.2024: 1226-1233
	17552	Using Machine Learning Algorithms for Water Segmentation in Gas Diffusion Layers of Polymer Electrolyte Fuel Cells Enthalten in Transport in porous media Bd. 144, 4.8.2022, Nr. 3, date:9.2022: 715-737
	17553	Using machine learning algorithms to enhance IoT system security Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-19
	17554	Using machine learning algorithms to guide rehabilitation planning for home care clients Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
	17555	Using machine learning algorithms to identify genes essential for cell survival Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
	17556	Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients Enthalten in Scientific reports Bd. 15, 15.7.2025, Nr. 1, date:12.2025: 1-16
	17557	Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service Enthalten in The international journal of advanced manufacturing technology Bd. 128, 23.8.2023, Nr. 9-10, date:10.2023: 3857-3883
	17558	Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors Enthalten in BMC medical informatics and decision making Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-8
	17559	Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data Enthalten in Journal of Big Data Bd. 9, 29.4.2022, Nr. 1, date:12.2022: 1-20
	17560	Using metaheuristic algorithms to optimize a mixed model-based ground-motion prediction model and associated variance components Enthalten in Journal of seismology Bd. 26, 4.5.2022, Nr. 3, date:6.2022: 483-498

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