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16721 |
Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management
Enthalten in Heritage Science Bd. 11, 18.9.2023, Nr. 1, date:12.2023: 1-26
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16722 |
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
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16723 |
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
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16724 |
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
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16725 |
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
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16726 |
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
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16727 |
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
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16728 |
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
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16729 |
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
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16730 |
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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