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32401 - 32410 von 32757

	32401	Using machine learning to find the hidden relationship between RTT and TCP throughput in WiFi Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2021, 20.12.2021, Nr. 1, date:12.2021: 1-18
	32402	Using machine learning to forecast conflict events for use in forced migration models Enthalten in Scientific reports Bd. 15, 2.8.2025, Nr. 1, date:12.2025: 1-14
	32403	Using machine learning to forecast domestic homicide via police data and super learning Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-8
	32404	Using Machine Learning to Forecast Future Earnings Enthalten in Atlantic economic journal Bd. 48, 21.1.2021, Nr. 4, date:12.2020: 543-545
	32405	Using Machine Learning to Identify and Optimize Sensitive Parameters in Urban Flood Model Considering Subsurface Characteristics Enthalten in International journal of disaster risk science Bd. 15, 21.2.2024, Nr. 1, date:2.2024: 116-133
	32406	Using machine learning to identify gene interaction networks associated with breast cancer Enthalten in BMC cancer Bd. 22, 17.10.2022, Nr. 1, date:12.2022: 1-9
	32407	Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data Enthalten in Journal of neuroEngineering and rehabilitation Bd. 22, 2.6.2025, Nr. 1, date:12.2025: 1-18
	32408	Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis Enthalten in Journal of cancer research and clinical oncology Bd. 149, 28.10.2023, Nr. 19, date:12.2023: 17479-17493
	32409	Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs Enthalten in Journal of animal science and biotechnology Bd. 13, 17.5.2022, Nr. 1, date:12.2022: 1-12
	32410	Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model Enthalten in Scientific reports Bd. 9, 12.3.2019, Nr. 1, date:12.2019: 1-15

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