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27061 - 27070 von 31584

	27061	Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review Enthalten in European journal of orthopaedic surgery & traumatology Bd. 34, 30.8.2024, Nr. 8, date:12.2024: 3809-3825
	27062	Optimal iterative learning PI controller for SISO and MIMO processes with machine learning validation for performance prediction Enthalten in Scientific reports Bd. 14, 9.10.2024, Nr. 1, date:12.2024: 1-25
	27063	Optimal large-scale stochastic optimization of NDCG surrogates for deep learning Enthalten in Machine learning Bd. 114, 27.1.2025, Nr. 2, date:2.2025: 1-70
	27064	Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning Enthalten in Biomedical engineering online Bd. 19, 16.6.2020, Nr. 1, date:12.2020: 1-18
	27065	Optimal linear B-spline approximation via Kolmogorov superposition theorem and its applications Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 3.7.2025, Nr. 2, date:12.2025: 1-23
	27066	Optimal machine learning for detecting lathe machining parameters Enthalten in The international journal of advanced manufacturing technology Bd. 128, 19.7.2023, Nr. 1-2, date:9.2023: 779-788
	27067	Optimal Markowitz portfolio using returns forecasted with time series and machine learning models Enthalten in Journal of Big Data Bd. 12, 22.5.2025, Nr. 1, date:12.2025: 1-40
	27068	Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 11, 10.8.2020, Nr. 3, date:9.2020: 505-515
	27069	Optimal multiuser uplink data detection for 5G communication networks Enthalten in International journal of information technology Bd. 16, 25.1.2024, Nr. 3, date:3.2024: 1407-1418
	27070	Optimal Prediction Model of Default Probability Based on Multiple Machine Learning Methods Enthalten in Automatic control and computer sciences Bd. 59, 22.6.2025, Nr. 1, date:2.2025: 116-125

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