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"Machine Learning"
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27381 - 27390 von 32537
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27381
Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping
Enthalten in Plant methods Bd. 13, 21.11.2017, Nr. 1, date:12.2017: 1-16
27382
Multi-fuzzy sets and neural networks: a collaborative tool for artificial intelligence
Enthalten in International journal of information technology Bd. 16, 22.5.2024, Nr. 6, date:8.2024: 3419-3423
27383
MULTI-HAZARD SUSCEPTIBILITY ASSESSMENT WITH HYBRID MACHINE LEARNING METHODS FOR TUT REGION (ADIYAMAN, TURKIYE)
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-1-2023, 2023: 529-536. 8 S.
27384
Multi-information fusion based on dual attention and text embedding network for local citation recommendation
Enthalten in Advances in computational intelligence Bd. 3, 25.7.2023, Nr. 4, date:8.2023: 1-11
27385
Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection
Enthalten in Journal of translational medicine Bd. 19, 30.6.2021, Nr. 1, date:12.2021: 1-10
27386
Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons
Enthalten in Scientific reports Bd. 15, 23.9.2025, Nr. 1, date:12.2025: 1-23
27387
Multi-level cognitive state classification of learners using complex brain networks and interpretable machine learning
Enthalten in Cognitive neurodynamics Bd. 19, 3.1.2025, Nr. 1, date:12.2025: 1-17
27388
Multi-machine learning model based on radiomics features to predict prognosis of muscle-invasive bladder cancer
Enthalten in BMC cancer Bd. 25, 1.7.2025, Nr. 1, date:12.2025: 1-14
27389
Multi-metric comparison of machine learning imputation methods with application to breast cancer survival
Enthalten in BMC medical research methodology Bd. 24, 30.8.2024, Nr. 1, date:12.2024: 1-17
27390
Multi-modal Machine Learning Investigation of Telework and Transit Connections
Enthalten in Data science for transportation Bd. 6, 3.7.2024, Nr. 2, date:8.2024: 1-17
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