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10621 |
Multi-ahead electrical conductivity forecasting of surface water based on machine learning algorithms
Enthalten in Applied water science Bd. 13, 8.9.2023, Nr. 10, date:10.2023: 1-20
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10622 |
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients
Enthalten in Cancer imaging Bd. 23, 3.8.2023, Nr. 1, date:12.2023: 1-11
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10623 |
Multi-center validation of machine learning model for preoperative prediction of postoperative mortality
Enthalten in npj digital medicine Bd. 5, 12.7.2022, Nr. 1, date:12.2022: 1-10
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10624 |
Multi-Choice Wavelet Thresholding Based Binary Classification Method
Enthalten in Methodology Bd. 16, 18.06.2020, Nr. 2
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10625 |
Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms
Enthalten in Humanities and Social Sciences Communications Bd. 11, 10.5.2024, Nr. 1, date:12.2024: 1-13
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10626 |
Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction
Enthalten in Autonomous intelligent systems Bd. 4, 21.6.2024, Nr. 1, date:12.2024: 1-16
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10627 |
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
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10628 |
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.
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10629 |
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
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10630 |
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
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