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34431 |
USING BISPECTRAL FULL-WAVEFORM LIDAR TO MAP SEAMLESS COASTAL HABITATS IN 3D
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 463-470. 8 S.
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34432 |
Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum
Enthalten in Scientific reports Bd. 14, 20.5.2024, Nr. 1, date:12.2024: 1-9
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34433 |
Using CT radiomic features based on machine learning models to subtype adrenal adenoma
Enthalten in BMC cancer Bd. 23, 31.1.2023, Nr. 1, date:12.2023: 1-12
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34434 |
Using distributed ledger technology for digital forensic investigation purposes on tendering projects
Enthalten in International journal of information technology Bd. 15, 9.3.2023, Nr. 3, date:3.2023: 1255-1274
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34435 |
Using edge detection techniques and machine learning classifications for accurate lithological discrimination and structure lineaments extraction: a comparative case study from Gattar area, Northern Eastern Desert of Egypt
Enthalten in Arabian journal of geosciences Bd. 16, 26.10.2023, Nr. 11, date:11.2023: 1-25
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34436 |
Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-12
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34437 |
Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach
Enthalten in Asian journal of civil engineering Bd. 25, 27.6.2023, Nr. 1, date:1.2024: 219-236
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34438 |
USING GIS DATA AND MACHINE LEARNING FOR MINERAL MAPPING. STUDY CASE, BOU SKOUR EASTERN ANTI-ATLAS, MOROCCO
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 423-430. 8 S.
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34439 |
Using human brain activity to guide machine learning
Enthalten in Scientific reports Bd. 8, 29.3.2018, Nr. 1, date:12.2018: 1-10
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34440 |
Using Information about Influencing Factors to Split Data Samples in Machine Learning Methods for the Purposes of Assessing Information Security
Enthalten in Automatic control and computer sciences Bd. 56, 28.2.2023, Nr. 8, date:12.2022: 981-987
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Administration
