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35491 |
Using an ensemble machine learning model to delineate groundwater potential zones in desert fringes of East Esna-Idfu area, Nile valley, Upper Egypt
Enthalten in Geoscience Letters Bd. 10, 9.2.2023, Nr. 1, date:12.2023: 1-19
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35492 |
Using Artificial Intelligence and Machine Learning for Rapidly Identifying Manufacturing Failures
Enthalten in Journal of failure analysis and prevention Bd. 22, 14.10.2022, Nr. 5, date:10.2022: 1813-1815
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35493 |
Using Big Data-machine learning models for diabetes prediction and flight delays analytics
Enthalten in Journal of Big Data Bd. 7, 17.9.2020, Nr. 1, date:12.2020: 1-18
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35494 |
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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35495 |
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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35496 |
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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35497 |
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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35498 |
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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35499 |
Using experimental data in computationally guided rational design of inorganic materials with machine learning
Enthalten in Journal of materials research Bd. 40, 8.4.2025, Nr. 6, date:3.2025: 833-848
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35500 |
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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