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1501 |
Modeling Hydrological Responses of Watershed Under Climate Change Scenarios Using Machine Learning Techniques
Enthalten in Water resources management Bd. 37, 11.9.2023, Nr. 13, date:10.2023: 5235-5254
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1502 |
Modeling liquid rate through wellhead chokes using machine learning techniques
Enthalten in Scientific reports Bd. 14, 23.3.2024, Nr. 1, date:12.2024: 1-19
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1503 |
Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques
Enthalten in Scientific reports Bd. 11, 13.1.2021, Nr. 1, date:12.2021: 1-13
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1504 |
Modeling the gasification process in producing raw gases and solids using machine learning techniques in combination with optimization algorithms
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 26.11.2024, Nr. 1, date:1.2025: 1-22
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1505 |
Modeling the spatial variation of calcium carbonate equivalent to depth using machine learning techniques
Enthalten in Environmental monitoring and assessment Bd. 195, 25.4.2023, Nr. 5, date:5.2023: 1-16
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1506 |
Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt
Enthalten in Environmental monitoring and assessment Bd. 195, 3.5.2023, Nr. 6, date:6.2023: 1-15
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1507 |
Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
Enthalten in Computational urban science Bd. 5, 8.4.2025, Nr. 1, date:12.2025: 1-12
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1508 |
Moisture Content Prediction Model for Pharmaceutical Granules Using Machine Learning Techniques
Enthalten in Journal of pharmaceutical innovation Bd. 20, 16.1.2025, Nr. 1, date:2.2025: 1-13
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1509 |
Mood detection and prediction using conventional machine learning techniques on COVID19 data
Enthalten in Social network analysis and mining Bd. 12, 21.9.2022, Nr. 1, date:12.2022: 1-23
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1510 |
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 23, 23.1.2023, Nr. 1, date:12.2023: 1-17
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