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Artikel 1011 Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam
Enthalten in Natural hazards Bd. 108, 10.6.2021, Nr. 3, date:9.2021: 3229-3251
Online Ressource
Artikel 1012 Food fraud detection in Octopus mimus using hyperspectral imaging and machine learning techniques
Enthalten in Neural computing & applications Bd. 37, 4.12.2024, Nr. 4, date:2.2025: 2369-2381
Online Ressource
Artikel 1013 Forecasting biochemical oxygen demand (BOD) in River Ganga: a case study employing supervised machine learning and ANN techniques
Enthalten in Sustainable Water Resources Management Bd. 11, 16.1.2025, Nr. 1, date:2.2025: 1-18
Online Ressource
Artikel 1014 Forecasting first-year student mobility using explainable machine learning techniques
Enthalten in Review of regional research Bd. 44, 21.2.2024, Nr. 1, date:3.2024: 119-140
Online Ressource
Artikel 1015 Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques
Enthalten in Parasites & vectors Bd. 18, 15.3.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 1016 Forecasting urban travel demand with geo-AI: a combination of GIS and machine learning techniques utilizing uber data in New York City
Enthalten in Environmental earth sciences Bd. 83, 14.10.2024, Nr. 20, date:10.2024: 1-17
Online Ressource
Artikel 1017 Forecasting worldwide empty container availability with machine learning techniques
Enthalten in Journal of shipping and trade Bd. 7, 27.7.2022, Nr. 1, date:12.2022: 1-24
Online Ressource
Artikel 1018 Fruit quality evaluation using machine learning techniques: review, motivation and future perspectives
Enthalten in Multimedia tools and applications Bd. 81, 2.3.2022, Nr. 12, date:5.2022: 16255-16277
Online Ressource
Artikel 1019 Full-Cycle Failure Analysis Using Conventional Time Series Analysis and Machine Learning Techniques
Enthalten in Journal of failure analysis and prevention Bd. 22, 19.4.2022, Nr. 3, date:6.2022: 1121-1134
Online Ressource
Artikel 1020 Functional discrimination of membrane proteins using machine learning techniques
Enthalten in BMC bioinformatics Bd. 9, 03.3.2008, Nr. 1, date:12.2008: 1-8
Online Ressource


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