Application machine learning models de ehteram mohammad (32 resultados)
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 180,24
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The…models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations.Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 184,75
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 207,56
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 149,05
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Taschenbuch. Condición: Neu. Application of Machine Learning Models in Agricultural and Meteorological Sciences | Mohammad Ehteram (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9789811997358 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spr…inger[dot]com | Anbieter: preigu.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 225,73
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Condición: New. 2023rd edition NO-PA16APR2015-KAP.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 226,39
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Condición: New. 2023rd edition NO-PA16APR2015-KAP.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 178,02
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models o…f the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations.Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world.The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 179,61
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the c…urrent book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations.Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world.The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad/ Seifi, Akram/ Banadkooki, Fatemeh Barzegari
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 250,31
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Hardcover. Condición: Brand New. 207 pages. 9.25x6.10x9.21 inches. In Stock.
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 262,91
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Condición: New.
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Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, AlemaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 269,90
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Hardcover. Condición: gut. 2023. Application of Machine Learning Models in Agricultural and Meteorological Sciences In deutscher Sprache. pages.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Mohammad Ehteram, Ehteram,Akram Seifi, Seifi,Fatemeh Barzegari Banadkooki, Banadkooki
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Mohammad Ehteram, Ehteram,Akram Seifi, Seifi,Fatemeh Barzegari Banadkooki, Banadkooki
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Application of Machine Learning Models in Agricult
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 135,62
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Application of Machine Learning Models in Agricult
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 135,62
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 134,27
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Condición: new. Questo è un articolo print on demand.
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 134,27
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Condición: new. Questo è un articolo print on demand.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad|Seifi, Akram|banadkooki, Fatemeh barzegari
Idioma: Inglés
Editorial: Springer, Berlin|Springer Nature Singapore|Springer, 2024
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Librería: moluna, Greven, Alemaniamoluna
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EUR 144,94
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the mo…delling process are explained in this book. The models of the .
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad|Seifi, Akram|banadkooki, Fatemeh barzegari
Idioma: Inglés
Editorial: Springer, Berlin|Springer Nature Singapore|Springer, 2023
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Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 144,94
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are expla…ined in this book. The models of the .
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 171,19
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this bo…ok. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations.Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world.The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars. 208 pp. Englisch.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 171,19
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The… models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations.Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world.The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars. 208 pp. Englisch.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 171,19
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book.…The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations.Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers.Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation.The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 171,19
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The mod…els of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations.Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers.Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation.The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 240,26
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Condición: New. Print on Demand.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 240,45
Envío por EUR 7,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand.
