Application machine learning models par ehteram mohammad (35 résultats)
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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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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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 [Hardcover] [Mar 22, 2023] Ehteram, Mohammad; Seifi, Akram and Banadkooki, Fatemeh Barzegari
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
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Etat : New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.
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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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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Etat : 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 mode…ls 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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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
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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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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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Etat : 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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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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Taschenbuch. Etat : 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]springe…r[dot]com | Anbieter: preigu.
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Taschenbuch. Etat : 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 th…e 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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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Buch. Etat : 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 curre…nt 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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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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Hardcover. Etat : Brand New. 207 pages. 9.25x6.10x9.21 inches. In Stock.
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Vendeur : BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, AllemagneBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Etat : 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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PAP. Etat : 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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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Taschenbuch. Etat : 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.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad|Seifi, Akram|banadkooki, Fatemeh barzegari
Langue : anglais
Edité par Springer, Berlin|Springer Nature Singapore|Springer, 2024
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Vendeur : moluna, Greven, Allemagnemoluna
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Kartoniert / Broschiert. Etat : 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 modell…ing 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
Langue : anglais
Edité par Springer, Berlin|Springer Nature Singapore|Springer, 2023
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Vendeur : moluna, Greven, Allemagnemoluna
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Etat : 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 explained… in this book. The models of the .
- Couverture rigide
- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 171,19
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Buch. Etat : 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 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. 208 pp. Englisch.
Application of Machine Learning Models in Agricultural and Meteorological Sciences
Ehteram, Mohammad; Seifi, Akram; Banadkooki, Fatemeh Barzegari
- Couverture souple
- impression à la demande
Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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Etat : New. Print on Demand.
