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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
Condition: New.
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 128.83
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
Condition: As New. Unread book in perfect condition.
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 128.82
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 1522590994 ISBN 13: 9781522590996
Language: English
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£ 140.99
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
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Hidden Link Prediction in Stochastic Social Networks (Advances in Social Networking and Online Communities)
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
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Hidden Link Prediction in Stochastic Social Networks (Advances in Social Networking and Online Communities)
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
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Microbial Data Intelligence and Computational Techniques for Sustainable Computing (Microorganisms for Sustainability, 47)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Microbial Data Intelligence and Computational Techniques for Sustainable Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Hidden Link Prediction in Stochastic Social Networks (Advances in Social Networking and Online Communities)
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 166.27
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 166.26
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
Condition: As New. Unread book in perfect condition.
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Microbial Data Intelligence and Computational Techniques for Sustainable Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 176.81
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Hidden Link Prediction in Stochastic Social Networks
Published by Information Science Reference, 2019
ISBN 10: 152259096X ISBN 13: 9781522590965
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 183.50
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Microbial Data Intelligence and Computational Techniques for Sustainable Computing
Published by Springer Nature Singapore, Springer Nature Singapore Mär 2024, 2024
ISBN 10: 9819996201 ISBN 13: 9789819996209
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques.Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch.
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Hidden Link Prediction in Stochastic Social Networks
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 219.40
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Microbial Data Intelligence and Computational Techniques for Sustainable Computing
Published by Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819996236 ISBN 13: 9789819996230
Language: English
£ 165.37
Convert currency£ 54.55 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques.Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.
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Microbial Data Intelligence and Computational Techniques for Sustainable Computing
Published by Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819996201 ISBN 13: 9789819996209
Language: English
£ 169.65
Convert currency£ 55.24 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques.Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.
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Artificial Intelligence in Microbial Research (Hardcover)
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819634474 ISBN 13: 9789819634477
Language: English
£ 203.50
Convert currency£ 27.34 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies. The book begins by establishing a foundation in the fundamentals of microbial ecosystems and AI principles. It elucidates the integration of AI in microbial genomics, demonstrating how advanced algorithms analyze genomic data and contribute to genetic engineering. Bioinformatics and computational microbiology are explored, showcasing AI's role in predictive modeling and computational tools. The intersection of AI and microbial applications extends to drug discovery, precision agriculture, and pathogen detection. Readers gain insights into AI-driven drug development, the optimization of agricultural practices using microbial biostimulants, and early warning systems for crop diseases. The book highlights AI's role in microbial biotechnology, elucidating its impact on bioprocessing, fermentation, and other biotechnological applications. Climate-smart agriculture and microbial adaptations to environmental challenges are discussed, emphasizing sustainable practices.This book caters to a diverse audience including teachers, researchers, microbiologist, computer bioinformaticians, plant and environmental scientists. The book serves as additional reading material for undergraduate and graduate students of computer science, biomedical, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers to be a useful to read. This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
