Grum marcus (27 risultati)

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  • Lingua: Inglese

    Editore: Apress, 2026

    9798868820458

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  • Lingua: Inglese

    Editore: Apress, 2026

    9798868820458

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Apress, 2026

    9798868820458

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Apress, 2026

    9798868820458

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    EUR 62,40

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  • Lingua: Inglese

    Editore: Apress, 2026

    9798868820458

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  • Lingua: Inglese

    Editore: Apress, 2026

    9798868820458

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Springer, 2026

    3032176204 / 9783032176202

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    Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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    EUR 92,76

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  • Lingua: Inglese

    Editore: Springer, 2026

    3032176204 / 9783032176202

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 91,96

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  • Condizione: Usato - Molto buono

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    paperback. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

  • Lingua: Inglese

    Editore: Springer, 2026

    3032176204 / 9783032176202

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 91,92

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  • Lingua: Inglese

    Editore: Springer, 2026

    3032176204 / 9783032176202

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 78,76

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book challenges the conventional idea of organizational learning by emphasizing the importance of intentional forgetting alongside information retention. It explores how intentional forgetting can free up cognitive, organizational, and technological resources, enabling organizations to adapt effectively to changing environments and remain resilient in the face of challenges. This shift in perspective highlights intentional forgetting as a crucial aspect of developing dynamic capabilities and coping with the ever-growing volume of stored information in modern organizations. The book provides an interdisciplinary perspective on the most recent research in intentional forgetting with joint contributions from psychology, computer science, information systems research, and engineering. These contributions cover the theory of intentional forgetting, methods, and paradigms to analyze and design intentional forgetting in organizations, as well as practical applications of intentional forgetting.The book examines the intricate mechanisms of human and machine forgetting, particularly relevant within technical and organizational spheres. Through practical demonstrations, it showcases how established organizational theories can be leveraged to empower information systems within organizations to engage in forgetting. Furthermore, it presents interdisciplinary methodologies and pathways for organizations to effectively manage the ever-expanding volume of stored information while strategically implementing forgetting as a vital tool for optimization.The book offers inspiration to business information scientists, computer scientists, and organizational designers, urging them to draw parallels with human memory to devise innovative solutions for effectively managing the overwhelming influx of information and data.

  • Lingua: Inglese

    Editore: Apress Jan 2026, 2026

    9798868820458

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 93,36

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    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. Neuware - Explore how AI can be harnessed responsibly to create a sustainable future, guided by the United Nations 17 Sustainable Development Goals (SDGs). This book emphasizes the collective power of individual and institutional actions to foster equity, resilience, and sustainability in a digital age. Structured into five comprehensive sections, you ll see how ethical AI is applied for equity, sustainability, and social responsibility in tackling global challenges effectively.Part 1: Agenda 2030 introduces the Sustainable Development Goals, offering a foundation for understanding global challenges and the transformative role of AI in accelerating progress. Part 2: Earth explores AI solutions for land-based challenges, including resource management, ecosystem monitoring, biodiversity conservation, urban sustainability, waste management, and traffic optimization. Part 3: Air examines AI applications for improving air quality, supporting meteorology and climate forecasting, enabling smarter aviation systems, and analyzing atmospheric changes that influence human and environmental health. Part 4: Water focuses on AI-driven innovations in water conservation, desalination, filtration technologies, species and marine-life tracking, and sustainable water-resource management. Part 5: Fire addresses energy generation, wildfire prediction and management, carbon-footprint assessment of AI systems, and the role of AI in population modeling and resilience planning.AI for Climate Action and Sustainable Development offers actionable insights for researchers, policymakers, and technologists, inspiring readers to balance innovation with responsibility, and building a just, inclusive, and sustainable future for all.What You Will LearnUnderstand sustainability as a fundamental pillar of progress in the modern world.Review the ethical responsibilities that guide technological advancements.Gain insights into shaping a humane and inclusive digital future.Examine the dual impact of innovation its opportunities and challenges.Who This Book Is ForEnthusiasts and professionals in AI, sustainability, and climate science will gain insights into how AI addresses global challenges, while policymakers and activists can explore how technology aligns with Sustainable Development Goals (SDGs) to foster social equity and environmental protection. Educators and students will find it a valuable resource for understanding AI s role in environmental science and social justice.

  • Lingua: Inglese

    Editore: Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: StainesBookhub, Weybridge, SURRE, Regno UnitoStainesBookhub

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    Condizione: Nuovo

    EUR 116,75

    EUR 35,01 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibili

    Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

  • Lingua: Inglese

    Editore: Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    EUR 153,36

    EUR 17,43 spedizione 
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    Quantità: Più di 20 disponibili

    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

    • Brossura

    Da: California Books, Miami, FL, U.S.A.California Books

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    EUR 182,31

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    Condizione: New.

  • Lingua: Inglese

    Editore: Apress Jan 2026, 2026

    9798868820458

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    Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh

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    EUR 87,88

    EUR 105,00 spedizione 
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    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. Neuware -Explore how AI can be harnessed responsibly to create a sustainable future, guided by the United Nations' 17 Sustainable Development Goals (SDGs). This book emphasizes the collective power of individual and institutional actions to foster equity, resilience, and sustainability in a digital age. Structured into five comprehensive sections, you'll see how ethical AI is applied for equity, sustainability, and social responsibility in tackling global challenges effectively.Part 1: Agenda 2030 introduces the Sustainable Development Goals, offering a foundation for understanding global challenges and the transformative role of AI in accelerating progress. Part 2: Earth explores AI solutions for land-based challenges, including resource management, ecosystem monitoring, biodiversity conservation, urban sustainability, waste management, and traffic optimization. Part 3: Air examines AI applications for improving air quality, supporting meteorology and climate forecasting, enabling smarter aviation systems, and analyzing atmospheric changes that influence human and environmental health. Part 4: Water focuses on AI-driven innovations in water conservation, desalination, filtration technologies, species and marine-life tracking, and sustainable water-resource management. Part 5: Fire addresses energy generation, wildfire prediction and management, carbon-footprint assessment of AI systems, and the role of AI in population modeling and resilience planning.AI for Climate Action and Sustainable Development offers actionable insights for researchers, policymakers, and technologists, inspiring readers to balance innovation with responsibility, and building a just, inclusive, and sustainable future for all.What You Will Learn- Understand sustainability as a fundamental pillar of progress in the modern world.- Review the ethical responsibilities that guide technological advancements.- Gain insights into shaping a humane and inclusive digital future.- Examine the dual impact of innovationits opportunities and challenges.Who This Book Is ForEnthusiasts and professionals in AI, sustainability, and climate science will gain insights into how AI addresses global challenges, while policymakers and activists can explore how technology aligns with Sustainable Development Goals (SDGs) to foster social equity and environmental protection. Educators and students will find it a valuable resource for understanding AI's role in environmental science and social justice. 340 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Vieweg, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: preigu, Osnabrück, Germaniapreigu

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    EUR 131,15

    EUR 70,00 spedizione 
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    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Construction of a Concept of Neuronal Modeling | Marcus Grum | Taschenbuch | Gabler Theses | lv | Englisch | 2022 | Springer Vieweg | EAN 9783658359980 | Verantwortliche Person für die EU: Springer Gabler in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

    • Brossura

    Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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    Condizione: Nuovo

    EUR 208,11

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    Quantità: 4 disponibili

    Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer VS, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

    • Brossura

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 212,09

    EUR 38,51 spedizione 
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    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The business problem of having inefficient processes, imprecise process analyses and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating and optimizing processes, this paper proposes a flexible Concept of Neuronal Modeling (CoNM). The modeling concept, which is described by the modeling language designed and its mathematical formulation and is connected to a technical substantiation, is based on a collection of novel sub-artifacts. As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS) and Neuronal Process Optimizations (NPO). The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes.

  • Lingua: Inglese

    Editore: Springer Nature Switzerland AG Aug 2026, 2026

    3032176204 / 9783032176202

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 53,49

    EUR 23,00 spedizione 
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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book challenges the conventional idea of organizational learning by emphasizing the importance of intentional forgetting alongside information retention. It explores how intentional forgetting can free up cognitive, organizational, and technological resources, enabling organizations to adapt effectively to changing environments and remain resilient in the face of challenges. This shift in perspective highlights intentional forgetting as a crucial aspect of developing dynamic capabilities and coping with the ever-growing volume of stored information in modern organizations. The book provides an interdisciplinary perspective on the most recent research in intentional forgetting with joint contributions from psychology, computer science, information systems research, and engineering. These contributions cover the theory of intentional forgetting, methods, and paradigms to analyze and design intentional forgetting in organizations, as well as practical applications of intentional forgetting.The book examines the intricate mechanisms of human and machine forgetting, particularly relevant within technical and organizational spheres. Through practical demonstrations, it showcases how established organizational theories can be leveraged to empower information systems within organizations to engage in forgetting. Furthermore, it presents interdisciplinary methodologies and pathways for organizations to effectively manage the ever-expanding volume of stored information while strategically implementing forgetting as a vital tool for optimization.The book offers inspiration to business information scientists, computer scientists, and organizational designers, urging them to draw parallels with human memory to devise innovative solutions for effectively managing the overwhelming influx of information and data. 216 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Verlag GmbH, 2026

    3032176204 / 9783032176202

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: Nuovo

    EUR 48,74

    EUR 48,99 spedizione 
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    Quantità: Più di 20 disponibili

    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Lingua: Inglese

    Editore: Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    EUR 118,26

    EUR 11,00 spedizione 
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    Quantità: Più di 20 disponibili

    Condizione: new. Questo è un articolo print on demand.

  • Lingua: Inglese

    Editore: Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Feb 2022, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 149,79

    EUR 23,00 spedizione 
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    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The business problem of having inefficient processes, imprecise process analyses and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating and optimizing processes, this paper proposes a flexible Concept of Neuronal Modeling (CoNM). The modeling concept, which is described by the modeling language designed and its mathematical formulation and is connected to a technical substantiation, is based on a collection of novel sub-artifacts. As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS) and Neuronal Process Optimizations (NPO). The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes. 904 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, Berlin|Springer Fachmedien Wiesbaden|Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: moluna, Greven, Germaniamoluna

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    EUR 127,40

    EUR 48,99 spedizione 
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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The business problem of having inefficient processes, imprecise process analyses and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept.The business problem of having inefficient .

  • Lingua: Inglese

    Editore: Springer Gabler Feb 2022, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 149,79

    EUR 60,00 spedizione 
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    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Introduction.- Problem Analysis and Problem Statement.- Objectives and Methodology.- Design.- Implementation.- Demonstration.- Evaluation.- Concluding Remark.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 904 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: Nuovo

    EUR 213,39

    EUR 7,58 spedizione 
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    Quantità: 4 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Springer Gabler, 2022

    3658359986 / 9783658359980

    Serie: Libro 7 di 8 - Gabler Theses

    • Brossura
    • Print on Demand

    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: Nuovo

    EUR 217,07

    EUR 9,95 spedizione 
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    Quantità: 4 disponibili

    Condizione: New. PRINT ON DEMAND.