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  • Lingua: Inglese

    Editore: Springer International Publishing AG, Cham, 2024

    3031723805 / 9783031723803

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    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    EUR 54,78

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    Paperback. Condizione: new. Paperback. This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024.The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Condizione: Nuovo

    EUR 77,12

    EUR 30,50 spedizione 
    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open Access book constitutes the refereed proceedings of theFirst International Workshop onAI in Drug Discovery, AIDD 2024, held as a part of the33rd International Conference on Artificial Neural Networks, ICANN 2024,in Lugano, Switzerland, on September 19, 2024.The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, includingBig Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.

  • Condizione: Nuovo

    EUR 50,45

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. AI in Drug Discovery | First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings | Djork-Arné Clevert (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxxviii | Englisch | 2024 | Springer | EAN 9783031723803 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer International Publishing AG, Cham, 2024

    3031723805 / 9783031723803

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    Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 96,54

    EUR 32,32 spedizione 
    Spedito da Australia a U.S.A.

    Quantità: 1 disponibili

    Paperback. Condizione: new. Paperback. This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024.The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: Springer, 2024

    3031723805 / 9783031723803

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

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    Condizione: Nuovo

    EUR 46,22

    EUR 5,50 spedizione 
    Spedito da Italia a U.S.A.

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

  • Lingua: Inglese

    Editore: Springer Nature Switzerland Sep 2024, 2024

    3031723805 / 9783031723803

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

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    EUR 53,49

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open Access book constitutes the refereed proceedings of theFirst International Workshop onAI in Drug Discovery, AIDD 2024, held as a part of the33rd International Conference on Artificial Neural Networks, ICANN 2024,in Lugano, Switzerland, on September 19, 2024.The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, includingBig Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models. 216 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Verlag GmbH, 2024

    3031723805 / 9783031723803

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    Da: moluna, Greven, Germaniamoluna

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    EUR 48,37

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

  • Lingua: Inglese

    Editore: Springer, Springer Sep 2024, 2024

    3031723805 / 9783031723803

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 53,49

    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 -This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024.The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.