Lingua: Inglese
Editore: Springer, 2005
Da: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germania
Membro dell'associazione: GIAQ
EUR 20,40
Quantità: 1 disponibili
Aggiungi al carrelloHardcover/Pappeinband. Condizione: Sehr gut. 233 p. Very good. Shrink wrapped. / Sehr guter Zustand. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 571.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
EUR 116,05
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 114,33
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 114,32
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 123,55
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Condizione: New. pp. xx + 213 Softcover reprint of hardcover 1st ed. 2005 edition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 238.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2005
ISBN 10: 3540232192 ISBN 13: 9783540232193
Da: moluna, Greven, Germania
EUR 118,64
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Aggiungi al carrelloCondizione: New. Introduction to the engineering aspects of intelligent hybrid systemsPresents fundamentals, background information, and practical methods for building an intelligent hybrid systemQuickly familiarizes newcomers to the field with engineering .
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 168,72
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 185,18
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 185,50
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 176,00
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 179,57
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 209,89
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 212,36
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Royal Society of Chemistry, GB, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output.Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.
Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 239,54
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Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: INDOO, Avenel, NJ, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 249,19
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Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 250,11
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 248,92
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 244,51
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Royal Society of Chemistry, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 248,80
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Royal Society of Chemistry, GB, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 276,07
Quantità: 5 disponibili
Aggiungi al carrelloHardback. Condizione: New. The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output.Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.
Lingua: Inglese
Editore: Royal Society of Chemistry, Cambridge, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output.Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment. This book discusses challenges for big data predictive toxicology and applications of toxicological big data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Royal Society of Chemistry, GB, 2019
ISBN 10: 1782622985 ISBN 13: 9781782622987
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output.Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.