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hardcover. Zustand: Fine.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Anbieter: GreatBookPrices, Columbia, MD, USA
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days.
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Anbieter: Books Puddle, New York, NY, USA
Zustand: New.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2015
ISBN 10: 3659710423 ISBN 13: 9783659710421
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 146,55
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In den Warenkorbpaperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 177,81
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In den WarenkorbHardcover. Zustand: Brand New. 232 pages. 9.18x6.12x9.45 inches. In Stock.
Anbieter: Basi6 International, Irving, TX, USA
Zustand: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659710423 ISBN 13: 9783659710421
Anbieter: moluna, Greven, Deutschland
EUR 50,66
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chakrabarty SuhritaSuhrita Chakrabarty,Ph.D in Horticulture,is Associate Professor at Bidhan Chandra Krishi Viswavidyalaya, West Bengal, India. She has headed nine research projects on technology refinement and livelihood development.
Sprache: Englisch
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032655003 ISBN 13: 9781032655000
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.This book:Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysisOffers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysisDiscusses multi-objective optimization for product design and development through data-driven decision-makingExplains information processing and analysis through data visualization and data miningCovers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applicationsIt is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering. The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It also discusses topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, amongst many others. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659710423 ISBN 13: 9783659710421
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Studies on Efficiency Of Selected Cold Storages' regarding Storage Of Potato, Fruits And Vegetables' vividly expressed that cold storages could play an important role in the preservation of perishables especially fruits and vegetables. We found that the most obvious losses after harvest were caused by mechanical injury, decay and aging. Losses in moisture, sugars and starches were less obvious, but they adversely affected consumer's acceptability including colour and weight. We could also find that rough handling and holding at undesirably high temperature or too low temperature increased losses and such losses can be substantially reduced by adopting proper storage conditions. Among seventeen commodities selected for the experiment we could classify them in to three groups as per duration of storage. Group I: Very long term storage group (3months): The horticultural produce placed in this group are potato, beetroot, carrot and apple. Most of the vegetables belonging to this group were underground storage tubers with less moisture content. Group II: Long term storage group (2-3months): Commodities placed in this group are cabbage, tomato, chilli, pointed gourd, mandarin, grapes.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.This book:Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysisOffers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysisDiscusses multi-objective optimization for product design and development through data-driven decision-makingExplains information processing and analysis through data visualization and data miningCovers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applicationsIt is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering. 200 pp. Englisch.
Sprache: Englisch
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032655003 ISBN 13: 9781032655000
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
EUR 112,02
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In den WarenkorbHardcover. Zustand: new. Hardcover. The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.This book:Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysisOffers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysisDiscusses multi-objective optimization for product design and development through data-driven decision-makingExplains information processing and analysis through data visualization and data miningCovers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applicationsIt is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering. The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It also discusses topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, amongst many others. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Anbieter: moluna, Greven, Deutschland
EUR 104,83
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sourabh Mandol is a skilled data analyst and researcher with a PhD. in Product Design & Development from IIT Kharagpur, India. Specializing in data-driven modeling and machine learning applications in engineering, Dr. Mandol has extensive expertise i.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 156,35
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.This book:Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysisOffers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysisDiscusses multi-objective optimization for product design and development through data-driven decision-makingExplains information processing and analysis through data visualization and data miningCovers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applicationsIt is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.