Articoli correlati a Data Analytics for Process Engineers: Prediction, Control...
- EditoreSpringer Nature
- Data di pubblicazione2023
- ISBN 10 3031468651
- ISBN 13 9783031468650
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine156
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Data Analytics for Process Engineers: Prediction, Control and Optimization (Synthesis Lectures on Mechanical Engineering)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP. Codice articolo 26399312736
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Data Analytics for Process Engineers : Prediction, Control and Optimization
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Data Analytics for Process Engineers: Prediction, Control and Optimization (Synthesis Lectures on Mechanical Engineering)
Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Codice articolo 398112959
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Data Analytics for Process Engineers : Prediction, Control and Optimization
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Data Analytics for Process Engineers: Prediction, Control and Optimization (Synthesis Lectures on Mechanical Engineering)
Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. Codice articolo 18399312746
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Data Analytics for Process Engineers (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2023
ISBN 10: 3031468651
ISBN 13: 9783031468650
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Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Hardcover. Condizione: new. Hardcover. This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization of processes. While many of the current data analytics books target business-related problems, the rationale for this book is a specific need to understand and select applicable data analytics approaches pragmatically to analyze process engineeringrelated problems; this tailored solution for engineers gets amalgamated with governing equations, and in several cases, with the physical understanding of the phenomenon being analyzed. We also consider this book strategically conceived to help map Education 4.0 with Industry 4.0 since it can support undergraduate and graduate students to gain valuable and applicable data analytics stills that can be further used in their workplace. Moreover, itcan be used as a reference book for professionals, a quick reference to data analytics tools that can facilitate and/or optimize their process engineering tasks. This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization of processes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783031468650
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Data Analytics for Process Engineers : Prediction, Control and Optimization
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Data Analytics for Process Engineers : Prediction, Control and Optimization
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: As New. Unread book in perfect condition. Codice articolo 46834980
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Data Analytics for Process Engineers
Editore:
Springer Nature Switzerland Dez 2023, 2023
ISBN 10: 3031468651
ISBN 13: 9783031468650
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization of processes. While many of the current data analytics books target business-related problems, the rationale for this book is a specific need to understand and select applicable data analytics approaches pragmatically to analyze process engineering-related problems; this tailored solution for engineers gets amalgamated with governing equations, and in several cases, with the physical understanding of the phenomenon being analyzed. We also consider this book strategically conceived to help map Education 4.0 with Industry 4.0 since it can support undergraduate and graduate students to gain valuable and applicable data analytics stills that can be further used in their workplace. Moreover, it can be used as a reference book for professionals, a quick reference to data analytics tools that can facilitate and/or optimize their process engineering tasks. 156 pp. Englisch. Codice articolo 9783031468650
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Data Analytics for Process Engineers : Prediction, Control and Optimization
ISBN 10: 3031468651
ISBN 13: 9783031468650
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization of processes. While many of the current data analytics books target business-related problems, the rationale for this book is a specific need to understand and select applicable data analytics approaches pragmatically to analyze process engineering-related problems; this tailored solution for engineers gets amalgamated with governing equations, and in several cases, with the physical understanding of the phenomenon being analyzed. We also consider this book strategically conceived to help map Education 4.0 with Industry 4.0 since it can support undergraduate and graduate students to gain valuable and applicable data analytics stills that can be further used in their workplace. Moreover, itcan be used as a reference book for professionals, a quick reference to data analytics tools that can facilitate and/or optimize their process engineering tasks. Codice articolo 9783031468650
Quantità: 1 disponibili