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Añadir al carritoTaschenbuch. Condición: Neu. Business Intelligence, Computational Mathematics, and Data Analytics | Second International Conference, IBCD 2025, Pune, India, September 26-27, 2025, Proceedings | Fernando Ortiz-Rodríguez (u. a.) | Taschenbuch | Communications in Computer and Information Science | xvi | Englisch | 2026 | Springer | EAN 9783032209061 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the Second International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2025, held in Pune, India, during September 26 27, 2025.The 36 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 343 submissions. These papers discuss the latest advancements and innovations in the fields of business intelligence, computational mathematics, and data analytics.
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.
Idioma: Inglés
Publicado por Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9819974550 ISBN 13: 9789819974559
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Añadir al carritoHardcover. Condición: new. Hardcover. This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here. This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoTaschenbuch. Condición: Neu. Machine Learning and Optimization for Engineering Design | Apoorva S. Shastri (u. a.) | Taschenbuch | Engineering Optimization: Methods and Applications | xiv | Englisch | 2025 | Springer | EAN 9789819974580 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.
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Añadir al carritoHardcover. Condición: Brand New. 178 pages. 9.26x6.10x0.63 inches. In Stock.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032209064 ISBN 13: 9783032209061
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Añadir al carritoPaperback. Condición: new. Paperback. This book constitutes the proceedings of the Second International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2025, held in Pune, India, during September 2627, 2025.The 36 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 343 submissions. These papers discuss the latest advancements and innovations in the fields of business intelligence, computational mathematics, and data analytics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Springer Nature Switzerland AG Mai 2026, 2026
ISBN 10: 3032209064 ISBN 13: 9783032209061
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the Second International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2025, held in Pune, India, during September 26 27, 2025.The 36 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 343 submissions. These papers discuss the latest advancements and innovations in the fields of business intelligence, computational mathematics, and data analytics. 473 pp. Englisch.
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ISBN 10: 3032209064 ISBN 13: 9783032209061
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Añadir al carritoPaperback. Condición: new. Paperback. This book constitutes the proceedings of the Second International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2025, held in Pune, India, during September 2627, 2025.The 36 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 343 submissions. These papers discuss the latest advancements and innovations in the fields of business intelligence, computational mathematics, and data analytics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the proceedings of the Second International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2025, held in Pune, India, during September 2627, 2025.The 36 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 343 submissions. These papers discuss the latest advancements and innovations in the fields of business intelligence, computational mathematics, and data analytics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 492 pp. Englisch.
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ISBN 10: 3032209064 ISBN 13: 9783032209061
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Añadir al carritoPaperback. Condición: new. Paperback. This book constitutes the proceedings of the Second International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2025, held in Pune, India, during September 2627, 2025.The 36 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 343 submissions. These papers discuss the latest advancements and innovations in the fields of business intelligence, computational mathematics, and data analytics. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore Jan 2025, 2025
ISBN 10: 9819974585 ISBN 13: 9789819974580
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here. 180 pp. Englisch.
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Idioma: Inglés
Publicado por Springer Nature Singapore, 2024
ISBN 10: 9819974550 ISBN 13: 9789819974559
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes papers on machine learning-based algorithms in the field of optimization and engineering designConsists of comprehensive research on optimization engineeringPresents state-of-the-art research work with illustrations and exercises a.
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Publicado por Springer, Springer Dez 2023, 2023
ISBN 10: 9819974550 ISBN 13: 9789819974559
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 181,89
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here. 180 pp. Englisch.
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EUR 226,91
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Idioma: Inglés
Publicado por Springer, Springer Jan 2025, 2025
ISBN 10: 9819974585 ISBN 13: 9789819974580
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 181,89
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch.