Najafzadeh mohammad (20 risultati)
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Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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paperback. Condizione: Fine.
Lingua: Inglese
Editore: Springer, 2025
Serie: Libro 549 di 578 - Communications in Computer and Information Science
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 13-14, 2024.The 17 full papers presented in this book were carefully reviewed and select…ed from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning;Applications of Large Language Models;AI in Healthcare and Medical Imaging;AI for Disaster Management and Renewable Energy andChallenges and Ethical Considerations in AI.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2025
Serie: Libro 549 di 578 - Communications in Computer and Information Science
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. revised edition. 277 pages. 9.26x6.11x9.21 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2025
Serie: Libro 549 di 578 - Communications in Computer and Information Science
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Taschenbuch. Condizione: Neu. Advanced Computing | 14th International Conference, IACC 2024, Bali, Indonesia, December 13-14, 2024, Revised Selected Papers | Deepak Garg (u. a.) | Taschenbuch | Communications in Computer and Information Science | xxi | Englisch | 2025 | Springer | EAN 9783031846014 | Verantwortliche Person für d…ie EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condizione: New. 2025. paperback. . . . . .
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Paperback. Condizione: Brand New. 428 pages. 6.00x9.00x1.50 inches. In Stock.
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Paperback. Condizione: New. Scouring at Bridge Piers Using Artificial Intelligence Models: Implementation and Prediction evaluates the effectiveness of various Artificial Intelligence (AI) models-such as Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adaptive Regres…sion Spline (MARS)-in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods. The author highlights the limitations of black-box AI models and aims to improve the empirical understanding of scouring data through advanced statistical analysis. Topics include · Methodologies to estimate scouring at bridge piers, · Effective parameters, · AI models and their setting parameters, and · Practical examples of AI models in scour depth prediction. Mohammad Najafzadeh has compiled this book as an innovative resource for bridge designers and professionals in field investigations and consultant engineering, such as hydraulic and transportation engineers, as well as professors and graduate students who seek to explore new potential for scouring at bridge piers using empirical equations and AI models to generate precise estimations of scour depth.
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Paperback. Condizione: new. Paperback. Scouring at Bridge Piers Using Artificial Intelligence Models: Implementation and Prediction evaluates the effectiveness of various Artificial Intelligence (AI) modelssuch as Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adapt…ive Regression Spline (MARS)in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods. The author highlights the limitations of black-box AI models and aims to improve the empirical understanding of scouring data through advanced statistical analysis. Topics include Methodologies to estimate scouring at bridge piers, Effective parameters, AI models and their setting parameters, and Practical examples of AI models in scour depth prediction. Mohammad Najafzadeh has compiled this book as an innovative resource for bridge designers and professionals in field investigations and consultant engineering, such as hydraulic and transportation engineers, as well as professors and graduate students who seek to explore new potential for scouring at bridge piers using empirical equations and AI models to generate precise estimations of scour depth. Advanced AI techniquesincluding Gene-Expression Programming, Evolutionary Polynomial Regression, Model Tree, and Multivariate Adaptive Regression Splineare benchmarked for predicting local scour depth at bridge piers. The work highlights the value of physical consistency and interpretability over traditional black-box methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. 2025. paperback. . . . . . Books ship from the US and Ireland.
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Paperback. Condizione: new. Paperback. Scouring at Bridge Piers Using Artificial Intelligence Models: Implementation and Prediction evaluates the effectiveness of various Artificial Intelligence (AI) modelssuch as Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adapt…ive Regression Spline (MARS)in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods. The author highlights the limitations of black-box AI models and aims to improve the empirical understanding of scouring data through advanced statistical analysis. Topics include Methodologies to estimate scouring at bridge piers, Effective parameters, AI models and their setting parameters, and Practical examples of AI models in scour depth prediction. Mohammad Najafzadeh has compiled this book as an innovative resource for bridge designers and professionals in field investigations and consultant engineering, such as hydraulic and transportation engineers, as well as professors and graduate students who seek to explore new potential for scouring at bridge piers using empirical equations and AI models to generate precise estimations of scour depth. Advanced AI techniquesincluding Gene-Expression Programming, Evolutionary Polynomial Regression, Model Tree, and Multivariate Adaptive Regression Splineare benchmarked for predicting local scour depth at bridge piers. The work highlights the value of physical consistency and interpretability over traditional black-box methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condizione: New. Scouring at Bridge Piers Using Artificial Intelligence Models: Implementation and Prediction evaluates the effectiveness of various Artificial Intelligence (AI) models-such as Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adaptive Regres…sion Spline (MARS)-in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods. The author highlights the limitations of black-box AI models and aims to improve the empirical understanding of scouring data through advanced statistical analysis. Topics include · Methodologies to estimate scouring at bridge piers, · Effective parameters, · AI models and their setting parameters, and · Practical examples of AI models in scour depth prediction. Mohammad Najafzadeh has compiled this book as an innovative resource for bridge designers and professionals in field investigations and consultant engineering, such as hydraulic and transportation engineers, as well as professors and graduate students who seek to explore new potential for scouring at bridge piers using empirical equations and AI models to generate precise estimations of scour depth.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condizione: new. Paperback. Scouring at Bridge Piers Using Artificial Intelligence Models: Implementation and Prediction evaluates the effectiveness of various Artificial Intelligence (AI) modelssuch as Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adapt…ive Regression Spline (MARS)in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods. The author highlights the limitations of black-box AI models and aims to improve the empirical understanding of scouring data through advanced statistical analysis. Topics include Methodologies to estimate scouring at bridge piers, Effective parameters, AI models and their setting parameters, and Practical examples of AI models in scour depth prediction. Mohammad Najafzadeh has compiled this book as an innovative resource for bridge designers and professionals in field investigations and consultant engineering, such as hydraulic and transportation engineers, as well as professors and graduate students who seek to explore new potential for scouring at bridge piers using empirical equations and AI models to generate precise estimations of scour depth. Advanced AI techniquesincluding Gene-Expression Programming, Evolutionary Polynomial Regression, Model Tree, and Multivariate Adaptive Regression Splineare benchmarked for predicting local scour depth at bridge piers. The work highlights the value of physical consistency and interpretability over traditional black-box methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer, 2025
Serie: Libro 549 di 578 - Communications in Computer and Information Science
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, Berlin, Springer Nature Switzerland, Springer, 2025
Serie: Libro 549 di 578 - Communications in Computer and Information Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 13-14, 2024.The 17 full papers presented in this book were carefully rev…iewed and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning;Applications of Large Language Models;AI in Healthcare and Medical Imaging;AI for Disaster Management and Renewable Energy andChallenges and Ethical Considerations in AI. 256 pp. Englisch.
Lingua: Inglese
Editore: Springer Verlag GmbH, 2025
Serie: Libro 549 di 578 - Communications in Computer and Information Science
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Da: moluna, Greven, Germaniamoluna
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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, Palgrave Macmillan Jun 2025, 2025
Serie: Libro 549 di 578 - Communications in Computer and Information Science
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 13-14, 2024.The 17 full papers presented in this book were carefully reviewe…d and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning; Applications of Large Language Models; AI in Healthcare and Medical Imaging; AI for Disaster Management and Renewable Energy and Challenges and Ethical Considerations in AI.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.
