9783030103736 - laser scanning systems in highway & safety assessment: analysis of highway geometry form lidar di pradhan, biswajeet (11 risultati)
Lingua: Inglese
Editore: Cham, Switzerland, Springer Nature., 2020
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
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Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, GermaniaUniversitätsbuchhandlung Herta Hold GmbH
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EUR 18,00
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XV, 157 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Science, Technology & Innovation. Sprache: Englisch.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 138,65
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Hardcover. Condizione: new. Hardcover. This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology wit…h creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks. This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 160,57
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Condizione: New.
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Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 117,69
EUR 63,49 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the re…ader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks.
Lingua: Inglese
Editore: Springer Verlag, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 171,41
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Hardcover. Condizione: Brand New. 157 pages. 9.25x6.10x0.55 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
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- Print on Demand
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, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
- Rilegato
- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Lingua: Inglese
Editore: Springer International Publishing Apr 2019, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 117,69
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book…introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks. 176 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 165,12
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 165,97
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
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Lingua: Inglese
Editore: Springer, Springer Apr 2019, 2019
Serie: Libro 17 di 129 - Advances in Science, Technology & Innovation
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 117,69
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Presents an overview of laser scanning technology in the context of road geometry modellingIncludes a comprehensive review on road geometry modelling and traffic accident prediction with neural networksIntroduces neural networks with simple t…heoretical backgrounds and creative illustrationContains special chapters on novel deep learning models developed for predicting traffic accidentsIncludes a comparative study between neural networks and statistical methodsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.
