Yudin Dmitry (26 results)

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  • Language: English

    Published by World Scientific Publishing Euro, 2021

    1786349817 / 9781786349811

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  • Language: English

    Published by Wspc (Europe), 2021

    1786349817 / 9781786349811

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    Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

  • Language: English

    Published by Wspc (Europe), 2021

    1786349817 / 9781786349811

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    6139886864 / 9786139886869

    • Softcover

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    Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

  • Language: English

    Published by Wspc (Europe), 2021

    1786349817 / 9781786349811

    • Hardcover

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  • Language: English

    Published by Wspc (Europe), 2021

    1786349817 / 9781786349811

    • Hardcover

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    6139886864 / 9786139886869

    • Softcover

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    Taschenbuch. Condition: Neu. Recognition of road scene elements using deep neural networks | Monograph | Dmitry Yudin | Taschenbuch | 96 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139886869 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Language: English

    Published by Wspc (Europe), 2021

    1786349817 / 9781786349811

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    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by World Scientific Pub Co Inc, 2021

    1786349817 / 9781786349811

    • Hardcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Hardcover. Condition: Brand New. 230 pages. 9.25x6.25x1.00 inches. In Stock.

  • Language: English

    Published by Springer, 2025

    3031804627 / 9783031804625

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    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

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    Taschenbuch. Condition: Neu. Advances in Neural Computation, Machine Learning, and Cognitive Research VIII | Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia | Vladimir Redko (u. a.) | Taschenbuch | xx | Englisch | 2026 | Springer | EAN 9783031854538 | 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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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21-25, 2024, in Moscow, Russia.

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21-25, 2024, in Moscow, Russia.

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    Hardcover. Condition: Brand New. 553 pages. 9.25x6.10x9.21 inches. In Stock.

  • Language: English

    Published by LAP LAMBERT Academic Publishing Jul 2018, 2018

    6139886864 / 9786139886869

    • Softcover
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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The monograph presents modern approaches to the analysis of the road environment images based on deep learning. The neural network architectures for solving problems of classification, segmentation of images, detection of objects on them are considered. Author analyzes in detail the deep neural network architectures for the detection of the road scene elements (vehicles, traffic lights) on the images from the on-board video camera. A solution is proposed for calculation of founded vehicle position. The approach to the use of convolutional neural networks of different architectures has been analyzed to detect the visibility loss of a video camera on the basis of recognition of images obtained from it. Author describes tools for creating datasets in the traffic scene recognition tasks. Author also presents examples of software and hardware implementation for these architectures using a graphics processor and NVidia CUDA technology. The publication is intended for scientists and engineers engaged in the development of machine vision systems using deep convolutional neural networks and may be useful for lecturers, students and postgraduates of relevant university specialties. 96 pp. Englisch.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    6139886864 / 9786139886869

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yudin DmitryDmitry Yudin, PhD, associate professor of Technical cybernetics department of Belgorod state technological university named after V.G. Shukhov, Belgorod, winner of grant competition of the President of the Russian Federa.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    6139886864 / 9786139886869

    • Softcover
    • Print on Demand

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The monograph presents modern approaches to the analysis of the road environment images based on deep learning. The neural network architectures for solving problems of classification, segmentation of images, detection of objects on them are considered. Author analyzes in detail the deep neural network architectures for the detection of the road scene elements (vehicles, traffic lights) on the images from the on-board video camera. A solution is proposed for calculation of founded vehicle position. The approach to the use of convolutional neural networks of different architectures has been analyzed to detect the visibility loss of a video camera on the basis of recognition of images obtained from it. Author describes tools for creating datasets in the traffic scene recognition tasks. Author also presents examples of software and hardware implementation for these architectures using a graphics processor and NVidia CUDA technology. The publication is intended for scientists and engineers engaged in the development of machine vision systems using deep convolutional neural networks and may be useful for lecturers, students and postgraduates of relevant university specialties.

  • Language: English

    Published by World Scientific Pub Co Inc, 2021

    1786349817 / 9781786349811

    • Hardcover
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    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Hardcover. Condition: Brand New. 230 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.

  • Language: English

    Published by LAP LAMBERT Academic Publishing Jul 2018, 2018

    6139886864 / 9786139886869

    • Softcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The monograph presents modern approaches to the analysis of the road environment images based on deep learning. The neural network architectures for solving problems of classification, segmentation of images, detection of objects on them are considered. Author analyzes in detail the deep neural network architectures for the detection of the road scene elements (vehicles, traffic lights) on the images from the on-board video camera. A solution is proposed for calculation of founded vehicle position. The approach to the use of convolutional neural networks of different architectures has been analyzed to detect the visibility loss of a video camera on the basis of recognition of images obtained from it. Author describes tools for creating datasets in the traffic scene recognition tasks. Author also presents examples of software and hardware implementation for these architectures using a graphics processor and NVidia CUDA technology. The publication is intended for scientists and engineers engaged in the development of machine vision systems using deep convolutional neural networks and may be useful for lecturers, students and postgraduates of relevant university specialties.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.

  • Language: English

    Published by WSPC (Europe), 2021

    1786349817 / 9781786349811

    • Hardcover
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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnCurrently, solving problems based on designing and calculating complex structures with significant nonlinearity usually require:Expensive and difficult to learn software packagesnHigh-performance computersnSpare time as calculatio.

  • Language: English

    Published by Springer, 2025

    3031804627 / 9783031804625

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  • Language: English

    Published by Springer Verlag GmbH, 2025

    3031804627 / 9783031804625

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  • Language: English

    Published by Springer Mär 2026, 2026

    3031854535 / 9783031854538

    • Softcover
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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21-25, 2024, in Moscow, Russia. 556 pp. Englisch.

  • Language: English

    Published by Springer, Springer Mär 2025, 2025

    3031804627 / 9783031804625

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21-25, 2024, in Moscow, Russia. 556 pp. Englisch.

  • Language: English

    Published by Springer Mär 2026, 2026

    3031854535 / 9783031854538

    • Softcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21-25, 2024, in Moscow, Russia. 556 pp. Englisch.

  • Language: English

    Published by Springer, Springer Mär 2025, 2025

    3031804627 / 9783031804625

    • Hardcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21-25, 2024, in Moscow, Russia.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 556 pp. Englisch.