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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: New. 2023. Hardcover. . . . . .
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Añadir al carritoHardcover. Condición: Brand New. 175 pages. 8.50x6.25x0.75 inches. In Stock.
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Añadir al carritoCondición: New. 2023. Hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Springer International Publishing, 2023
ISBN 10: 3031323084 ISBN 13: 9783031323089
Librería: moluna, Greven, Alemania
EUR 56,43
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Añadir al carritoCondición: New. Defines and explores the key drivers and barriers for deep renovationOffers insight from international experts that will be relevant to all major markets for constructionDigestible chapters provide individual analyses for different technolo.
Idioma: Inglés
Publicado por Springer International Publishing, 2023
ISBN 10: 3031323084 ISBN 13: 9783031323089
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The world's extant building stock accounts for a significant portion of worldwide energy consumption and greenhouse gas emissions. In 2020, buildings and construction accounted for 36% of global final energy consumption and 37% of energy related CO2 emissions. The EU estimates that up to 75% of the EU's existing building stock has poor energy performance, 85-95% of which will still be in use in 2050.To meet the goals of the Paris Agreement on Climate Change will require a transformation of construction processes and deep renovation of the extant building stock. It is widely recognized that ICTs can play an important role in construction, renovation and maintenance as well as supporting the financing of deep renovation. Technologies such as sensors, big data analytics and machine learning, BIM, digital twinning, simulation, robots, cobots and UAVs, and additive manufacturing are transforming the deep renovation process, improving sustainability performance, and developing new services and markets.This open access book defines a deep renovation digital ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research, and offering perspectives from business, technology and industry domains.This is an open access book.
Librería: Buchpark, Trebbin, Alemania
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The world¿s extant building stock accounts for a significant portion of worldwide energy consumption and greenhouse gas emissions. In 2020, buildings and construction accounted for 36% of global final energy consumption and 37% of energy related CO2 emissions. The EU estimates that up to 75% of the EU¿s existing building stock has poor energy performance, 85¿95% of which will still be in use in 2050.To meet the goals of the Paris Agreement on Climate Change will require a transformation of construction processes and deep renovation of the extant building stock. It is widely recognized that ICTs can play an important role in construction, renovation and maintenance as well as supporting the financing of deep renovation. Technologies such as sensors, big data analytics and machine learning, BIM, digital twinning, simulation, robots, cobots and UAVs, and additive manufacturing are transforming the deep renovation process, improving sustainability performance, and developing new services and markets.This open access book defines a deep renovation digital ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research, and offering perspectives from business, technology and industry domains.This is an open access book.
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: New.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Springer International Publishing Jul 2023, 2023
ISBN 10: 3031323084 ISBN 13: 9783031323089
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The world's extant building stock accounts for a significant portion of worldwide energy consumption and greenhouse gas emissions. In 2020, buildings and construction accounted for 36% of global final energy consumption and 37% of energy related CO2 emissions. The EU estimates that up to 75% of the EU's existing building stock has poor energy performance, 85-95% of which will still be in use in 2050.To meet the goals of the Paris Agreement on Climate Change will require a transformation of construction processes and deep renovation of the extant building stock. It is widely recognized that ICTs can play an important role in construction, renovation and maintenance as well as supporting the financing of deep renovation. Technologies such as sensors, big data analytics and machine learning, BIM, digital twinning, simulation, robots, cobots and UAVs, and additive manufacturing are transforming the deep renovation process, improving sustainability performance, and developing new services and markets.This open access book defines a deep renovation digital ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research, and offering perspectives from business, technology and industry domains.This is an open access book. 196 pp. Englisch.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 73,32
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Chapter 1. Deep Renovation: Definitions, Drivers and Barriers.- Chapter 2. Embedded Sensors, Ubiquitous Connectivity and Tracking.- Chapter 3. Building Information Modelling.- Chapter 4. Building Performance Simulation.- Chapter 5. Big Data and analytics in the context of deep renovation lifecycle.- Chapter 6. Digital Twins and Their Roles in Building Deep Renovation Lifecycle.- Chapter 7. Additive Manufacturing and the Construction Industry.- Chapter 8. Intelligent Construction Equipment and Robotics.- Chapter 9. Cybersecurity Considerations for Deep Renovation.- Chapter 10. Financing building renovation: Financial technology as an alternative channel to mobilise private financing.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 83,20
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is a reprint of the Special Issue on 'Sensors and Advanced Sensing Techniques for Computer Vision Applications' aims to address many topics related to the challenging problems of computer vision and pattern recognition in conjunction with the emerging field of deep learning and remote sensing. As a result of the open call for papers, papers related to deep learning, neural networks, and soft computing have been accepted after a rigorous peer review process and assessed for their technical merit and relevance. The featured articles cover applications in the following fields: Deep learning for 2D/3D object recognition and classification; Autonomous navigation and robotic agents; Data augmentation in computer vision; Image fusion, segmentation, and classification from different sensors; Parallel Machine Learning; Photogrammetry and 3D point clouds; Multidisciplinary applications of deep learning, pattern recognition, and computer vision for driving assisting systems and aircraft industry.This reprint could serve as a valuable handbook for engineers being able to work on interdisciplinary topics and integrate technologies that eventually converge.