Автор: Tony Lewin Название: BMW M - 50 Years of the Ultimate Driving Machines ISBN: 0760368481 ISBN-13(EAN): 9780760368480 Издательство: Quarto Рейтинг: Цена: 5082.00 р. Наличие на складе: Есть (4 шт.) Описание: Simplify and planet-proof your beauty routine and dresser with Sustainable Beauty. Featuring all the eco-friendly practical information and guidance you need, plus over 20 step-by-step projects and tutorials to start making your own zero-waste beauty products. Written by leading authority and make up artist to the stars Justine Jenkins.
Автор: Vicente A. Gonz?lez, Farook Hamzeh, Luis Название: Lean construction 4.0 : ISBN: 0367714205 ISBN-13(EAN): 9780367714208 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Поставка под заказ.
Описание: This book introduces and develops the novel concept of Lean Construction 4.0. The chapters provide practitioners and academics with a provocative reflection on the theoretical and practical aspects that shape the Lean Construction 4.0 concept.
Описание: This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.
Описание: A new up-to-date edition of Graham Robson`s comprehensive book of the BMW M3 and M4. Covering the complete history of the cars, right up to 2020, it includes full model specs and details of racing successes. It is lavishly illustrated throughout with colour photos and detailed cutaway drawings.
Автор: Amidpour Majid, Ebadollahi Mohammad, Jabari Farkhondeh Название: Synergy Development in Renewables Assisted Multi-carrier Systems ISBN: 3030907198 ISBN-13(EAN): 9783030907198 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the different aspects of energy in human life especially expressing the advanced technologies in renewable energy resources. Due to the environmental pollution caused by fossil fuels and the non-permanent nature of these resources, the move towards the use of renewable energy has accelerated. In recent years, many attempts have been made to improve energy systems' performance by using multi-generation units, and these set-ups have been analyzed from the perspective of energy, exergy, economics, and environmental indicators. The book's primary goal is the effort to introduce new methods for assessing and upgrading the synergy. Therefore it examines sustainable practices such as water-energy-food nexus in poly-generation units, novel desalination systems, and smart greenhouses. One of the significant issues in these energy systems is the storage methods; for instance, carbon capture to reduce environmental pollution and the hydrogen store for the utilization in supplementary fuel. Also, robust optimization, uncertainty and risk-aware probabilistic analysis, energy management, and power supply of sensitive places such as oil rig platforms by renewables are examined.
Автор: Marques Gonзalo, Bhoi Akash Kumar, Albuquerque Victor Hugo C. de Название: IoT in Healthcare and Ambient Assisted Living ISBN: 9811598991 ISBN-13(EAN): 9789811598999 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL).
Описание: and machine learning - weakly supervised learningPart III: machine learning - advances in machine learning theory; and clinical applications - vascularPart VII: clinical applications - abdomen; and clinical applications - oncologyPart VIII: clinical applications - ophthalmology;
Автор: Bettelli Название: Ambient Assisted Living ISBN: 3031088379 ISBN-13(EAN): 9783031088377 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides state-of-the-art information on ambient assisted living (AAL), and focuses on technologies, services, living spaces, policies, and interventions to promote health, improve quality of life, and active aging. It includes various research contributions, case studies, and projects where assistive technologies are successfully applied in the field, and it covers a wide range of topics: Tailoring products and services to the Aging society, Bio-data and Artificial sensing AAL scenarios, Cognition, and Technologies, and Designing for Inclusion and Well-Being. The volume gathers the refereed proceedings of the 11th Italian Forum on Ambient Assisted Living (AAL), ForItAAL2020. This annual event involves companies, researchers, and stakeholders involved in the field of Ambient Assisted Living, it took place online due to the pandemic situation of Covid-19, and was organized by the University of Padua through the Human Inspired Technologies Research Centre and the Regional Innovative Network “ICT for Smart and Sustainable Living” with the contribution of the Smart Living Technologies’ Cluster. With its wide-ranging contributions to the topic, the book will inspire the readers and the researchers to continue their exploration of AAL technologies to support the development of products and services that make a real difference in people’s daily lives.
Описание: The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.
Описание: The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.
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