Sustainable Cities: Big Data, Artificial Intelligence and the Rise of Green, "Cy-Phy " Cities, Scardovi Claudio
Автор: Kirwan, Christopher Grant Название: Smart Cities And Artificial Intelligence ISBN: 0128170247 ISBN-13(EAN): 9780128170243 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Exploring cities as real-time, living, dynamic systems, and providing tools and formats including generative design and living lab models that support cities to become self-regulating, this book provides readers with a conceptual and practical knowledge base to grasp and apply the key principles required in the planning, design, and operations of smart cities.
Smart Cities and Artificial Intelligence brings a multidisciplinary, integrated approach, examining how the digital and physical worlds are converging, and how a new combination of human and machine intelligence is transforming the experience of the urban environment. It presents a fresh holistic understanding of smart cities through an interconnected stream of theory, planning and design methodologies, system architecture, and the application of smart city functions, with the ultimate purpose of making cities more liveable, sustainable, and self-sufficient.
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Автор: Anandakumar Haldorai, Arulmurugan Ramu Название: Big Data Analytics for Sustainable Computing ISBN: 1522597514 ISBN-13(EAN): 9781522597513 Издательство: Mare Nostrum (Eurospan) Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Автор: Anandakumar Haldorai, Arulmurugan Ramu Название: Big Data Analytics for Sustainable Computing ISBN: 1522597506 ISBN-13(EAN): 9781522597506 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science.
Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Автор: Seghrouchni Название: Enablers for Smart Cities ISBN: 184821958X ISBN-13(EAN): 9781848219588 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Smart cities are a new vision for urban development. They integrate information and communication technology infrastructures - in the domains of artificial intelligence, distributed and cloud computing, and sensor networks - into a city, to facilitate quality of life for its citizens and sustainable growth. This book explores various concepts for the development of these new technologies (including agent-oriented programming, broadband infrastructures, wireless sensor networks, Internet-based networked applications, open data and open platforms), and how they can provide smart services and enablers in a range of public domains.
The most significant research, both established and emerging, is brought together to enable academics and practitioners to investigate the possibilities of smart cities, and to generate the knowledge and solutions required to develop and maintain them.
Автор: Juan Du, Kangjuan Lyu, Vijayan Sugumaran Название: AI-Based Services for Smart Cities and Urban Infrastructure ISBN: 1799850242 ISBN-13(EAN): 9781799850243 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens.
AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.
Автор: Vladislav A. Blatov, Tilmann Leisegang Название: Single Crystals: Complexity, Structures, Properties ISBN: 3110528797 ISBN-13(EAN): 9783110528794 Издательство: Walter de Gruyter Цена: 26024.00 р. Наличие на складе: Нет в наличии.
Описание: The book gives a comprehensive overview on the crystalline state, starting form its importance, diverse, and complexity, including peculiarities of the crystal structure, over the manifold properties up to the use of crystalline materials in industry and in particular for material and energy conversion applications, including aspects of availability of resources and economic considerations as well as theoretical and experimental methods for their understanding.
Описание: Kenneth Geddes Wilson (1936-2013) - intellectual giant, Nobel Laureate, intrepid scholar, visionary thinker, pioneering physicist and a person of conscience - made seminal contributions to the foundations of contemporary physics and undertook tireless efforts to bring reforms in the educational system.
Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti Название: Quantum Machine Learning ISBN: 311067064X ISBN-13(EAN): 9783110670646 Издательство: Walter de Gruyter Цена: 20446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples
Описание: This book explores the complex ways in which algorithms and big data are reshaping everyday culture, while at the same time perpetuating inequality and intersectional discrimination. It situates issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity.
The main focus of this year's Proceedings of the 53rd Course of the International School of Subnuclear Physics is the future of physics, including the new frontiers in other fields.
Sample Chapter(s) The Future of Our Physics (15,569 KB)
Contents: The Future of Our Physics (A Zichichi); Majorana Fermions in Particle Physics, Solid State and Quantum Information (M J Duff); Majorana Fermions, Supersymmetry Breaking, and Born-Infeld Theory (S Ferrara); Gravity as the Square of Yang-Mills? (M J Duff); Strong Coupling and Classicalization (G Dvali); Texture Zero Mass Matrices and Flavour Mixing of Quarks and Leptons (H Fritzsch); Roadmap at the LHC to the Higgs Boson and Beyond (P Jenni); IceCube: The Discovery of High-Energy Cosmic Neutrinos (F Halzen); New Physics is Needed to Understand Black Holes (G 't Hooft); Low-ℓ CMB from String-Scale SUSY Breaking? (A Sagnotti); The LAA Impact on Technology R&D: From Past to Future (H Wenninger); Neutrinos: Measuring the Unexpected (A Bettini); Highlights from INFN (F Ferroni); Highlights from ALICE (P Giubellino); The High Luminosity LHC Project (L Rossi); Highlights from BNL and RHIC 2015 (M J Tannenbaum); LHCb -- Selected Highlights and Future Prospects (G Wilkinson); Cosmology and Fundamental Physics (P Ferreira); Planck Satellite: Latest Data and Proof of Inflation (A Riazuelo); Neutrino Physics in China (L Wen); New Talents Celebration (A Zichichi); Diplomas and Awards; Participants;
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