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Collaborative Computing: Networking, Applications and Worksharing, Xinheng Wang; Honghao Gao; Muddesar Iqbal; Geyong


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Цена: 13696.00р.
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Автор: Xinheng Wang; Honghao Gao; Muddesar Iqbal; Geyong
Название:  Collaborative Computing: Networking, Applications and Worksharing
ISBN: 9783030301453
Издательство: Springer
Классификация:




ISBN-10: 3030301451
Обложка/Формат: Soft cover
Страницы: 829
Вес: 1.28 кг.
Дата издания: 2019
Серия: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 242 illustrations, color; 361 illustrations, black and white; xvi, 829 p. 603 illus., 242 illus. in color.
Размер: 234 x 156 x 43
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2019, held in London, UK, in August 2019. The 40 full papers, 8 short papers and 6 workshop presented were carefully reviewed and selected from 121 submissions. The papers reflect the conference sessions as follows: cloud, IoT and edge computing, collaborative IoT services and applications, artificial intelligence, software development, teleportation protocol and entanglement swapping, network based on the neural network, scheme based on blockchain and zero-knowledge proof in vehicle networking, software development.
Дополнительное описание: Cloud, IoT and Edge Computing.- Collaborative IoT Services and Applications.- Artificial Intelligence.- Software Development.- Teleportation Protocol and Entanglement Swapping.- Network based on the Neural Network.- Scheme Based on Blockchain and Zero-kno



Collaborative Computing: Networking, Applications, and Worksharing

Автор: Song Guo; Xiaofei Liao; Liu Fangming; Yanmin Zhu
Название: Collaborative Computing: Networking, Applications, and Worksharing
ISBN: 3319289098 ISBN-13(EAN): 9783319289090
Издательство: Springer
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Цена: 7826.00 р.
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Описание: Networking, technology and systems.- User interfaces and interaction paradigms.-Interoperation with application-specific components and tools.

Collaborative Computing: Networking, Applications and Worksharing

Автор: Honghao Gao; Xinheng Wang; Yuyu Yin; Muddesar Iqba
Название: Collaborative Computing: Networking, Applications and Worksharing
ISBN: 3030129802 ISBN-13(EAN): 9783030129804
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2018, held in Shanghai, China, in December 2018. The 43 full and 19 short papers presented were carefully reviewed and selected from 106 submissions. The papers reflect the conference sessions as follows: vehicular networks; social networks, information processing, data detection and retrieval & mobility, parallel computing, knowledge graph, cloud and optimization & software testing and formal verification; collaborative computing, social networks, vehicular networks, networks and sensors, information processing and collaborative computing, mobility and software testing and formal verification, web services and image information processing, web services and remote sensing.

Emerging Trends and Applications in Cognitive Computing

Автор: MALLICK & BORAH
Название: Emerging Trends and Applications in Cognitive Computing
ISBN: 1522557938 ISBN-13(EAN): 9781522557937
Издательство: Mare Nostrum (Eurospan)
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Цена: 26961.00 р.
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Описание: Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making.Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.

Intelligent Collaborative e-Learning Systems and Applications

Автор: Thanasis Daradoumis; Santi Caball?; Joan Manuel Ma
Название: Intelligent Collaborative e-Learning Systems and Applications
ISBN: 3642040004 ISBN-13(EAN): 9783642040009
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Focusing on what has become a major research theme in the CSCL and CSCW research community, the authors provide new insights, fresh results and imaginative approaches both on the analysis and the development of more powerful e-collaboration settings.

Coordination Technology for Collaborative Applications

Автор: Wolfram Conen; Gustaf Neumann
Название: Coordination Technology for Collaborative Applications
ISBN: 354064170X ISBN-13(EAN): 9783540641704
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This work provides an overview of co-ordination technology for collaborative applications. It covers organizational co-ordination; agent-based co-ordination; workflow and co-ordination; collaborative work; and technological considerations.

Machine Learning Applications: Emerging Trends

Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
Название: Machine Learning Applications: Emerging Trends
ISBN: 3110608537 ISBN-13(EAN): 9783110608533
Издательство: Walter de Gruyter
Цена: 18586.00 р.
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Описание:

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.

Deep Learning: Research and Applications

Автор: Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy
Название: Deep Learning: Research and Applications
ISBN: 3110670798 ISBN-13(EAN): 9783110670790
Издательство: Walter de Gruyter
Цена: 20446.00 р.
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Описание: This book will focus on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it would provide an insight of deep neural networks in action with illustrative coding examples. Moreover, the book will also provide video demonstrations on each chapter. Deep learning is a new area of machine learning research, which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non immediately related fields, for example between air pressure recordings and english words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g., classification) and/or unsupervised (e.g., pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition. The unique features of this book include: • tutorials on deep learning framework with focus on tensor flow, keras etc. • video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. • a score of worked out examples on real life applications. • illustrative diagrams • coding examples

Collaborative Computing: Networking, Applications and Worksharing

Автор: Imed Romdhani; Lei Shu; Hara Takahiro; Zhangbing Z
Название: Collaborative Computing: Networking, Applications and Worksharing
ISBN: 3030009157 ISBN-13(EAN): 9783030009151
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2017, held in Edinburgh, UK, in December 2017. The 65 papers presented were carefully reviewed and selected from 103 submissions and focus on electronic collaboration between distributed teams of humans, computer applications, and autonomous robots to achieve higher productivity and produce joint products.

Collaborate Computing: Networking, Applications and Worksharing

Автор: Shangguang Wang; Ao Zhou
Название: Collaborate Computing: Networking, Applications and Worksharing
ISBN: 3319592874 ISBN-13(EAN): 9783319592879
Издательство: Springer
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Цена: 11460.00 р.
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Описание:

This book constitutes the thoroughly refereed proceedings of the 12th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2016, held in Beijing, China, in November 2016.
The 66 papers presented were carefully reviewed and selected from 116 submissions and focus on topics such as: Participatory sensing, crowdsourcing, and citizen science; Architectures, protocols, and enabling technologies for collaborative computing networks and systems; Autonomic computing and quality of services in collaborative networks, systems, and applications; Collaboration in pervasive and cloud computing environments; Collaboration in data-intensive scientific discovery; Collaboration in social media; Big data and spatio-temporal data in collaborative environments/systems; Collaboration techniques in data-intensive computing and cloud computing.

Intelligent Networking, Collaborative Systems and Applications

Автор: Santi Caball?; Fatos Xhafa; Ajith Abraham
Название: Intelligent Networking, Collaborative Systems and Applications
ISBN: 364226591X ISBN-13(EAN): 9783642265914
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Social network analysis investigates the structure and dynamics of intelligent Web-based networking and collaborative systems. This volume covers the latest advances in the field that lead to competitive advantages in business and academia.

Advances in Intelligent Networking and Collaborative Systems

Автор: Leonard Barolli; Isaac Woungang; Omar Khadeer Huss
Название: Advances in Intelligent Networking and Collaborative Systems
ISBN: 331965635X ISBN-13(EAN): 9783319656359
Издательство: Springer
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Цена: 39130.00 р.
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Advances in Intelligent Networking and Collaborative Systems

Автор: Leonard Barolli; Hiroaki Nishino; Hiroyoshi Miwa
Название: Advances in Intelligent Networking and Collaborative Systems
ISBN: 3030290344 ISBN-13(EAN): 9783030290344
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This book presents the latest innovative research findings, methods, and development techniques related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, and secure intelligent cloud systems.


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