Advanced Intelligent Computing Technology and Applications PDF Download

Author: De-Shuang Huang
Publisher: Springer Nature
ISBN: 9819756065
Category :
Languages : en
Pages : 511

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Book Description

Author: Jianping Wang
Publisher: Springer Nature
ISBN: 9819757606
Category :
Languages : en
Pages : 230

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Book Description

Author: Zhaoquan Gu
Publisher: Springer Nature
ISBN: 9819745225
Category :
Languages : en
Pages : 451

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Book Description

Author: Catherine McGeoch
Publisher: Frontiers Media SA
ISBN: 2832554369
Category : Science
Languages : en
Pages : 149

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Book Description
The past decade has seen four generations of quantum annealing processors, with qubit counts increasing from 512 on the D-Wave Two (released in 2013), to over 5000 on Advantage processors available in 2023. During this time, expanding access for researchers has sparked enormous growth in publications and in the body of knowledge surrounding capabilities, applications, and best practices in use of these novel computing systems. This Research Topic will invite submissions on all aspects of empirical experience with annealing-based quantum computers. The intention is to present a broad survey of the current state of knowledge about quantum annealing hardware, performance, software infrastructures, and applications.

Author: Joaquin Garcia-Alfaro
Publisher: Springer Nature
ISBN: 3031708962
Category :
Languages : en
Pages : 461

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Book Description

Author: Ji Su Park
Publisher: Springer Nature
ISBN: 9819982111
Category : Computers
Languages : en
Pages : 325

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Book Description
This book constitutes the refereed proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) which was held in Jeju, Korea in August, 2023. The papers of this volume are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication systems.

Author: Anton Eremeev
Publisher: Springer Nature
ISBN: 303162792X
Category :
Languages : en
Pages : 484

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Author: Matthias Galster
Publisher: Springer Nature
ISBN: 3031707974
Category :
Languages : en
Pages : 426

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Book Description

Author: Pierrick Legrand
Publisher: Springer Nature
ISBN: 3031426169
Category : Computers
Languages : en
Pages : 234

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Book Description
This book constitutes the refereed post-conference proceedings of the 15th International Conference, Évolution Artificielle, EA 2022, held in Exeter, UK, during October 31–November 2, 2022. The 15 full papers were carefully reviewed and selected from 18 submissions. The papers cover a wide range of topics in the field of artificial evolution, including, but not limited to: evolutionary computation, evolutionary optimization, coevolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations.

Author: Bharat Bhushan
Publisher: Springer Nature
ISBN: 3031319524
Category : Computers
Languages : en
Pages : 396

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Book Description
The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.