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Blockchain and Trustworthy Systems, Svetinovic


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Цена: 11179.00р.
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Автор: Svetinovic
Название:  Blockchain and Trustworthy Systems
ISBN: 9789811980428
Издательство: Springer
Классификация:





ISBN-10: 981198042X
Обложка/Формат: Soft cover
Страницы: 378
Вес: 0.60 кг.
Дата издания: 24.12.2022
Серия: Communications in Computer and Information Science
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 87 illustrations, color; 47 illustrations, black and white; xiii, 378 p. 134 illus., 87 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 4th international conference, blocksys 2022, chengdu, china, august 4-5, 2022, revised selected papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed post conference papers of the 4th International Conference on Blockchain and Trustworthy Systems, Blocksys 2022, held in Chengdu, China, in August 2022. The 26 full papers were carefully reviewed and selected from 56 submissions. The papers are organized in topical sections: Trustworthy Systems; Blockchain; Private Computing.
Дополнительное описание: Trustworthy Systems.- Secure and Efficient Agreement Signing atop Blockchain and Decentralized Identity.- A Privacy-preserving Credit Bank Supervision Framework based on Redactable Blockchain.- A Trusted Storage System for Digital Object in the Human-cybe



Trustworthy Open Self-Organising Systems

Автор: Reif
Название: Trustworthy Open Self-Organising Systems
ISBN: 3319291998 ISBN-13(EAN): 9783319291994
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This booktreats the computational use of social concepts as the focal point for therealisation of a novel class of socio-technical systems, comprising smartgrids, public display environments, and grid computing.Thesesystems are composed of technical and human constituents that interact witheach other in an open environment. Heterogeneity, large scale, and uncertaintyin the behaviour of the constituents and the environment are the rule ratherthan the exception.Ensuringthe trustworthiness of such systems allows their technical constituents tointeract with each other in a reliable, secure, and predictable way while theirhuman users are able to understand and control them. 'TrustworthyOpen Self-Organising Systems' contains a wealth of knowledge, fromtrustworthy self-organisation mechanisms, to trust models, methods to measure auser's trust in a system, a discussion of social concepts beyond trust, andinsights into the impact open self-organising systems will have on society.

Engineering Trustworthy Software Systems: 5th International School, Setss 2019, Chongqing, China, April 21-27, 2019, Tutorial Lectures

Автор: Bowen Jonathan P., Liu Zhiming, Zhang Zili
Название: Engineering Trustworthy Software Systems: 5th International School, Setss 2019, Chongqing, China, April 21-27, 2019, Tutorial Lectures
ISBN: 3030550885 ISBN-13(EAN): 9783030550882
Издательство: Springer
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Цена: 8104.00 р.
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Описание: This book constitutes the refereed proceedings of the 5th International School on Engineering Trustworthy Software Systems, SETSS 2019, held in Chongqing, China, in April 2019. The five chapters in this volume provide lectures on leading-edge research in methods and tools for use in computer system engineering.

Blockchain and Trustworthy Systems: Second International Conference, Blocksys 2020, Dali, China, August 6-7, 2020, Revised Selected Papers

Автор: Zheng Zibin, Dai Hong-Ning, Fu Xiaodong
Название: Blockchain and Trustworthy Systems: Second International Conference, Blocksys 2020, Dali, China, August 6-7, 2020, Revised Selected Papers
ISBN: 9811592128 ISBN-13(EAN): 9789811592126
Издательство: Springer
Цена: 13974.00 р.
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Описание:

Theories and Algorithms for Blockchain.- Performance Optimization of Blockchain.- Blockchain Security and Privacy.- Blockchain and Cloud Computing.- Blockchain and Internet of Things.- Blockchain and Mobile Edge Computing.- Blockchain and Smart Contracts.- Blockchain and Data Mining.- Blockchain Services and Applications.- Trustworthy System Development.

Blockchain and Trustworthy Systems: Third International Conference, BlockSys 2021, Guangzhou, China, August 5-6, 2021, Revised Selected Papers

Автор: Dai Hong-Ning, Liu Xuanzhe, Luo Daniel Xiapu
Название: Blockchain and Trustworthy Systems: Third International Conference, BlockSys 2021, Guangzhou, China, August 5-6, 2021, Revised Selected Papers
ISBN: 9811679924 ISBN-13(EAN): 9789811679926
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book constitutes the thoroughly refereed post conference papers of the Third International Conference on Blockchain and Trustworthy Systems, Blocksys 2021, held in Guangzhou, China, in August 2021.*The 38 full papers and the 12 short papers were carefully reviewed and selected from 98 submissions.

Towards Trustworthy Artificial Intelligent Systems

Автор: Ferreira
Название: Towards Trustworthy Artificial Intelligent Systems
ISBN: 3031098226 ISBN-13(EAN): 9783031098222
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This present book provides valuable insights on the technical, societal and legal challenges posed by the use of artificial intelligent systems in a plethora of different applications, from embodied robotic systems to ML algorithms. Engaging with concerns about equity, privacy, surveillance and respect for human dignity, “Towards Trustworthy Artificial Intelligent Systems” highlights the fundamental factors on which stakeholders’ trust relies, identifying benchmarking, standardisation and certification as milestones grounding and consolidating that future trust. The multidisciplinary approach followed will make this book a valuable resource for all those involved in the production and deployment of AIs, as well as for academia and legal practitioners.

Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

Автор: Zhou Jianlong, Chen Fang
Название: Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent
ISBN: 3030080072 ISBN-13(EAN): 9783030080075
Издательство: Springer
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Цена: 9083.00 р.
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Описание: With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

Engineering Trustworthy Software Systems

Автор: Zhiming Liu; Zili Zhang
Название: Engineering Trustworthy Software Systems
ISBN: 3319296272 ISBN-13(EAN): 9783319296272
Издательство: Springer
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Цена: 7826.00 р.
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Описание: (In-)formal methods: The Lost Art.- Program refinement, perfect secrecy and information flow.- The Z Notation: Whence the Cause and Whither the Course?.- Model-Driven Design of Object and Component Systems.- Cyber-Physical Systems Engineering.- Combining Formal and Informal Methods in the Design of Spacecrafts.

Trustworthy AI - Integrating Learning, Optimisation and Reasoning: First International Workshop, Tailor 2020, Virtual Event, September 4-5, 2020, Revi

Автор: Heintz Fredrik, Milano Michela, O`Sullivan Barry
Название: Trustworthy AI - Integrating Learning, Optimisation and Reasoning: First International Workshop, Tailor 2020, Virtual Event, September 4-5, 2020, Revi
ISBN: 3030739589 ISBN-13(EAN): 9783030739584
Издательство: Springer
Цена: 6986.00 р.
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Описание:

This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.

The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.

Engineering Trustworthy Software Systems

Автор: Jonathan P. Bowen; Zhiming Liu; Zili Zhang
Название: Engineering Trustworthy Software Systems
ISBN: 3030176002 ISBN-13(EAN): 9783030176006
Издательство: Springer
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Цена: 8104.00 р.
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Описание: This volume contains lectures on leading-edge research in methods and tools for use in computer system engineering;

Trustworthy Ubiquitous Computing

Автор: Ismail Khalil; Teddy Mantoro
Название: Trustworthy Ubiquitous Computing
ISBN: 9462390576 ISBN-13(EAN): 9789462390577
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Trustworthy Ubiquitous Computing covers aspects of trust in ubiquitous computing environments.

Trustworthy Artificial Intelligence Implementation

Автор: Baker-Brunnbauer
Название: Trustworthy Artificial Intelligence Implementation
ISBN: 303118274X ISBN-13(EAN): 9783031182747
Издательство: Springer
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Цена: 5309.00 р.
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Описание: Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.

Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

Автор: Rothman Denis
Название: Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
ISBN: 1800208138 ISBN-13(EAN): 9781800208131
Издательство: Неизвестно
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Цена: 10114.00 р.
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Описание: In today`s era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI`s pitfalls and potential by helping you build the ability to leverage machine learning with Python to visualize and integrate AI.


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