Description

Book Synopsis
The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2022 (KES HCIS 2022), held in Rhodes, Greece on June 20–22, 2022. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.

Table of Contents
A Collaborative Intelligence Approach to Fighting COVID-19 False News: A Chinese case.- Empirical Study on the State of Practice of Information Security Management in Local Government.- A Hybrid Automatic Facial Expression Recognition Based on Convolutional Neuronal Networks and Support Vector Machines Techniques.- Patient and Therapist Model Attributes for Social Robot Stroke Therapies Based on Implicit Knowledge from Expert Interviews.- An Evolutionary Computing based Approach for Optimal Target Coverage in Wireless Sensor Networks.- Analysis of Business Practice and Opportunities in the Construction Industry of UAE In Comparison to Gulf States.- Role of Construction Industry in the Economic Transition Across the United Arab Emirates.- Transition to Electrical and Autonomous Vehicles in China.- The Adoption Appraisal of Autonomous Vehicles.- Keep Your Distance, Automated Driving Vehicle! - Toward an Accurate Localization Solutions for Automotive Applications.

Human Centred Intelligent Systems: Proceedings of KES-HCIS 2022 Conference

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    A Hardback by Alfred Zimmermann, Robert J. Howlett, Lakhmi C. Jain

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      View other formats and editions of Human Centred Intelligent Systems: Proceedings of KES-HCIS 2022 Conference by Alfred Zimmermann

      Publisher: Springer Verlag, Singapore
      Publication Date: 16/06/2022
      ISBN13: 9789811934544, 978-9811934544
      ISBN10:

      Description

      Book Synopsis
      The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2022 (KES HCIS 2022), held in Rhodes, Greece on June 20–22, 2022. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.

      Table of Contents
      A Collaborative Intelligence Approach to Fighting COVID-19 False News: A Chinese case.- Empirical Study on the State of Practice of Information Security Management in Local Government.- A Hybrid Automatic Facial Expression Recognition Based on Convolutional Neuronal Networks and Support Vector Machines Techniques.- Patient and Therapist Model Attributes for Social Robot Stroke Therapies Based on Implicit Knowledge from Expert Interviews.- An Evolutionary Computing based Approach for Optimal Target Coverage in Wireless Sensor Networks.- Analysis of Business Practice and Opportunities in the Construction Industry of UAE In Comparison to Gulf States.- Role of Construction Industry in the Economic Transition Across the United Arab Emirates.- Transition to Electrical and Autonomous Vehicles in China.- The Adoption Appraisal of Autonomous Vehicles.- Keep Your Distance, Automated Driving Vehicle! - Toward an Accurate Localization Solutions for Automotive Applications.

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