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Transactions on Computational Science XL

  • Book
  • © 2023

Overview

Editors:
  1. Marina Gavrilova

    1. University of Calgary, Calgary, Canada

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  2. C. J. Kenneth Tan

    1. Sardina Systems OÜ, Tallinn, Estonia

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  3. Mark Coates

    1. McGill University, Montreal, Canada

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  4. Yaoping Hu

    1. University of Calgary, Calgary, Canada

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  5. Henry Leung

    1. University of Calgary, Calgary, Canada

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  6. Arash Mohammadi

    1. Concordia University, Montreal, Canada

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  7. Konstantinos N. Plataniotis

    1. University of Toronto, Toronto, Canada

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  8. Helder Rodrigues de Oliveira

    1. University of Calgary, Calgary, Canada

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  • Contributed chapters evaluate various computational science approaches.
  • Focuses on geometric modeling, visual object detection, could service utilization, pattern recognition.
  • Volume of interest to researchers and engineers engaged with computational science problems.

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13850)

Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-vii
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  2. Challenges in Understanding Trust and Trust Modeling

    • Ming Hou
    Pages 1-5

  3. Stress Contagion Protocols for Human and Autonomous Robot Teams

    • Peter Shmerko, Yumi Iwashita, Adrian Stoica, Svetlana Yanushkevich
    Pages 6-25

  4. AVCA: Autonomous Virtual Cognitive Assessment

    • Bahar Karimi, Soheil Zabihi, Amir Keynia, Aram Montazami, Arash Mohammadi
    Pages 26-47

  5. Light-Weight CNN-Attention Based Architecture Trained with a Hybrid Objective Function for EMG-Based Human Machine Interfaces

    • Soheil Zabihi, Elahe Rahimian, Amir Asif, Svetlana Yanushkevich, Arash Mohammadi
    Pages 48-65

  6. Fairness, Bias and Trust in the Context of Biometric-Enabled Autonomous Decision Support

    • Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko
    Pages 66-87

  7. An Autonomous Fake News Recognition System by Semantic Learning and Cognitive Computing

    • Yingxu Wang, James Y. Xu
    Pages 88-109

  8. Addressing Dataset Shift for Trustworthy Deep Learning Diagnostic Ultrasound Decision Support

    • Calvin Zhu, Michael D. Noseworthy, Thomas E. Doyle
    Pages 110-128

  9. Back Matter

    Pages 129-129
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Keywords

About this book

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.This, the 40th issue of the Transactions on Computational Science, is a special issue, comprised of seven papers, anddevoted to the developing and novel techniques for Trustworthy Technologies for Autonomous Human-Machine Systems. They include emerging and innovative applications of computer security-based applications, as well as theoretical contributions that are relevant to Trustworthy Technologies for Autonomous Human-Machine Systems.

Editors and Affiliations

  • University of Calgary, Calgary, Canada

    Marina Gavrilova, Yaoping Hu, Henry Leung, Helder Rodrigues de Oliveira

  • Sardina Systems OÜ, Tallinn, Estonia

    C. J. Kenneth Tan

  • McGill University, Montreal, Canada

    Mark Coates

  • Concordia University, Montreal, Canada

    Arash Mohammadi

  • University of Toronto, Toronto, Canada

    Konstantinos N. Plataniotis

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