Transactions on computational science XL / Marina Gavrilova, C. J. Kenneth Tan, Mark Coates, Yaoping Hu, Henry Leung, Arash Mohammadi, Konstantinos N. Plataniotis, Helder Rodrigues de Oliveira, editors.
Gavrilova, Marina L., editor.; Tan, C. J. Kenneth (Chih Jeng Kenneth), editor.; Coates, Mark, editor.; Hu, Yaoping, editor.; Leung, Henry, editor.; Mohammadi, Arash, editor.; Plataniotis, Konstantinos N., editor.; Oliveira, Helder Rodrigues de, editor.
2023
QA76
Available Online

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Title
Transactions on computational science XL / Marina Gavrilova, C. J. Kenneth Tan, Mark Coates, Yaoping Hu, Henry Leung, Arash Mohammadi, Konstantinos N. Plataniotis, Helder Rodrigues de Oliveira, editors.
ISBN
9783662678688 (electronic bk.)
3662678683 (electronic bk.)
9783662678671
3662678675
DOI
https://doi.org/10.1007/978-3-662-67868-8
Published
Berlin, Germany : Springer, 2023.
Language
English
Description
1 online resource (vii, 129 pages) : illustrations (some color).
Item Number
10.1007/978-3-662-67868-8 doi
Call Number
QA76
Dewey Decimal Classification
004
Summary
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, and devoted 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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 23, 2023).
Added Author
Gavrilova, Marina L., editor.
Tan, C. J. Kenneth (Chih Jeng Kenneth), editor.
Coates, Mark, editor.
Hu, Yaoping, editor.
Leung, Henry, editor.
Mohammadi, Arash, editor.
Plataniotis, Konstantinos N., editor.
Oliveira, Helder Rodrigues de, editor.
Series
Lecture notes in computer science ; 13850.
Available in Other Form
Print version: 9783662678671
Linked Resources
Online Access
Record Appears in
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All Resources
Trustworthy Technologies for Autonomous Human-Machine Systems
Challenges in Understanding Trust and Trust Modeling: Quenching the Thirst for AI Trust Management
Stress Contagion Protocols for Human-Autonomy Teaming
AVCA: Autonomous Virtual Cognitive Assessment
Light-weighted CNN-Attention based Architecture Trained with a Hybrid Objective Function for EMG-based Human Machine Interfaces
Fairness, Bias and Trust in the Context of Biometric-enabled Autonomous Decision Support
An Autonomous Fake News Recognition System by Semantic Learning in Cognitive Computing
Addressing Dataset Shift for Trustworthy Deep Learning Diagnostic Ultrasound Decision Support.

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