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020 _a9783662678688
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024 7 _a10.1007/978-3-662-67868-8
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072 7 _aMAT003000
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072 7 _aPBKS
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082 0 4 _a003.3
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245 1 0 _aTransactions on Computational Science XL
_h[electronic resource] /
_cedited by Marina Gavrilova, C. J. Kenneth Tan, Mark Coates, Yaoping Hu, Henry Leung, Arash Mohammadi, Konstantinos N. Plataniotis, Helder Rodrigues de Oliveira.
250 _a1st ed. 2023.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2023.
300 _aVII, 129 p. 37 illus., 24 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aTransactions on Computational Science,
_x1866-4741 ;
_v13850
505 0 _aTrustworthy 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.
520 _aThe 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.
650 0 _aMathematics
_xData processing.
650 0 _aNumerical analysis.
650 0 _aAlgorithms.
650 0 _aPattern recognition systems.
650 0 _aMachine learning.
650 0 _aComputers, Special purpose.
650 1 4 _aComputational Science and Engineering.
650 2 4 _aNumerical Analysis.
650 2 4 _aDesign and Analysis of Algorithms.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aMachine Learning.
650 2 4 _aSpecial Purpose and Application-Based Systems.
700 1 _aGavrilova, Marina.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTan, C. J. Kenneth.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCoates, Mark.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHu, Yaoping.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLeung, Henry.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMohammadi, Arash.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPlataniotis, Konstantinos N.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _ade Oliveira, Helder Rodrigues.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662678671
776 0 8 _iPrinted edition:
_z9783662678695
830 0 _aTransactions on Computational Science,
_x1866-4741 ;
_v13850
856 4 0 _uhttps://doi.org/10.1007/978-3-662-67868-8
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