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Transactions on computational science XL
~
Gavrilova, Marina L.
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Transactions on computational science XL
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Transactions on computational science XL/ edited by Marina Gavrilova ... [et al.].
其他題名:
Transactions on computational science 40
其他作者:
Gavrilova, Marina L.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2023.,
面頁冊數:
vii, 129 p. :ill. (some col.), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Computer science. -
電子資源:
https://doi.org/10.1007/978-3-662-67868-8
ISBN:
9783662678688
Transactions on computational science XL
Transactions on computational science XL
[electronic resource] /Transactions on computational science 40edited by Marina Gavrilova ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2023. - vii, 129 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,138500302-9743 ;. - Lecture notes in computer science ;13850..
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.
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.
ISBN: 9783662678688
Standard No.: 10.1007/978-3-662-67868-8doiSubjects--Topical Terms:
523869
Computer science.
LC Class. No.: QA76
Dewey Class. No.: 004
Transactions on computational science XL
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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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