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RISC-V Instruction Set Architecture Extensions: A Survey
IEEE Access, 2023 RISC-V is an open-source and royalty-free instruction set architecture (ISA), which opens up a new era of processor innovation. RISC-V has the characteristics of modularization and extensibility, and explicitly supports domain-specific custom extensions.
Enfang Cui, Wei Qian, Tianzheng Li
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Fluids, 2023 Machine learning-based modeling of physical systems has attracted significant interest in recent years. Based solely on the underlying physical equations and initial and boundary conditions, these new approaches allow to approximate, for example, the ...
Philipp Moser +4 more
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MK-fuzzy Automata and MSO Logics [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 We introduce MK-fuzzy automata over a bimonoid K which is related to the fuzzification of the McCarthy-Kleene logic. Our automata are inspired by, and intend to contribute to, practical applications being in development in a project on runtime network ...
Manfred Droste +3 more
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Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set
Data, 2023 Advanced Driver Assistance Systems rely on automated traffic sign recognition. Today, Deep Learning methods outperform other approaches in terms of accuracy and processing time; however, they require vast and well-curated data sets for training.
Alexander Maletzky +4 more
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PicoRio: An Open-Source, RISC-V Small-Board Computer to Elevate the RISC-V Software Ecosystem
Tsinghua Science and Technology, 2021 PicoRioTM is an open-source project stewarded by the RISC-V International Open Source (RIOS) laboratory—rioslab.org—a nonprofit research lab at Tsinghua-Berkeley Shenzhen Institute (TBSI).
Zhangxi Tan +3 more
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The Scientometrics of Journal “Bibliosphere”: analysis of tendencies and future development
Библиосфера, 2020 The article presents the scientometric analysis of the journal Bibliosphere (founder – SPSTL SB RAS) for 15 years of its existence – from the first issue publication in 2005 to the end of 2019.
Denis V. Kosyakov +2 more
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Adaptive sliding mode control with gravity compensation: Application to an upper-limb exoskeleton system [PDF]
MATEC Web of Conferences, 2019 This paper presents a robust control algorithm with gravity compensation in presence of parametric uncertainties. The application deals with an upper limb exoskeleton system, aimed for a rehabilitation application. The treated system is an robot with two
Bembli Sana +2 more
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Automated Execution of Data Pipelines based on Configuration Files.
Open Research EuropeBackground Data preparation is a fundamental aspect of data engineering, a prerequisite for later tasks such as data visualization, reporting, and training machine learning models.
Károly Bósa, Paul Heinzlreiter
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Documents d'Anàlisi Geogràfica, 2016 En aquesta recerca es duu a terme una valoració de la vulnerabilitat social del risc de patir una inundació per avinguda mitjançant la construcció d’un índex en una població del litoral murcià.
Alfredo Pérez Morales +2 more
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Современные информационные технологии и IT-образование, 2021 Static binary optimization is one of the ways to speed up an executable file without source code. This technology is used in the BOLT (Binary Optimization and Layout Tool), which requires a profile with information about taken and information about not ...
Sergey Lisitsyn
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