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Academic Articles & Research Papers
Showing 20 of 239 academic articles
Christian Klingenberg • Astronomische Nachrichten
(2007)
Abstract E119 3D Simulations of Weakly Magnetized Accretion Disks E147 The MRI in stratified accretion discs E212 Comparison between observed and simulated globular clusters E219 Presentation of simulation results of our 3D PIC Code E244 MA...
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DOI: https://doi.org/10.1002/asna.200740005
Michael J. Cook, Basant K. Puri • Infectious Disease Modelling
(2020)
Two models were developed to estimate Lyme borreliosis (LB) cases. One was based on the seroprevalence of Borrelia infections in human samples. This model used corrections for false negative and false positive results from published test se...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.idm.2020.10.004
Tom Vandebroek, Julie Legrand, Tom Vercauteren, Sebastien Ourselin et al. • Advances in Mechanical Engineering
(2023)
Single port access surgery has brought many advantages and new challenges to the field of minimally invasive surgery. In principle, many of these challenges can be addressed through robotics. Continuum robots in particular have seen a surge...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/16878132221140207
Will Barnett, Ana Cavalcanti, Alvaro Miyazawa • Frontiers in Robotics and AI
(2022)
The need for robotic systems to be verified grows as robots are increasingly used in complex applications with safety implications. Model-driven engineering and domain-specific languages (DSLs) have proven useful in the development of compl...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2022.991637
Krzysztof R. Kozlowski • Advances in industrial control
(1998)
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DOI: https://doi.org/10.1007/978-1-4471-0429-2
Fei Yan, Abdullah M. Iliyasu, Sihao Jiao, Huamin Yang • Applied Sciences
(2019)
Utilising the properties of quantum mechanics, i.e., entanglement, parallelism, etc., a quantum structure is proposed for representing and manipulating emotion space of robots. This quantum emotion space (QES) provides a mechanism to extend...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9163351
Massimo Bartoletti, Emilio Tuosto, Roberto Zunino • Electronic Proceedings in Theoretical Computer Science
(2011)
We present a parametric calculus for contract-based computing in distributed systems. By abstracting from the actual contract language, our calculus generalises both the contracts-as-processes and contracts-as-formulae paradigms. The calcul...
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cc-by-nc-nd
DOI: https://doi.org/10.4204/eptcs.59.11
• Cambridge University Press eBooks
(1998)
Distributed parameter systems encompass a broad range of engineering applications from stereo speakers to space structures. The dynamic behaviour of these systems is usually governed by one or more partial differential equations, which may ...
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DOI: https://doi.org/10.1017/cbo9780511530180
Markus Fidler, Jens Burkhard Schmitt • ACM SIGMETRICS Performance Evaluation Review
(2006)
Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide end-to-end quality of service guarantees for integrated and di...
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DOI: https://doi.org/10.1145/1140103.1140310
Akinori Yonezawa, Carl E. Hewitt (1977)
Distributed systems are multi-processor information processing systems which do not rely on the central shared memory for communication. The importance of distributed systems has been growing with the advent of "computer...
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Wan J. Fokkink • Springer eBooks
(2007)
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DOI: https://doi.org/10.1007/978-3-540-73938-8
Joseph Yehuda Halpern, Ronald Fagin • Distributed Computing
(1989)
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DOI: https://doi.org/10.1007/bf01784885
V Ranjit, Suchitra Naik • International Journal of Computing Algorithm
(2023)
A branch of computer science and AI called natural language processing is focused on how computers and human languages interact.In order for computers to interpret written and spoken human language without the use of computer-driven languag...
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DOI: https://doi.org/10.20894/ijcoa.101.012.002.001
Danilo P. Mandic, Jonathon A. Chambers • Wiley eBooks
(2001)
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...
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DOI: https://doi.org/10.1002/047084535x
M.J. Willis, Christine Di Massimo, Gary A. Montague, Ming T. Tham et al. • IEE Proceedings D Control Theory and Applications
(1991)
Artificial neural networks are made up of highly interconnected layers of simple ‘neuron-like’ nodes. The neurons act as nonlinear processing elements within the network. An attractive property of artificial neural networks is that, given t...
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DOI: https://doi.org/10.1049/ip-d.1991.0036
Subana Shanmuganathan, Sandhya Samarasinghe • Studies in computational intelligence
(2016)
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DOI: https://doi.org/10.1007/978-3-319-28495-8
Chris Bishop • Choice Reviews Online
(1994)
From the Publisher:
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modelling probabi...
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DOI: https://doi.org/10.5860/choice.31-5500
Chris Bishop (1995)
Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes technique...
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DOI: https://doi.org/10.1093/oso/9780198538493.001.0001
Paul Refenes • Wiley eBooks
(1995)
PART ONE: NEURAL NETWORKS: Introduction Design Considerations Methods for Optimal Network Design Data Modelling Considerations Testing Strategies and Metrics PART TWO: EQUITY APPLICATIONS: Modelling Stock Returns in the Framework of APT: A ...
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Abhay B. Bulsari • Elsevier eBooks
(1995)
Part 1 Theoretical issues: an introduction to artificial neural networks, D.T. Pham unsupervised neural learning, E. Oja back-propagation and its variations, D. Tsaptsinos the general approximation problem for feed-forward neural networks, ...
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