Results 51 to 60 of about 6,844,637 (293)
MODELING AND PREDICTING THE DYNAMICS OF COVID-19 IN MALAYSIA: A STATE-SPACE APPROACH [PDF]
Malaysian Journal of ComputingThe emergence of COVID-19 in Malaysia in January 2020 marked the beginning of a significant public health challenge. Despite the transition to the endemic phase on April 1, 2022, the global impact of the virus remains substantial.
Wan Munirah Wan Mohamad +4 more
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International Journal of Applied Mathematics and Computer Science, 2020 Two approximate representations are proposed for distributed parameter systems described by two linear hyperbolic PDEs with two time- and space-dependent state variables and two collocated boundary inputs.
Bartecki Krzysztof
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The State Space of Artificial Intelligence [PDF]
Minds and Machines, 2020 AbstractThe goal of the paper is to develop and propose a general model of the state space of AI. Given the breathtaking progress in AI research and technologies in recent years, such conceptual work is of substantial theoretical interest. The present AI hype is mainly driven by the triumph of deep learning neural networks.
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai +4 more
wiley +1 more source
ComputationModern computational models tend to become more and more complex, especially in fields like computational biology, physical modeling, social simulation, and others.
Oleksii Sirotkin +5 more
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Formal modeling and security analysis method of security protocol based on CPN
Tongxin xuebao, 2021 To solve the problem of modeling and analyzing with colored Petri net (CPN), which was determining vulnerabilities in hole location but couldn’t identify any attack path, and the problem of when the introduction of the attacker model, the number of ...
Xiang GONG, Tao FENG, Jinze DU
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Memristor state-space embedding [PDF]
2015 European Conference on Circuit Theory and Design (ECCTD), 2015 This paper presents a procedure for the determination of the dimensionality of the state space of a memristive device. The state space dimensionality of a device corresponds to the minimum number of time delayed values/derivatives of the voltage and current required to represent the device dynamics for a specified set of inputs.
Wael Dghais +4 more
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
A Systematic Review on Reinforcement Learning for Industrial Combinatorial Optimization Problems
Applied SciencesThis paper presents a systematic review on reinforcement learning approaches for combinatorial optimization problems based on real-world industrial applications. While this topic is increasing in popularity, explicit implementation details are not always
Miguel S. E. Martins +2 more
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Synchronisation of Lohe model on smooth curved surfaces
The Journal of Engineering, 2019 In this study, the Lohe model limited on smooth curved surfaces is investigated. A necessary and sufficient condition of equilibria is obtained. Also, it is proved that the synchronisation can be achieved if the initial states lie in a half part of the ...
Jinxing Zhang, Yingyu Wang, Jiandong Zhu
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