Results 1 to 10 of about 254,480 (307)
Estimating the Incidence of SARS-CoV-2 Cases in Belize Based on Mortality Rate
Dr. Sulaiman Al Habib Medical Journal, 2021 Developing countries such as Belize have been facing profound challenges in their quest to effectively track cases of Coronavirus Disease 2019 (COVID-19) and contain the pandemic within their own territory.
Paul Morgan +3 more
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Enhancing Software-Defined Networking (SDN) Resilience against Cyberattacks: A Markov Model-Based Approach [PDF]
International Journal of Web ResearchSoftware-Defined Network (SDN) introduces centralized network control via the OpenFlow protocol, enhancing network management, traffic routing, and security policy enforcement.
Ahmad Jalili
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Journal of Theoretical Biology, 2012 Recent work has discussed the importance of multiplicative closure for the Markov models used in phylogenetics. For continuous-time Markov chains, a sufficient condition for multiplicative closure of a model class is ensured by demanding that the set of rate-matrices belonging to the model class form a Lie algebra.
Sumner, Jeremy +2 more
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Hierarchical Model Predictive Control for Hydraulic Hybrid Powertrain of a Construction Vehicle
Applied Sciences, 2020 Hybrid hydraulic technology has the advantages of high-power density and low price and shows good adaptability in construction machinery. A complex hybrid powertrain architecture requires optimization and management of power demand distribution and an ...
Zhong Wang, Xiaohong Jiao
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Reliability Assessment of a Fault-Tolerant PV Multistring Inverter
Energies, 2020 In photovoltaic (PV) systems, the reliability of the system components, especially the power converters, is a major concern in obtaining cost effective solutions.
Hugues Renaudineau +5 more
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Markov-Switching MIDAS Models [PDF]
Journal of Business & Economic Statistics, 2013 This article introduces a new regression model—Markov-switching mixed data sampling (MS-MIDAS)—that incorporates regime changes in the parameters of the mixed data sampling (MIDAS) models and allows for the use of mixed-frequency data in Markov-switching models.
MARCELLINO, MASSIMILIANO, P. Guerin
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A Novel Method for Decoding Any High-Order Hidden Markov Model
Discrete Dynamics in Nature and Society, 2014 This paper proposes a novel method for decoding any high-order hidden Markov model. First, the high-order hidden Markov model is transformed into an equivalent first-order hidden Markov model by Hadar’s transformation. Next, the optimal state sequence of
Fei Ye, Yifei Wang
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Cost–effectiveness of overactive bladder treatments from a US commercial and payer perspective
Journal of Comparative Effectiveness Research, 2023 Aim: The cost–effectiveness of treatment options (anticholinergics, β3-adrenoceptor agonists, onabotulinumtoxinA, sacral nerve stimulation and percutaneous tibial stimulation [the latter two including new rechargeable neurostimulators]) for the ...
Brian Murray +8 more
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Proceedings of the National Academy of Sciences, 2003 Markov random fields can encode complex probabilistic relationships involving multiple variables and admit efficient procedures for probabilistic inference. However, from a knowledge engineering point of view, these models suffer from a serious limitation.
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Frontiers in Pharmacology, 2023 Background: The potency and safety of toripalimab combination with chemotherapy (TC) as the first-line therapy for advanced non-small cell lung cancer (NSCLC) have been demonstrated in the CHOICE-01 study.
Gengwei Huo +4 more
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