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Frequently asked questions about nonlinear dynamics and empirical dynamic modelling
, 2020Complex nonlinear dynamics are ubiquitous in marine ecology. Empirical dynamic modelling can be used to infer ecosystem dynamics and species interactions while making minimal assumptions. Although there is growing enthusiasm for applying these methods,
S. Munch +3 more
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Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain
International Journal of Production Research, 2019Recently, the applications of Blockchain technology have begun to revolutionise different aspects of supply chain (SC) management. Among others, Blockchain is a platform to execute the smart contracts in the SC as transactions.
A. Dolgui +5 more
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Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the natural parameters of the multinomial distributions that represent the topics.
David M. Blei, John D. Lafferty
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A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the natural parameters of the multinomial distributions that represent the topics.
David M. Blei, John D. Lafferty
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Mechanical systems and signal processing, 2019
In the previous nonlinear dynamic models of spur gear system, when considering bearing deformation, the pressure angle and gear backlash are usually considered as constants to facilitate the modelling.
Yong Yi +3 more
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In the previous nonlinear dynamic models of spur gear system, when considering bearing deformation, the pressure angle and gear backlash are usually considered as constants to facilitate the modelling.
Yong Yi +3 more
semanticscholar +1 more source
Journal of Aerospace Engineering, 1993
Automation of excavation work calls for a robotic system able to perform the planned digging work that is responsive to interaction forces experienced during excavation. The development of automated excavation control methods requires a dynamic model to describe the evolution of the excavator motion with time.
Vähä, Pentti, Skibniewski, Miroslaw
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Automation of excavation work calls for a robotic system able to perform the planned digging work that is responsive to interaction forces experienced during excavation. The development of automated excavation control methods requires a dynamic model to describe the evolution of the excavator motion with time.
Vähä, Pentti, Skibniewski, Miroslaw
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Dynamic modelling and control of a Tendon-Actuated Lightweight Space Manipulator
Aerospace Science and Technology, 2019The Tendon-Actuated Lightweight Space Manipulator has advantages such as a large range of motion and lightweight when compared with conventional space manipulators.
Kai Li, Yao Zhang, Quan Hu
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Tourism Management, 2018
Tourism destinations are dynamically complex systems in which behaviour is controlled by many interacting components and feedback loops. Yet tourism destination planning has traditionally been based on forecasting models that rely on historical data to ...
T. Mai, Carl S. Smith
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Tourism destinations are dynamically complex systems in which behaviour is controlled by many interacting components and feedback loops. Yet tourism destination planning has traditionally been based on forecasting models that rely on historical data to ...
T. Mai, Carl S. Smith
semanticscholar +1 more source
Dynamic modelling of customer preferences for product design using DENFIS and opinion mining
Advanced Engineering Informatics, 2019Previous studies mainly employed customer surveys to collect survey data for understanding customer preferences on products and developing customer preference models. In reality, customer preferences on products could change over time.
Huimin Jiang +3 more
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A Dynamic Network Loading Model for Traffic Dynamics Modeling
IEEE Transactions on Intelligent Transportation Systems, 2007The need for a better representation of traffic dynamics and the reproduction of traffic flow motion on the network have been the main reasons to seek solutions for dynamic network loading (DNL) models. In this paper, a neural network (NN) approximator that supports the DNL model is utilized to model link flow dynamics on a sample network.
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