Results 251 to 260 of about 196,133 (310)

Explainable Deep Learning for Research on the Synergistic Mechanisms of Multiple Pollutants: A Critical Review. [PDF]

Toxics
Liu C, He A, Gu J, Ji M, Hu J, Qiao S, Wang F, Hua J, Wang J.   +8 more
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A G-Code-Driven Modeling and Thermo-Mechanical Coupling Analysis Method for the FDM Process of Complex Lightweight Structures. [PDF]

Materials (Basel)
Li D, Dun Y, Yang Z, Zhou R, Chen Y.
europepmc   +1 more source

Advances and Challenges in Pharmacokinetic Modeling for PET Imaging: Compartment Models, Input Functions, and Quantitative Techniques. [PDF]

Tomography
Wang JH, Uyanik M, Li X, Chen W, He Z, Randell C, McMillan A.   +6 more
europepmc   +1 more source

Hardware-Efficient Real-Valued Neural Predistorter for Multimode Power Amplifiers. [PDF]

Sensors (Basel)
Freire LBC, Schuartz L, Lima EG.
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Fractional-order modeling and optimal control of lassa fever with non-pharmaceutical interventions. [PDF]

MethodsX
Yunus AO, Olanrewaju OA.
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Applications of Environment-Dependent Models to Tumor Immunity (Theory of Biomathematics and Its Applications XII : Mathematical and experimental approach to clarify patterns in a transition process)

Applications of Environment-Dependent Models to Tumor Immunity (Theory of Biomathematics and Its Applications XII : Mathematical and experimental approach to clarify patterns in a transition process)
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Modeling stream processing applications for dependability evaluation

2011 IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN), 2011
This paper describes a modeling framework for evaluating the impact of faults on the output of streaming applications. Our model is based on three abstractions: stream operators, stream connections, and tuples. By composing these abstractions within a Stochastic Activity Network, we allow the modeling of complete applications.
Gabriela Jacques-Silva, Zbigniew Kalbarczyk, Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Ravishankar K. Iyer   +5 more
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Step-dependent machining uncertainty modeling for the process route and application in the machining of the ring-gear

CIRP Journal of Manufacturing Science and Technology
Yanan Zhao, Shaoming Yao
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Nonlinear models for strongly dependent processes with financial applications

Journal of Econometrics, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baillie, Richard T., Kapetanios, George
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Modelling long-range-dependent Gaussian processes with application in continuous-time financial models [PDF]

Journal of Applied Probability, 2004
This paper considers a class of continuous-time long-range-dependent Gaussian processes. The corresponding spectral density is assumed to have a general and flexible form, which covers some important and special cases. For example, the spectral density of a continuous-time fractional stochastic differential equation is included.
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