Articles with "computationally efficient" as a keyword



A computationally efficient system for assessing near-real-time instability of regional unsaturated soil slopes under rainfall

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Published in 2019 at "Landslides"

DOI: 10.1007/s10346-019-01307-3

Abstract: The objective of this paper is to obtain an applicable assessment method and a Web-GIS-based prediction system for regional landslides. The traditional Richards function is reconstructed using the soil-water characteristic curve (SWCC) and the coordinate… read more here.

Keywords: system; real time; time; computationally efficient ... See more keywords

A Computationally-Efficient, Online-Learning Algorithm for Detecting High-Voltage Spindles in the Parkinsonian Rats.

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Published in 2020 at "Annals of biomedical engineering"

DOI: 10.1007/s10439-020-02680-0

Abstract: Abnormally-synchronized, high-voltage spindles (HVSs) are associated with motor deficits in 6-hydroxydopamine-lesioned parkinsonian rats. The non-stationary, spike-and-wave HVSs (5-13 Hz) represent the cardinal parkinsonian state in the local field potentials (LFPs). Although deep brain stimulation (DBS) is… read more here.

Keywords: high voltage; efficient online; parkinsonian rats; voltage spindles ... See more keywords
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Computationally efficient modular nonlinear filter stabilization for high Reynolds number flows

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Published in 2018 at "Advances in Computational Mathematics"

DOI: 10.1007/s10444-017-9544-x

Abstract: The nonlinear filter based stabilization proposed in Layton et al. (J. Math. Fluid Mech. 14(2), 325–354 2012) allows to incorporate an eddy viscosity model into an existing laminar flow codes in a modular way. However,… read more here.

Keywords: stabilization; efficient modular; step; computationally efficient ... See more keywords
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CECT: computationally efficient congestion-avoidance and traffic engineering in software-defined cloud data centers

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Published in 2018 at "Cluster Computing"

DOI: 10.1007/s10586-018-2815-6

Abstract: The proliferation of cloud data center applications and network function virtualization (NFV) boosts dynamic and QoS dependent traffic into the data centers network. Currently, lots of network routing protocols are requirement agnostic, while other QoS-aware… read more here.

Keywords: traffic; network; cloud data; congestion ... See more keywords

A computationally efficient hybrid approach based on artificial neural networks and the wavelet transform for quantum simulations of graphene nanoribbon FETs

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Published in 2019 at "Journal of Computational Electronics"

DOI: 10.1007/s10825-019-01350-2

Abstract: Numerical modeling of graphene nanoribbon field-effect transistors (GNRFETs) using quantum-mechanical approaches is often associated with a heavy computational burden, indicating the urgent need for new methods to resolve this issue. A computationally efficient hybrid approach… read more here.

Keywords: computationally efficient; graphene nanoribbon; quantum simulations; approach ... See more keywords
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A computationally efficient Hill curve adaptation strategy during continuous monitoring of dose–effect relation in anaesthesia

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Published in 2018 at "Nonlinear Dynamics"

DOI: 10.1007/s11071-018-4095-3

Abstract: This paper discusses a possibility to simplify the number of parameters in the Hill curve by exploiting special mathematical functions. This simplification is relevant when adaptation is required for personalized model-based medicine during continuous monitoring… read more here.

Keywords: monitoring dose; continuous monitoring; computationally efficient; adaptation ... See more keywords
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A computationally efficient method for tempered fractional differential equations with application

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Published in 2018 at "Computational and Applied Mathematics"

DOI: 10.1007/s40314-017-0522-1

Abstract: This paper investigates the numerical approximation of the tempered fractional integral by using the Sinc-collocation scheme. The algorithm is extended to solve a class of tempered fractional differential equations that converges to the solution with… read more here.

Keywords: efficient method; tempered fractional; fractional differential; differential equations ... See more keywords

A robust and computationally efficient finite element framework for coupled electromechanics

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Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"

DOI: 10.1016/j.cma.2020.113443

Abstract: Abstract Electro-active polymers (EAPs) are increasingly becoming popular materials for actuators, sensors, and energy harvesters. To simulate the complex behaviour of actuators under coupled loads, particularly in the realm of soft robotics, biomedical engineering and… read more here.

Keywords: computationally efficient; electro active; element framework; finite element ... See more keywords

Computationally efficient fully-automatic online neural spike detection and sorting in presence of multi-unit activity for implantable circuits

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Published in 2019 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2019.104986

Abstract: BACKGROUND Spike sorting is a basic step for implantable neural interfaces. With the growing number of channels, the process should be computationally efficient, automatic,robust and applicable on implantable circuits. NEW METHOD The proposed method is… read more here.

Keywords: computationally efficient; detection; unit; spike ... See more keywords

Computationally efficient framework for probabilistic collapse analysis of structures under extreme actions

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Published in 2018 at "Engineering Structures"

DOI: 10.1016/j.engstruct.2018.06.022

Abstract: Abstract Currently there is a growing need for a versatile framework consisting of analytical and surrogate models to ensure both accuracy and computational efficiency of collapse analysis under extreme actions. However training metamodels for highly… read more here.

Keywords: extreme actions; collapse; framework; analysis ... See more keywords

Efficient Iterative Solvers in the Least Squares Method

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Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.847

Abstract: Fast convergent, accurate, computationally efficient, parallelizable, and robust matrix inversion and parameter estimation algorithms are required in many time-critical and accuracy-critical applications such as system identification, signal and image processing, network and big data analysis,… read more here.

Keywords: computationally efficient; iterative solvers; newton schulz; efficient iterative ... See more keywords