A Beam Network Model Approach to Strength Optimization of Disordered Fibrous Materials
Sign Up to like & getrecommendations! Published in 2019 at "Advanced Engineering Materials"
DOI: 10.1002/adem.201901013
Abstract: A beam network model is used to study the nucleation and propagation of cracks in uniaxially loaded materials consisting of randomly crossâlinked fibers with statistically distributed failure thresholds. The failure behavior of such materials is… read more here.
Keywords: network model; beam network; materials beam; strength ... See more keywords
Domain Adaptive Denoising Network for Low-Dose CT via Noise Estimation and Transfer Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15952
Abstract: BACKGROUND In recent years, low-dose computed tomography (LDCT) has played an important role in the diagnosis CT to reduce the potential adverse effects of x-ray radiation on patients, while maintaining the same diagnostic image quality.… read more here.
Keywords: network; noise; noise estimation; network model ... See more keywords
BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04808-9
Abstract: Cloud computing promises elasticity, flexibility and cost-effectiveness to satisfy service level agreement conditions. The cloud service providers should plan and provision the computing resources rapidly to ensure the availability of infrastructure to match the demands… read more here.
Keywords: workload; model; neural network; network model ... See more keywords
A dynamic neural network model for accelerating preliminary parameterization of 3D triangular mesh surfaces
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3332-x
Abstract: This study proposes an effective and fast preliminary mapping algorithm for 3D triangular mesh surfaces. The proposed method exploits barycentric mapping theory and dynamic neural network for computing parametric coordinates corresponding to vertices of 3D… read more here.
Keywords: triangular mesh; neural network; network; mesh surfaces ... See more keywords
Does the network model fits neurophysiological abnormalities in blepharospasm?
Sign Up to like & getrecommendations! Published in 2020 at "Neurological Sciences"
DOI: 10.1007/s10072-020-04347-z
Abstract: Several neurophysiological abnormalities have been described in blepharospasm, including loss of inhibition in sensorimotor pathways at cortical and brainstem level and abnormalities of sensory processing. These changes have traditionally been linked to a basal ganglia… read more here.
Keywords: network; network model; neurophysiological abnormalities; fits neurophysiological ... See more keywords
A neural network model for financial trend predicting
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2196-x
Abstract: In this paper, we will put forward a hybrid model to predict the tendency of the fund, which is based on neural network combined with Genetic Algorithm (GA), Optimal Entropy (OE) and Variation Function. In… read more here.
Keywords: trend; input; model; neural network ... See more keywords
A Mathematical Network Model and a Solution Algorithm for IaaS Cloud Computing
Sign Up to like & getrecommendations! Published in 2019 at "Networks and Spatial Economics"
DOI: 10.1007/s11067-019-09460-x
Abstract: Cloud Computing is a type of Internet-based computing, much used in recent years, that relies on sharing computer processing resources and data to computers and other devices on demand, from any location and at any… read more here.
Keywords: cloud; mathematical network; cloud computing; network model ... See more keywords
Construction projects planning using network model with the fuzzy decision node
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Environmental Science and Technology"
DOI: 10.1007/s13762-019-02259-w
Abstract: In the construction practice, at the stage of planning of a construction project, planners are trying to take into account the possibility of unfavorable situations and their consequences during the project execution. Therefore, planning decisions… read more here.
Keywords: construction; model; decision node; network model ... See more keywords
A multi-layer network model to assess school opening policies during a vaccination campaign: a case study on COVID-19 in France
Sign Up to like & getrecommendations! Published in 2022 at "Applied Network Science"
DOI: 10.1007/s41109-022-00449-z
Abstract: We propose a multi-layer network model for the spread of an infectious disease that accounts for interactions within the family, between children in classes and schools, and casual contacts in the population. The proposed framework… read more here.
Keywords: network model; layer network; vaccination; campaign ... See more keywords
A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR
Sign Up to like & getrecommendations! Published in 2018 at "Agricultural Systems"
DOI: 10.1016/j.agsy.2018.04.004
Abstract: A Bayesian Network model has been developed that synthesizes findings from concurrent multi-disciplinary research activities. The model describes the many factors that impact on the chances of a smallholder farmer adopting a proposed change to… read more here.
Keywords: bayesian network; change; smallholder; model ... See more keywords
An equivalent pipe network model for free surface flow in porous media
Sign Up to like & getrecommendations! Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.06.017
Abstract: Abstract Free surface flow analysis in porous media is challenging in many practical applications with strong non-linearity. An equivalent pipe network model is proposed for the simulation and evaluation of free surface flow in porous… read more here.
Keywords: network model; free surface; pipe network;