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A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
(PLOS, 2018)
Repositioning of the maxilla in orthognathic surgery is carried out for functional and aesthetic
purposes. Pre-surgical planning tools can predict 3D facial appearance by computing the
response of the soft tissue to the ...
Thermodiffusion in multicomponent n-alkane mixtures
(Nature Research (Part of Springer Nature), 2017)
Compositional grading within a mixture has a strong impact on the evaluation of the pre-exploitation distribution of hydrocarbons in underground layers and sediments. Thermodiffusion, which leads to a partial diffusive ...
A Coupled Eulerian Lagrangian Model to Predict Fundamental Process Variables and Wear Rate on Ferrite-pearlite Steels
(Elsevier B.V., 2017)
A coupled Eulerian-Lagrangian Finite Element model of the orthogonal cutting process was developed to predict the influence that ferritepearlite steel variants have on fundamental process variables and tool wear. As a case ...
A Review in Fault Diagnosis and Health Assessment for Railway Traction Drives
(MDPI AG, 2018)
During the last decade, due to the increasing importance of reliability and availability, railway industry is making greater use of fault diagnosis approaches for early fault detection, as well as Condition-based maintenance ...
A Requirement Engineering Framework for Electric Motors Development
(MDPI AG, 2018)
The applications using electric motors have increased in the last decade. Some of these applications encounter the need for tailor-made motors that must meet demanding requirements. Therefore, the specification stage of ...
Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control
(MDPI AG, 2019)
This paper introduces a novel data driven yaw control algorithm synthesis method based on Reinforcement Learning (RL) for a variable pitch variable speed wind turbine. Yaw control has not been extendedly studied in the ...
Analysis of One-Way and Two-Way FSI Approaches to Characterise the Flow Regime and the Mechanical Behaviour during Closing Manoeuvring Operation of a Butterfly Valve
(World Academy of Science, Engineering and Technology, 2018)
Butterfly valves are widely used industrial piping components as on-off and flow controlling devices. The main challenge in the design process of this type of valves is the correct dimensioning to ensure ...
Spectrum-based fault localization in software product lines
(Elsevier B. V., 2018)
Context:
Software Product Line (SPL) testing is challenging mainly due to the potentially huge number of
products under test. Most of the research on this field focuses on making testing affordable by selecting ...
Microfluidic separation processes using the thermodiffusion effect
(Elsevier B.V., 2018)
The numerical and experimental results presented in this work show that a relatively small temperature gradient
(5K), has great potential to generate a separation in interesting mixtures for biological purpose. In fact, ...
Evaluation of 5G Modulation Candidates WCP-COQAM, GFDM-OQAM, and FBMC-OQAM in Low-Band Highly Dispersive Wireless Channels
(Hindawi, 2017)
We analyse some of the candidates for modulations for 5G: FBMC-OQAM, GFDM-OQAM, and WCP-COQAM. Unlike most of the related bibliographies, which are oriented to mobile communications, our research is focused on 5G in cognitive ...
