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Global evaluation of WBGT and SET indices for outdoor environments using thermal imaging and artificial neural networks
(
Elsevier
, 2020 , Article)
The health and well-being of occupants of outdoor environments are largely affected by thermal stress, and therefore a global assessment is essential. Wet-bulb globe-temperature (WBGT) is used as a heat stress indicator ...
Experimental investigation and artificial intelligence-based modeling of the residual impact damage effect on the crashworthiness of braided Carbon/Kevlar tubes
(
Elsevier
, 2020 , Other)
Fiber reinforced plastic composites are promising candidates for building the next generation of automotive and aircraft structures. However, these materials are sensitive to any potential impact, which may cause matrix ...
Experimental Investigation and Uncertainty Prediction of the Load-Carrying Capacity of Composite Double Hat for Lattice Core Sandwich Panels Using Artificial Neural Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Carbon fiber reinforced composites are promising candidates for building advanced multifunctional structures with superior properties that are suitable for the next generation of automotive and aircraft applications. This ...
The use of composite to eliminate the effect of welding on the bending behavior of metallic pipes
(
Elsevier
, 2020 , Article)
In this study, the fiber-reinforced polymeric composite (FRP) overwrap system is proposed to eliminate the effect of the heat-affected zone on the pressure capacity and the deterioration property of the welded pipes. The ...
An improved generic Johnson-Cook model for the flow prediction of different categories of alloys at elevated temperatures and dynamic loading conditions
(
Elsevier
, 2021 , Article)
This paper presents a generic model for material flow prediction based on the well-known Johnson-Cook model.
The model is developed to precisely predict the flow behavior of various categories of alloys. The coupled ...
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
(
Association for Computational Linguistics (ACL)
, 2021 , Conference Paper)
In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020. We collected 138 verified claims, ...
Boundary optimal control design for a system of parabolic-hyperbolic PDEs coupled with an ODE
(
Taylor and Francis Ltd.
, 2020 , Article)
This paper deals with the design of a boundary optimal controller for a general model of parabolic-hyperbolic PDEs coupled with an ODE. The augmented infinite-dimensional state-space representation has been used in order ...
Duality-based optimal compensator for boundary control hyperbolic PDEs system: Application to a tubular cracking reactor
(
Elsevier
, 2020 , Article)
This paper is devoted to the design of an optimal stabilizing compensator for a boundary control distributed parameter system that is described by a set of hyperbolic partial differential equations (PDEs). The standard ...
Optimal control and duality-based observer design for a hyperbolic PDEs system with application to fixed-bed reactor
(
Taylor and Francis Ltd.
, 2021 , Article)
This paper is devoted to the design of an optimal infinite-dimensional Luenberger observer combined with a linear-quadratic state feedback controller for a system of hyperbolic PDEs. The design is based on the duality fact ...
Observer design for hyperbolic PDEs system with application to a fixed-bed chemical reactor model
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This work is devoted to the development of an optimal infinite-dimensional Luenberger observer for a system of hyperbolic PDEs. For this purpose, the duality fact linking the control design and the observer design is used. ...