Consolidating usability problems (UPs) from problem lists from several users can be a cognitively demanding task for evaluators. It has been suggested that collaboration between evaluators can help this process. In an attempt to learn how evaluators ...

Liquid dominated reservoirs are a common type of hydrothermal reservoirs. They consist of fractured rock and reservoir fluid which may obey Darcy’s law. Steam can form in such reservoirs either through heat input which causes temperature increase or ...

The aim of this study was to evaluate the Classification of Usability Problems (CUP) scheme. The goal of CUP is to classify usability problems further to give user interface developers better feedback to improve their understanding of usability problems, ...

Memory consumption of de Bruijn graphs is often prohibitive. Most de Bruijn graph-based assemblers reduce the complexity by compacting paths into single vertices, but this is challenging as it requires the uncompacted de Bruijn graph to be available ...

This study presents a deep learning (DL) neural network hybrid data-driven method that is able to predict turbulence flow velocity field. Recently many studies have reported the application of recurrent neural network (RNN) methods, particularly the ...

Diatoms are a major group of unicellular algae that are rich in lipids and carotenoids. However, sustained research efforts are needed to improve the strain performance for high product yields towards commercialization. In this study, we generated a ...

System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial ...

This paper reports the results of corrosion study for carbon steel, austenitic stainless steel, as well as titanium and nickel-based alloys which were tested in a simulated superheated geothermal environment (SSGE) in flow-through reactors to investigate ...

The subject of this study presents an employed method in deep learning to create a model and predict the following period of turbulent flow velocity. The applied data in this study are extracted datasets from simulated turbulent flow in the laboratory ...

The use of Machine Learning (ML) techniques in the medical field is not a new occurrence and several papers describing research in that direction have been published. This research has helped in analysing medical images, creating responsive cardiovascular ...