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...been successfully combined with a nonstationary time series modelling for improved predictions of wind and wave parameters. The initial time series is first decomposed into a seasonal mean value and a residual stationary part multiplied by a seasonal standard deviation. Then, the FIS/ANFIS models are...

...problem in marine aquaculture and it has a number of negative impacts including increased forces on aquaculture structures and reduced water exchange across nets. This in turn affects the behavior of fish cages in waves and currents and has an impact on the water volume and quality inside net pens. Even...

In this study, we combine graph optimization and prediction in a single pipeline to investigate an innovative convolutional graph-based neural network for urban traffic flow prediction in an edge IoT environment. Pre-processing of the linked graph is first performed to remove noise from the set of original...

The purpose of this study was to evaluate the stability and therefore suitability of available fifth generation (5G) and long-term evolution (LTE) signals for positioning navigation and timing (PNT) purposes with particular focus on answering questions around the time-scale-dependent stability of these...

...growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with diabetes could therefore be supplemented by apps and digital interventions to increase patients’ skills. Several initiatives, models, and frameworks suggest how...

...scientific data and models in a semantic way. However, in order for people to start using it, tools and examples from real user cases are essential. The objective of this document is to provide tools for working with EMMO and show a real user case on how EMMO may be used to enable vertical and horizontal...

GPUs have over the last decades gone from esoteric and experimental to becoming the work-horse of supercomputers and HPC machines. Today, half of the ten fastest supercomputers (including number one) use NVIDIA GPUs for performance, and nine of the top ten most energy efficient supercomputers use NVIDIA...

...terrain-induced turbulence and wind shear close to the ground for aviation safety. The capabilities of the model are demonstrated by applying it to the Sandnessjøen Airport, Stokka, in Norway, an airport that is located in a mountainous area. The model is able to forecast turbulence in real time and trigger an alert...

...work, we examine the performance and energy efficiency when using Python for developing HPC codes running on the GPU. We investigate the portability of performance and energy efficiency between CUDA and OpenCL; beetween GPU generations; and between low-end, mid-range and high-end GPUs. Our findings show...