Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Morris, Riedel"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13893-13907 (2024)
This article presents Sen4Map, a large-scale benchmark dataset designed to enhance the capability of generating land-cover maps using Sentinel-2 data. Comprising nonoverlapping $ \text{64} \times \text{64} $ patches extracted from Sentinel-2 time ser
Externí odkaz:
https://doaj.org/article/5642c6d1abd7420d8932d8a9a502a55c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3262-3269 (2024)
The increased development of quantum computing hardware in recent years has led to increased interest in its application to various areas. Finding effective ways to apply this technology to real-world use-cases is a current area of research in the re
Externí odkaz:
https://doaj.org/article/7674d550dc384ad7a1920c077d7d192a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1434-1445 (2024)
In recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in quantum machine learning and in particular for the popular quantum supp
Externí odkaz:
https://doaj.org/article/6796ef3db9fa4ff88b8b4ec7a46c1ce2
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-23 (2023)
Abstract Continuously increasing data volumes from multiple sources, such as simulation and experimental measurements, demand efficient algorithms for an analysis within a realistic timeframe. Deep learning models have proven to be capable of underst
Externí odkaz:
https://doaj.org/article/1ea7daa2801f435cb665bebd532759dc
Autor:
Roberto Fernandez Martinez, Pello Jimbert, Eric Michael Sumner, Morris Riedel, Runar Unnthorsson
Publikováno v:
Acoustics, Vol 5, Iss 1, Pp 254-267 (2023)
The generation of a virtual, personal, auditory space to obtain a high-quality sound experience when using headphones is of great significance. Normally this experience is improved using personalized head-related transfer functions (HRTFs) that depen
Externí odkaz:
https://doaj.org/article/7dad59345b184b458abc4ca43970fd95
Publikováno v:
Fluids, Vol 9, Iss 4, p 84 (2024)
This study presents a novel approach to using a gated recurrent unit (GRU) model, a deep neural network, to predict turbulent flows in a Lagrangian framework. The emerging velocity field is predicted based on experimental data from a strained turbule
Externí odkaz:
https://doaj.org/article/6eadbcce9cbd4b0a853fb639370a94b0
Publikováno v:
Fluids, Vol 9, Iss 1, p 17 (2024)
This study proposes a computational model to define the wind velocity of the environment on the photovoltaic (PV) module via heat transfer concepts. The effect of the wind velocity and PV module is mostly considered a cooling effect. However, cooling
Externí odkaz:
https://doaj.org/article/6914b13088a849af91b691e1a34eb21d
Autor:
Reza Hassanian, Morris Riedel
Publikováno v:
Computation, Vol 11, Iss 11, p 227 (2023)
This study introduces an approach for modeling an arm of a Stewart platform to analyze the location of sections with a high deflection among the arms. Given the dynamic nature of the Stewart platform, its arms experience static and dynamic loads. The
Externí odkaz:
https://doaj.org/article/a98eef32de1b4e5295040701e7d76665
Publikováno v:
Thermo, Vol 2, Iss 1, Pp 39-55 (2022)
This paper evaluates the photovoltaic (PV) module operating temperature’s relation to efficiency via a numerical heat transfer model. The literature reports that higher PV module operating temperatures impact PV module efficiency. There are dozens
Externí odkaz:
https://doaj.org/article/f1fc7890107446638fbabbaf90213b1c
Autor:
Chadi S. Barakat, Konstantin Sharafutdinov, Josefine Busch, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Andreas Schuppert, Sigurður Brynjólfsson, Sebastian Fritsch, Morris Riedel
Publikováno v:
Diagnostics, Vol 13, Iss 12, p 2098 (2023)
Acute Respiratory Distress Syndrome (ARDS) is a condition that endangers the lives of many Intensive Care Unit patients through gradual reduction of lung function. Due to its heterogeneity, this condition has been difficult to diagnose and treat, alt
Externí odkaz:
https://doaj.org/article/68f993e2e5b9465ea5347f526a18c844