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Filippo Giorcelli, Sergej Antonello Sirigu, Giuseppe Giorgi, Nicolás Faedo, Mauro Bonfanti, Jacopo Ramello, Ermanno Giorcelli and Giuliana Mattiazzo
Among the challenges generated by the global climate crisis, a significant concern is the constant increase in energy demand. This leads to the need to ensure that any novel energy systems are not only renewable but also reliable in their performance. A ...
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Eric Fotsing,Severin Vianey Tuekam Kakeu,Eric Desire Kameni,Marcellin Julius Antonio Nkenlifack
Pág. 16 - 37
Nowadays, there is an increasing need to rapidly build more realistic models to solve environmental problems in an interdisciplinary context. In particular, agent-based and spatial modeling have proven to be useful for understanding land use and land cov...
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Meriem Sabrine Halilali, Eric Gouardères, Mauro Gaio and Florent Devin
This paper presents an approach to GWS (GeospatialWeb Service) discovery through the semantic annotation of WPS (Web Processing Service) service descriptions. The rationale behind this work is that search engines that use appropriate semantic-based simil...
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Chang-Yong Song
Meta-model sre generally applied to approximate multi-objective optimization, reliability analysis, reliability based design optimization, etc., not only in order to improve the efficiencies of numerical calculation and convergence, but also to facilitat...
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Julia Kaidalova,Kurt Sandkuhl,Ulf Seigerroth
Pág. 1 - 25
Products have evolved from being solely composed of mechanical and electrical parts to complex systems that are connected to the Internet and form the basis for new kinds of functionalities and services. Such smart connected products include a substantia...
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Kieu Anh Nguyen, Walter Chen, Bor-Shiun Lin and Uma Seeboonruang
Although machine learning has been extensively used in various fields, it has only recently been applied to soil erosion pin modeling. To improve upon previous methods of quantifying soil erosion based on erosion pin measurements, this study explored the...
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Gregory J. Grigoropoulos, Christos Bakirtzoglou, George Papadakis and Dimitrios Ntouras
The present paper proposes a new mixed-fidelity method to optimize the shape of ships using genetic algorithms (GA) and potential flow codes to evaluate the hydrodynamics of variant hull forms, enhanced by a surrogate model based on an Artificial Neural ...
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Tingting Zhang, Xiangfeng Guo, Julien Baroth and Daniel Dias
A rotation of the anisotropic soil fabric pattern is commonly observed in natural slopes with a tilted stratification. This study investigates the rotated anisotropy effects on slope reliability considering spatially varied soils. Karhunen?Loève expansio...
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Nicolas Lachenmaier, Daniel Baumgärtner, Heinz-Peter Schiffer and Johannes Kech
A turbocharger?s radial turbine has a strong impact on the fuel consumption and transient response of internal combustion engines. This paper summarizes the efforts to design a new radial turbine aiming at high efficiency and low inertia by applying two ...
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Kathleen Keogh and Liz Sonenberg
We address the challenge of multi-agent system (MAS) design for organisations of agents acting in dynamic and uncertain environments where runtime flexibility is required to enable improvisation through sharing knowledge and adapting behaviour. We identi...
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