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Hanen Mhamdi, Jérémie Bourdon, Abdelhalim Larhlimi and Mourad Elloumi
The integration of high-throughput data to build predictive computational models of cellular metabolism is a major challenge of systems biology. These models are needed to predict cellular responses to genetic and environmental perturbations. Typically, ...
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Ai-Sheng Wang, Zhang-Cai Yin and Shen Ying
The possibility of moving objects accessing different types of points of interest (POIs) at specific times is not always the same, so quantitative time geography research needs to consider the actual POI semantic information, including POI attributes and...
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Oscar D. Hurtado, Albert R. Ortiz, Daniel Gomez and Rodrigo Astroza
Simplifications and theoretical assumptions are usually incorporated into the numerical modeling of structures. However, these assumptions may reduce the accuracy of the simulation results. This problem has led to the development of model-updating techni...
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Alaa Ghazi, Yasir Hashim
Pág. 271 - 278
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Ashraf Jaradat, Fadi Safieddine, Aziz Deraman, Omar Ali, Ahmad Al-Ahmad and Yehia Ibrahim Alzoubi
Real-world data obtained from integrating heterogeneous data sources are often multi-valued, uncertain, imprecise, error-prone, outdated, and have different degrees of accuracy and correctness. It is critical to resolve data uncertainty and conflicts to ...
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Álvaro Rollón de Pinedo, Mathieu Couplet, Bertrand Iooss, Nathalie Marie, Amandine Marrel, Elsa Merle and Roman Sueur
Finding outliers in functional infinite-dimensional vector spaces is widely present in the industry for data that may originate from physical measurements or numerical simulations. An automatic and unsupervised process of outlier identification can help ...
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Amin Rashidi, Denys Dutykh, Zaher Hossein Shomali, Nasser Keshavarz Farajkhah and Mohammadsadegh Nouri
The uncertain tsunamigenic potential of the Makran Subduction Zone (MSZ) has made it an interesting natural laboratory for tsunami-related studies. This study aims to review the recent activities on tsunami hazard in the Makran subduction zone with a foc...
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Ashkan Zarnani, Soheila Karimi and Petr Musilek
Information about forecast uncertainty is vital for optimal decision making in many domains that use weather forecasts. However, it is not available in the immediate output of deterministic numerical weather prediction systems. In this paper, we investig...
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Rostislav Rypl,Miroslav Vorechovský
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Ephraim Suhir
Improvements in safety in the air and in space can be achieved through better ergonomics, better work environment, and other efforts of the traditional avionic psychology that directly affect human behaviors and performance. There is also a significant p...
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Robert Lagerström,Pontus Johnson,Mathias Ekstedt,Ulrik Franke,Khurram Shahzad
Pág. 38 - 68
The Multi-Attribute Prediction Language (MAPL), an analysis metamodel for non-functional qualities of system architectures, is introduced. MAPL features automate analysis in five non-functional areas: service cost, service availability, data accuracy, ap...
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Changkyu Kim, Do-Eun Choe, Pedro Castro-Borges and Homero Castaneda
Corrosion of the reinforced concrete (RC) structures has been affecting the major infrastructures in U.S. and in other continents, causing the recent several bridge collapses and incidents. While the theoretical understanding is well-established, the rel...
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Andreas Efstratiadis, Panagiotis Dimas, George Pouliasis, Ioannis Tsoukalas, Panagiotis Kossieris, Vasilis Bellos, Georgia-Konstantina Sakki, Christos Makropoulos and Spyridon Michas
We propose a novel probabilistic approach to flood hazard assessment, aiming to address the major shortcomings of everyday deterministic engineering practices in a computationally efficient manner. In this context, the principal sources of uncertainty ar...
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Alexander Chubukov, Valeriy Kapitanov, Olga Monina, Valentin Silyanov, Ulrich Brannolte
Pág. 112 - 124
The paper gives the results of scientific research, which, being based on probabilistic and statistical modeling, identifies the relationship of certain socio-economic factors and the number of people killed in road accidents in the Russian Federation re...
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Ashley I. Teufel, Jing Zhao, Malgorzata O'Reilly, Liang Liu and David A. Liberles
Characterizing the mechanisms of duplicate gene retention using phylogenetic methods requires models that are consistent with different biological processes. The interplay between complex biological processes and necessarily simpler statistical models le...
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A. I. Lantuh-Lyaschenko
Pág. 150 - 154
This paper presents the application of a probabilistic approach for the modeling of service life of highway bridge elements. The focus of this paper is on the Markov stochastic deterioration models. These models can be used as effective tool for technica...
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Ameeth Sooklall and Jean Vincent Fonou-Dombeu
The high number of ontologies available on the web to date makes it increasingly difficult to select appropriate ontologies for reuse. Many studies have attempted to provide support for ontology selection and ranking; however, the existing studies provid...
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Tengfei Wang, Qing Wu, Mihai A. Diaconeasa, Xinping Yan and Ali Mosleh
A ship collision accident is one of the most dangerous and common types of maritime accidents. Traditional probabilistic risk assessment (PRA) of ship collision accidents is a methodology that can be adopted to ensure maritime safety. Nevertheless, a nee...
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Ciro Caliendo, Isidoro Russo and Gianluca Genovese
We have set up a Computational Fluid Dynamics (CFD) modeling, and performed a user evacuation model, for evaluating the risk level in one-way road tunnel tube when used for bi-directional traffic in particular circumstances. The simulations were carried ...
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