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António José Oliveira, Bruno Miguel Ferreira and Nuno Alexandre Cruz
In underwater navigation, sonars are useful sensing devices for operation in confined or structured environments, enabling the detection and identification of underwater environmental features through the acquisition of acoustic images. Nonetheless, in t...
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Oleksandr Gibalenko,Victoriia Gibalenko,Olena Bocharova
Pág. 66 - 72
The study suggests a method for determining the characteristic and desired values of corrosion resistance indicators to estimate the reliability parameters of systems of anticorrosive protection of structures (SAPS). The approach is based on developing r...
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Alex Garivaltis
This note provides a neat and enjoyable expansion and application of the magnificent Ordentlich-Cover theory of ?universal portfolios?. I generalize Cover?s benchmark of the best constant-rebalanced portfolio (or 1-linear trading strategy) in hindsight b...
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Rafaela Dezidério dos Santos Rocha and Márcio Laurini
The multifactor asset pricing model derived from the Fama?French approach is extensively used in asset risk premium estimation procedures. Even including a considerable number of factors, it is still possible that omitted factors affect the estimation of...
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Desheng Zhang, Xin Wang, Ming Zhao, Lin Hong and Xuecheng Li
Remotely operated underwater vehicles (ROVs) have been widely used in deep-sea resource exploitation and industrial engineering operations. To perform these tasks accurately in the deep-sea environment, stable motion control has become a key area of rese...
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Heyan Wang, Dahai Li, Xinwei Zhang, Renhao Ge and Wanxing Zheng
Sampled points on a measured surface are not evenly spaced on rectangular grids but, rather, have a more general quadrilateral geometry due to the perspective effect of the off-axis configuration, which is extensively utilized in phase measuring deflecto...
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Mathilde Merle, Florent Collot, Julien Castelneau, Pauline Migerditichan, Mehdi Juhoor, Buntheng Ly, Valery Ozenne, Bruno Quesson, Nejib Zemzemi, Yves Coudière, Pierre Jaïs, Hubert Cochet and Maxime Sermesant
The tremendous advancement of cardiac imaging methods, the substantial progress in predictive modelling, along with the amount of new investigative multimodalities, challenge the current technologies in the cardiology field. Innovative, robust and multim...
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Afef Khalil, Mohammed El Amine Abdelli and Emmanuel Mogaji
The COVID-19 pandemic is not only a medical emergency but also a business emergency that has created the need for organizations to be resilient and versatile in managing the impact of the pandemic on their business operations. At this time, small- and me...
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Tzu-Jui Lin and Karl A. Stol
Modern plantation forest procedures still rely heavily on manual data acquisition in the inventory process, limiting the quantity and quality of the collected data. This limitation in collection performance is often due to the difficulty of traversing th...
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Katleho Makatjane and Tshepiso Tsoku
This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and Expected Shortfall (ES) uncertainty intervals in high frequency data. A Bayesian bootstrapping and backtest density forecasts, which a...
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Stefano Ercolessi, Giovanni Fabbrocino and Carlo Rainieri
Recent collapses and malfunctions of European bridges threatened the service conditions of road networks and pointed out the need for robust procedures to mitigate the impact of material degradation and overloading of existing bridges. Condition assessme...
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Dario Gioia, Maria Danese, Giuseppe Corrado, Paola Di Leo, Antonio Minervino Amodio and Marcello Schiattarella
Automatic procedures for landform extraction is a growing research field but extensive quantitative studies of the prediction accuracy of Automatic Landform Classification (ACL) based on a direct comparison with geomorphological maps are rather limited. ...
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Jan Budroweit, Mattis Jaksch, Rubén Garcia Alía, Andrea Coronetti and Alexander Kölpin
Nowadays, technologies have a massive impact on the design of avionic systems, even for the conservative space industry. In this paper, the single event effect (SEE) characterization of a highly integrated and radio frequency (RF) agile transceiver is be...
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Tiziana Catarci, Francesco Leotta, Andrea Marrella, Massimo Mecella and Mahmoud Sharf
Healthcare is one of the largest business segments in the world and is a critical area for future growth. In order to ensure efficient access to medical and patient-related information, hospitals have invested heavily in improving clinical mobile technol...
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Sándor Nagy, Péter Kisszékelyi, József Kupai
Pág. 467?475
Thiosquaramides are the thio analogues of squaramides that are widely applicable in the fields of asymmetric catalysis, pharmaceutical research, and chemical biology. Having four-membered ring system derived from squaric acid, thiosquaramides are feasibl...
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Haiyong Xu, Xingnian Liu, Fujian Li, Sheng Huang and Chao Liu
Within the framework of the two-dimensional cell-centered Godunov-type finite volume (CCFV) method, this paper presents a novel multislope scheme on the basis of the monotone upstream scheme for conservation law (MUSCL) for numerically solving nonlinear ...
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Lee K. Jones, Nathan H. Gartner, Michael Shubov, Chronis Stamatiadis, David Einstein
Pág. 887 - 900
This study develops new methods for network assessment and control by taking explicit account of demand variability and uncertainty using partial sensor and survey data while imposing equilibrium conditions during the data collection phase. The methods c...
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Alfred Heller
This paper is based on the experience of introducing wireless sensor networks (WSNs) into the building industry in Denmark and in a rural area of Greenland. There are very real advantages in the application of the technology and its consequences for the ...
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Zuhier Alakayleh, Xing Fang and T. Prabhakar Clement
This study aims at furthering our understanding of the Modified Philip?Dunne Infiltrometer (MPDI), which is used to determine the saturated hydraulic conductivity Ks and the Green?Ampt suction head ? at the wetting front. We have developed a forward-mode...
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Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulner...
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