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Taehoon Lee, Byungjin Lee and Sangkyung Sung
This study proposes an enhanced integration algorithm that combines the magnetic field-based positioning system (MPS?Magnetic Pose Estimation System) with an inertial system with the advantage of an invariant filter structure. Specifically, to mitigate t...
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Minh-Quan Vo, Thu Nguyen, Michael A. Riegler and Hugo L. Hammer
Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of the models challenging. The most com...
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Donghyuk Kum, Jichul Ryu, Yongchul Shin, Jihong Jeon, Jeongho Han, Kyoung Jae Lim and Jonggun Kim
This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or...
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Salah Basem Ajjur and Emanuele Di Lorenzo
Natural groundwater recharge (GR) assessment depends on several hydrogeological and climatic inputs, where uncertainty is inevitable. Assessing how inputs? uncertainty affects GR estimation is important; however, it remains unclear in arid areas. This st...
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Mohammad Reza Goodarzi, Mahnaz Heydaripour, Vahid Jamali, Maryam Sabaghzadeh and Majid Niazkar
Climate change affects hydroclimatic variables, and assessing the uncertainty in future predictions is crucial. This study aims to explore variations in temperature and precipitation in the Kerman Plain under climate change impacts between 2023 and 2054....
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Yuyuan Zhou, Chao Sun and Lei Xie
Environmental mismatch degrades the performance of source localization and tracking methods in shallow water. One solution is to estimate source parameters and the key environmental parameters simultaneously from the acoustic data. In this paper, an unco...
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Xudong Han, Yongling Fu, Yan Wang, Mingkang Wang and Deming Zhu
The control accuracy and stability of the electrohydrostatic actuator (EHA) are directly impacted by parameter uncertainty, disturbance uncertainty, and non-matching disturbance, which negatively impacts aircraft rudder maneuvering performance and even r...
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Andreas Nugaard Holm, Dustin Wright and Isabelle Augenstein
Uncertainty approximation in text classification is an important area with applications in domain adaptation and interpretability. One of the most widely used uncertainty approximation methods is Monte Carlo (MC) dropout, which is computationally expensi...
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Claudia Sangüesa, Roberto Pizarro, Ben Ingram, Alfredo Ibáñez, Diego Rivera, Pablo García-Chevesich, Juan Pino, Felipe Pérez, Francisco Balocchi and Francisco Peña
Estimating intensity-duration-frequency (IDF) curves requires local historical information of precipitation intensity. When such information is unavailable, as in areas without rain gauges, it is necessary to consider other methods to estimate curve para...
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Jingxue Wang, Min Liu, Qingshan Yang, Yi Hui and Shidong Nie
The assessment of extreme wind loading on solar arrays plays a significant role in ensuring their safe operation under strong winds. Therefore, this paper investigates the extreme wind loading on solar arrays mounted on a flat roof by taking into account...
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