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Sima Rastayesh, Amol Mankar, John Dalsgaard Sørensen and Sajjad Bahrebar
This paper presents recent contributions to the Marie Sklodowska-Curie Innovative Training Network titled INFRASTAR (Innovation and Networking for Fatigue and Reliability Analysis of Structures-Training for Assessment of Risk) in the field of reliability...
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Raziyeh AmirTeymoori, Seyed AbdolMajid Jalaee, Mohsen ZayandehRoodi
Pág. 124 - 134
The synchronization of business cycles is one of the new topics that have been raised in recent decades in the field of international business at the same time of increased economic integration between countries. Accordingly, considering the influenced I...
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Jingbei Sun, Huimin Li, Wenming Lin and Yijun He
Spaceborne synthetic aperture radar (SAR) has been proven to be a useful technique for observing the sea surface wind and current over the open ocean given its all-weather data-gathering capability and high spatial resolution. In addition to the commonly...
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Sujin Lu, Jianming Li, Jianhua Si, Yan Miao, Xuejiao Qi, Xiuzhi Zhang, Wenjin Bao, Xiaoyan Zhang, Shipeng Zhou, Cheng Jin, Lijuan Qi, Yue Qi, Xiaojing Zheng, Yanhong Gong, Zhanqing Wang, Yujing Wang, Bingyu Yi and Huiming Qi
Wetlands play an important role in water storage and water conservation, but with global climate change, the degradation of wetland ecosystems is accelerating. In this study, we conducted research on the current situation and future prediction of water q...
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Junwu Wang, Feng Guo, Yinghui Song, Yipeng Liu, Xuan Hu and Chunbao Yuan
Prefabricated buildings that are more environmentally friendly have been vigorously promoted by the Chinese government because of the reduced waste and carbon emissions during the construction process. Most of the construction processes of prefabricated ...
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Yu Cui, Zishang Zhu, Xudong Zhao, Zhaomeng Li and Peng Qin
Conventional building energy models (BEM) for heating and cooling energy-consumption prediction without calibration are not accurate, and the commonly used manual calibration method requires the high expertise of modelers. Bayesian calibration (BC) is a ...
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Xing Pan, Song Ding, Wenjin Zhang, Tun Liu, Liqin Wang and Lijing Wang
Space launch projects are extremely risky, and any equipment failure or human error may lead to disastrous consequences. Probabilistic risk assessment (PRA) is beneficial to qualitative analysis of risk, but it has not been paid enough attention in risk ...
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Martin Gjoreski, Vladimir Kuzmanovski and Marko Bohanec
Multi-attribute decision analysis is an approach to decision support in which decision alternatives are evaluated by multi-criteria models. An advanced feature of decision support models is the possibility to search for new alternatives that satisfy cert...
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Ting Dong and Nam H. Kim
In physics-based prognostics, model parameters are estimated by minimizing the error or maximizing the likelihood between model predictions and measured data. When multiple model parameters are strongly correlated, it is challenging to identify individua...
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Lifeng Guo, Baozhang Chen, Huifang Zhang, Guang Xu, Lijiang Lu, Xiaofeng Lin, Yawen Kong, Fei Wang and Yanpeng Li
In this study, we evaluated estimates and predictions of the PM2.5 (fine particulate matter) concentrations and emissions in Xuzhou, China, using a coupled Lagrangian particle dispersion modeling system (FLEXPART-WRF). A Bayesian inversion method was use...
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Weiping Liu, Xiaoyan Luo, Faming Huang, Mingfu Fu
Pág. 1 - 17
It is important to determine the soil?water characteristic curve (SWCC) for analyzing slope seepage and stability under the conditions of rainfall. However, SWCCs exhibit high uncertainty because of complex influencing factors, which has not been previou...
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Weiping Liu, Xiaoyan Luo, Faming Huang and Mingfu Fu
It is important to determine the soil?water characteristic curve (SWCC) for analyzing slope seepage and stability under the conditions of rainfall. However, SWCCs exhibit high uncertainty because of complex influencing factors, which has not been previou...
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Jian Chai, Shubin Wang, Shouyang Wang and Ju?e Guo
In this paper, petroleum product (mainly petrol and diesel) consumption in the transportation sector of China is analyzed. This was based on the Bayesian linear regression theory and Markov Chain Monte Carlo method (MCMC), establishing a demand-forecast ...
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Xiaoqin Lian, Xue Huang, Chao Gao, Guochun Ma, Yelan Wu, Yonggang Gong, Wenyang Guan and Jin Li
In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology. However, due to the interference of speckle noise, the task of classifying SAR ...
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Kongpei Wu, Huiqin Qu and Conggui Huang
For the current stage of complex and changing network environments and correlated and synchronized vulnerability attacks, this study first fuses attack graph technology and Bayesian networks and constructs Bayesian attack graphs toportray the correlation...
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Yan Wang, Lei Zhao, Longhao Qiu, Jinjin Wang and Chenmu Li
The underwater maneuvering platform generates self-noise when sailing, which shows spatial directionality to the arrays fixed on the platform. In this paper, it is called spatially colored noise (SCN). The direction of arrival (DOA) estimation results ar...
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Miaomiao Yu, Hongyong Yuan, Kaiyuan Li and Lizheng Deng
To separate the noise and important signal features of the indoor carbon dioxide (CO2) concentration signal, we proposed a noise cancellation method, based on time-varying, filtering-based empirical mode decomposition (TVF-EMD) with Bayesian optimization...
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Pengcheng Mu, Xin Zhang, Ping Qin and Bo He
Simultaneous Localization and Mapping (SLAM) is a well-known solution for mapping and realizing autonomous navigation of an Autonomous Underwater Vehicle (AUV) in unknown underwater environments. However, the inaccurate time-varying observation noise wil...
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Kwanghoon Kim, Sangho Lee and Youngkyu Jin
Especially for periods of drought, the higher the accuracy of reservoir inflow forecasting is, the more reliable the water supply from a dam is. This article focuses on the probabilistic forecasting of quarterly inflow to reservoirs, which determines est...
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Kwanghoon Kim, Sangho Lee and Youngkyu Jin
Especially for periods of drought, the higher the accuracy of reservoir inflow forecasting is, the more reliable the water supply from a dam is. This article focuses on the probabilistic forecasting of quarterly inflow to reservoirs, which determines est...
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