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  1. 8161

    Parabolic Equation Modeling of Propagation over Terrain Using Digital Elevation Model by Xiao-Wei Guan, Li-Xin Guo, Ya-Jiao Wang, Qing-Liang Li

    Published 2018-01-01
    “…The simulation results demonstrate that the prediction errors will be obvious only when the resolution of the DEM used is much larger than the range step in the PE method.…”
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  2. 8162

    The Effects of Anthropogenic Heat Release on Urban Meteorology and Implication for Haze Pollution in the Beijing-Tianjin-Hebei Region by Ruiting Liu, Zhiwei Han

    Published 2016-01-01
    “…The comparison with observation demonstrated the WRF/UCM model taking AHR into account apparently improved meteorological prediction, especially for surface air temperature at 2 m (T2). …”
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  3. 8163

    Visualized Real-Time Early Warning Technology for Safety Monitoring of Excavation Construction in Dense Housing Area of Urban Villages by TANG Xiaolin, ZHOU Yifan, ZHU Zhaoyin, ZHANG Zhongbing, SHEN Jiali, JIN Lianghai

    Published 2022-01-01
    “…The rain-sewage diversion project in the dense housing area of urban villages involves a large amount of trench excavation,which leads to prominent safety problems in construction.The safety monitoring and analysis of trench excavation are characterized by high requirements,complex data association,and poor data conditions,and thus we propose a theoretical method of organic integration of land subsidence mechanisms and data analysis process.The intelligent analysis method for land subsidence in trench excavation is based on digital twin technology,which integrates data and knowledge to realize visualized real-time monitoring,prediction,and control of land subsidence in urban villages.The method extracts and expresses the scenes,processes,objects,problems,and knowledge of the whole life cycle of land subsidence in survey and design,trial excavation,and formal excavation construction,and a big data analysis model of land subsidence based on data-knowledge fusion is developed.The research results can provide a scientific basis for the safety decision-making of excavation construction in the dense housing area of urban villages.…”
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  4. 8164

    CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model by Li Jie, Wang Shuai, Lan Hai, Wang Zhiyong

    Published 2024-07-01
    “…Compared with the traditional BP model, the prediction accuracy is obviously improved, which can meet the needs of practical engineering. …”
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  5. 8165
  6. 8166

    A Review of the Detection Methods for Climate Regime Shifts by Qunqun Liu, Shiquan Wan, Bin Gu

    Published 2016-01-01
    “…Study on the phenomenon and theory of the abrupt climate change is a new research field of modern climatology, and it is of great significance for the prediction of future climate change. The climate regime shift is one of the most common forms of abrupt climate change, which mainly refers to the statistical significant changes on the variable of climate system at one time scale. …”
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  7. 8167

    Development and Application of Real-time Dynamic Flood Risk Mapping by TAN Senming, GUO Shuhui, CAO Runxiang

    Published 2024-12-01
    “…Several key issues require further study to meet the practical application needs of flood control and drought management departments in areas such as flood risk prediction, engineering scheduling, disaster status inquiry, and personnel evacuation. …”
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  8. 8168

    On Analytical Solution of a Plasma Flow over a Moving Plate under the Effect of an Applied Magnetic Field by Taha Zakaraia Abdel Wahid, Adel M. Morad

    Published 2020-01-01
    “…Besides, the thermodynamic prediction is investigated by applying irreversible thermodynamic principles and extended Gibbs formula. …”
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  9. 8169

    The Design, Synthesis, and Characterization of Resveratrol Derivatives Modified by Different γ-Aminobutyric Acid Esters by Bing Ren Tian, Jia Yue Liu, Hu Rong Ge, Zhi Zhong Wang, Shao Yun Huang, Yu Ying Wang, Qing Huang, Rui Xia Zhang

    Published 2019-01-01
    “…Molecular water solubility, polar surface area, and octanol-water partition were calculated, which correlated well with molecular transport through membranes and, therefore, enabled prediction of transport properties of drugs.…”
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  10. 8170

    Screening for Ischemic Heart Disease with Cardiac CT: Current Recommendations by Matthew J. Budoff

    Published 2012-01-01
    “…Traditional risk factor assessment does not fully account for the coronary risk and underestimates the prediction of risk even in patients with established risk factors for atherosclerosis. …”
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  11. 8171

    No-Reference Video Quality Assessment Model for Distortion Caused by Packet Loss in the Real-Time Mobile Video Services by Jiarun Song, Fuzheng Yang

    Published 2014-01-01
    “…For most video streams, because the predictive coding structures are employed, the transmission errors in one frame will not only cause decoding failure of itself at the receiver side, but also propagate to its subsequent frames along the motion prediction path, which will bring a significant degradation of end-to-end video quality. …”
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  12. 8172

    Gamma-Ray Bursts as Multienergy Neutrino Sources by Katsuaki Asano, Kohta Murase

    Published 2015-01-01
    “…IceCube nondetection of PeV neutrinos coincident with GRBs has put interesting constraints on the standard theoretical prediction. The GRB-UHECR hypothesis can critically be tested by future observations. …”
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  13. 8173

    Distributed Cooperative Search Control Method of Multiple UAVs for Moving Target by Chang-jian Ru, Xiao-ming Qi, Xu-ning Guan

    Published 2015-01-01
    “…To improve computational efficiency, the distributed model predictive control method is presented, and thus the control command of each UAV can be obtained. …”
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  14. 8174

    Measurement of Total Flow Rates in Horizontal Well Oil-Water Two-Phase Flows by the Application of BP Neural Network Algorithm to Production Array Logs by Xin Zhang, Hongwei Song, Haimin Guo, Xinlei Shi

    Published 2022-01-01
    “…The results showed that the average relative error was less than 10%, which justify that the BPNN has good practicability in using data of MAPS in oil-water two-phase flows horizontal wells to predict the total flow rates, and it provides a new method and theoretical support for obtaining flow rates in horizontal wells.…”
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  15. 8175

    High-cycle notch sensitivity of alloy steel ASTM A743 CA6NM used in hydrogenator turbine components by José Alexander Araújo, Jorge Luiz de Almeida Ferreira, Braitner Lobato da Silva

    Published 2010-10-01
    “…According to results obtained it was possible to conclude that the tested material is less sensitive to notches than the prediction of the Peterson and Neuber’s empirical models.…”
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  16. 8176

    Bias Identification and Attribution in NLP Models With Regression and Effect Sizes by Erenay Dayanik, Ngoc Thang Vu, Sebastian Padó

    Published 2022-08-01
    “…We demonstrate the benefits of our method by analyzing a range of current NLP models on one regression and one classification tasks (emotion intensity prediction and coreference resolution, respectively). …”
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  17. 8177

    A Multiscale Model for Virus Capsid Dynamics by Changjun Chen, Rishu Saxena, Guo-Wei Wei

    Published 2010-01-01
    “…Typically, a virus complex in association with its aquatic environment poses a fabulous challenge to theoretical description and prediction. In this work, we propose a differential geometry-based multiscale paradigm to model complex biomolecule systems. …”
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  18. 8178

    Optimism bias, judgment of severity, and behavioral change during two stages of the pandemics in China by Dannuo Lyu, Fanli Jia, Xiaosong Gai

    Published 2025-01-01
    “…In this study, the number of infections among participants’ social relations negatively predicted optimism bias, while the judged severity of COVID-19 consequences positively predicted it. …”
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  19. 8179

    Membership inference attack and defense method in federated learning based on GAN by Jiale ZHANG, Chengcheng ZHU, Xiaobing SUN, Bing CHEN

    Published 2023-05-01
    “…Aiming at the problem that the federated learning system was extremely vulnerable to membership inference attacks initiated by malicious parties in the prediction stage, and the existing defense methods were difficult to achieve a balance between privacy protection and model loss.Membership inference attacks and their defense methods were explored in the context of federated learning.Firstly, two membership inference attack methods called class-level attack and user-level attack based on generative adversarial network (GAN) were proposed, where the former was aimed at leaking the training data privacy of all participants, while the latter could specify a specific participant.In addition, a membership inference defense method in federated learning based on adversarial sample (DefMIA) was further proposed, which could effectively defend against membership inference attacks by designing adversarial sample noise addition methods for global model parameters while ensuring the accuracy of federated learning.The experimental results show that class-level and user-level membership inference attack can achieve over 90% attack accuracy in federated learning, while after using the DefMIA method, their attack accuracy is significantly reduced, approaching random guessing (50%).…”
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  20. 8180

    Analysis of the Occurrence Mechanism for Coal and Gas Outburst Based on Multiple Discriminant Indices by Hai Rong, Hongwei Zhang, Bing Liang, Weihua Song

    Published 2019-01-01
    “…The research results determine the main influencing factors and regional distribution law of coal and gas outburst, which is of great significance to the risk prediction and prevention of dynamic disasters such as coal and gas outburst.…”
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