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  1. No Access

    Chapter and Conference Paper

    Study on the Influence of Temperature on the Verticality of Thin-Walled High Pier and the Control Method Based on Measured Temperature

    This paper presents a method for controlling the elevation of vertical molds for high piers based on measured temperature fields to address formwork deviation during the construction of the Huibai high-speed L...

    Liangliang Li, Ao Shen, Yao Tang, Yong Sun in Proceedings of the 2nd International Confe… (2024)

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    Chapter and Conference Paper

    Study on the Influencing Factors and Laws of Model Parameters of Turbine and Its Speed Control System

    The locust algorithm is used to identify the speed control system parameters of several thermal power plant turbine generator units, and the results of the parameter tests of several units are simulated and ve...

    Liang Huidong, Liu Baoling, He Jun in The Proceedings of the 18th Annual Confere… (2024)

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    Chapter and Conference Paper

    Design of the Stiffener Layout for Dome Structures Based on Topology Optimization

    The inner steel plate of the containment dome in the nuclear power plant is commonly used as formwork for concrete pouring. After construction, the steel plate also becomes a part of the load-bearing system of...

    Yougang Wang, Dingkun Chen, Yunlun Sun in Proceedings of the 2023 International Conf… (2024)

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    Chapter and Conference Paper

    Short-Circuit Fault Section Location Method of Flexible Interconnected Distribution Network Based on Transient Component Similarity

    The existence of soft normal open points (SNOP) in flexible interconnected distribution networks makes traditional fault location methods difficult to apply. This article proposes a method for locating fault s...

    Hongxu Yin, Liang Song, Zhitong **ng in The Proceedings of 2023 International Conf… (2024)

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    Chapter and Conference Paper

    Segment Anything Model for Semi-supervised Medical Image Segmentation via Selecting Reliable Pseudo-labels

    Semi-supervised learning (SSL) has become a hot topic due to its less dependence on annotated data compared to fully supervised methods. This advantage becomes more evident in the field of medical imaging, whe...

    Ning Li, Lian** **ong, Wei Qiu, Yudong Pan, Yiqian Luo in Neural Information Processing (2024)

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    Chapter and Conference Paper

    SSVEP Data Augmentation Based on Filter Band Masking and Random Phase Erasing

    Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have shown promising results in various applications, such as controlling prosthetic devices and augmented reality systems. H...

    Yudong Pan, Ning Li, Lian** **ong, Yiqian Luo in Neural Information Processing (2024)

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    Chapter and Conference Paper

    Carbon Trading Pricing Mechanism and Its Impact on the Energy Industry

    In economics, the negative externality of environmental pollution can be solved through internalization. Carbon pricing is the economic behavior of enterprises or governments to internalize the cost of greenho...

    Yu-jia Wu, Feng Gao, ** Wang, Yun Peng in Proceedings of the International Field Exp… (2024)

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    Chapter and Conference Paper

    Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model

    The diagnosis of autism spectrum disorder (ASD) is a challenging task, especially for children. In order to determine whether a person has ASD or not, the conventional methods are questionnaires and behavioral...

    Yiqian Luo, Ning Li, Yudong Pan, Wei Qiu, Lian** **ong in Neural Information Processing (2024)

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    Chapter and Conference Paper

    Investigation on Seismic Performance Degradation of Hub Large-Span Roof Structures Considering Corrosion and Damage Accumulation

    Hub transportation facilities are important lifeline projects in cities. Once they are damaged by earthquakes, their functional use will be lost, resulting in significant adverse social impacts. The roof struc...

    Yang Ding, Qi Si, Liang Zong in Proceedings of the 11th International Conf… (2024)

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    Chapter and Conference Paper

    Study on Geological Characteristics and Distribution Law of Remaining Oil in Changqing H Area

    After years of water drive development in H area of Changqing low permeability reservoir,the degree of geological recovery is high, and the rate of water cut rise is accelerated, it is urgent to study the law ...

    Guo-wei Yuan, Jun-hong Jia, Qi-liang Mei in Proceedings of the International Field Exp… (2024)

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    Chapter and Conference Paper

    Fire Safety Assessment on Blast Simulation Model of Petrochemical Engineering Based on the Most Disadvantageous Point

    Based on the traditional research method of safety risk of petrochemical industry in China, the concept of safety capacity is not fully embodied: the principle of the most disadvantageous point was not conside...

    Wenxu Yang, B. H. Abu Bakar, Hussin Mamat in Proceedings of AWAM International Conferen… (2024)

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    Chapter and Conference Paper

    International Oil Company CCUS Business and Technology Models

    Carbon dioxide capture, utilization and storage (CCUS) is an important breakthrough for the oil and gas industry to improve energy efficiency and achieve low-carbon transition. The oil and gas industry was one...

    ** Wang, Feng Gao, Liang **ong, Yu-jia Wu in Proceedings of the International Field Exp… (2024)

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    Chapter and Conference Paper

    Spatial-Temporal Graph Convolutional Network for Insomnia Classification via Brain Functional Connectivity Imaging of rs-fMRI

    Chronic Insomnia Disorder (CID) is a prevalent sleep disorder characterized by persistent difficulties in initiating or maintaining sleep, leading to significant impairment in daily functioning and quality of ...

    Wenjun Zhou, Weicheng Luo, Liang Gong, **g Ou in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Analysis of the Development Status and Policy Trends of Carbon Pricing Mechanism in the Oil and Gas Industry

    In the context of accelerating energy transition, the coverage of the international carbon pricing mechanism continues to expand, the carbon price level and the carbon pricing income of various countries have ...

    Yun Peng, Jia Li, Feng Gao, Jie**n Yi in Proceedings of the International Field Exp… (2024)

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    Chapter and Conference Paper

    Damage and Failure Characterization of Nanostructured Ceramic Coatings Under Uniaxial Tensile Loading

    Ceramic coatings will be subjected to the interaction of various complex loads during service. Therefore, it is very important to study the damage evolution and failure mechanism of the ceramic coating/alloy s...

    Wang Haoyang, Liang Lihong in Computational and Experimental Simulations in Engineering (2024)

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    Chapter and Conference Paper

    Influencing Factors and Engineering Parameter Optimization of Fractured Horizontal Well Productivity in Tight Gas Reservoir

    Tight sandstone gas reservoirs are important strategic replacement resources in China and are the main type of unconventional natural gas reservoirs. Horizontal well multi-stage fracturing technology is an eff...

    Yun-dong Xu, Zhi-jun Liu, Liang-rong You in Proceedings of the International Field Exp… (2024)

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    Chapter and Conference Paper

    New Stability Criteria for Markov Jump Systems Under DoS Attacks and Packet Loss via Dynamic Event-Triggered Control

    In this paper, the exponential mean square stability of Markov jump systems under packet loss and denial-of-service (DoS) attacks is studied by the dynamic event-triggered mechanism(DETM). Different from the e...

    Huizhen Chen, Haiyang Zhang, Lianglin **ong, Shanshan Zhao in Neural Information Processing (2024)

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    Chapter and Conference Paper

    Nearest Memory Augmented Feature Reconstruction for Unified Anomaly Detection

    Reconstruction-based anomaly detection methods expect to reconstruct normality well but fail for abnormality. Memory modules have been exploited to avoid reconstructing anomalies, but they may overgeneralize b...

    Honghao Wu, Chao Wang, Zihao Jian, Yongxuan Lai in Neural Information Processing (2024)

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    Chapter and Conference Paper

    Enhanced Geothermal System Performance Prediction Based on Deep Learning Neural Networks

    The rapid development of the global economy and the sharp rise in population has increased human demand for energy. Hot dry rock (HDR) geothermal energy has attracted much attention because of its wide distrib...

    Chuan-Yong Zhu, Di Huang, Bo Yu, Liang Gong in Computational and Experimental Simulations… (2024)

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    Chapter and Conference Paper

    Research on the THMC Coupling Model for Enhanced Geothermal Systems Based on the Framework of EDFM

    The Enhanced Geothermal System (EGS) involves a complex thermo-hydro-mechanical-chemical (THMC) coupling process during long-term heat extraction. However, many models used to solve fractured reservoir problem...

    Weitao Zhang, Dongxu Han, Kaituo Jiao in Computational and Experimental Simulations… (2024)

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