Showing 41 - 60 results of 1,087 for search 'field construction algorithm', query time: 0.15s Refine Results
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    Improved Hypernymy Detection Algorithm Based on Heterogeneous Graph Neural Network by Li Ren, Jing Huang, Hai-Tao Jia, Shu-Bao Sun, Kai-Shi Wang, Yi-Le Wu

    Published 2025-05-01
    “…In addition, a pipeline for hierarchical system construction is designed and implemented, combining the divide-and-conquer approach with loop detection algorithms. …”
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  3. 43

    Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam by Yunfei Xiang, Peng Lin, Haoyang Peng, Zichang Li, Yuanguang Liu, Yu Qiao, Zuobin Yang

    Published 2024-11-01
    “…In an actual concrete dam construction, the efficiency of thermal field reconstruction directly affects the timeliness of temperature control measures. …”
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    Optimization of an aircraft flight trajectory in the GLONASS dynamic accuracy field by O. N. Skrypnik, E. E. Nechaev, N. G. Arefyeva, R. O. Arefyev

    Published 2019-10-01
    “…The article presents the results of A-star algorithm application for constructing an optimal flight trajectory under conditions of SNS accuracy field variation and presence of prohibited zones in the provided airspace.…”
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  6. 46

    A Data Compression and Reconstruction Method for Distribution Network Field Operation Based on Compressed Sensing and Greedy Algorithm by TANG Lijun, YANG Yingchun, ZHAO Xu, HAN Tianxi, YAO Linpeng

    Published 2024-12-01
    “…In order to solve the data transmission problem of the intelligent early warning system of illegal behavior in the distribution network, a data compression and reconstruction method for the distribution network field operation based on compressed sensing and greedy algorithm is proposed. …”
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    ON SUPER (3n+5,2)- EDGE ANTIMAGIC TOTAL LABELING AND IT’S APPLICATION TO CONSTRUCT HILL CHIPER ALGORITHM by Rafiantika Megahnia Prihandini, Robiatul Adawiyah

    Published 2023-04-01
    “…This study discusses the use of Super (3n+5,2)- edge antimagic total labeling to construct the Hill Chiper algorithm. The variation of the edge weight function and the corresponding edge label on the  graph, will make the constructed lock more complicated to hack…”
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    Efficient Path Planning for Collision Avoidance of Construction Vibration Robots Based on Euclidean Signed Distance Field and Vector Safety Flight Corridors by Lei Li, Lingjie Kong, Chong Liu, Hong Wang, Mingyang Wang, Dongxu Pan, Jiasheng Tan, Wanji Yan, Yiang Sun

    Published 2025-03-01
    “…This study proposes a path safety optimization method based on safe flight corridors and Euclidean signed distance fields, which is suitable for flexible autonomous movement of vibrating robots between various vibration points. …”
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  12. 52

    Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

    Published 2025-04-01
    “…Abstract This paper studies a lightweight construction safety behavior detection model based on improved YOLOv8, aiming to improve the detection accuracy of safety behaviors on construction sites and achieve lightweight models. …”
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  13. 53

    Research on Centroid Localization Method of Underground Space Ground Electrode Current Field Based on RSSI by Sirui Chu, Hui Zhao, Zhong Su, Xiangxian Yao, Xibing Gu, Yanke Wang, Zhongao Ling

    Published 2025-05-01
    “…First, the propagation characteristics of the ground current field signal in underground space are analyzed, and the attenuation model of the ground current field signal is constructed by combining the RSSI ranging method. …”
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  14. 54

    Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration by V. L. Shuster, O. V. Tjukavkina, I. S. Permyakova, I. L. Kapitonova

    Published 2021-12-01
    “…The possibility of using a geostatistical algorithm for correcting well data based on multiparameter geophysical data was assessed; the current state of modelling the processes of exploration and development of oil fields with a complex geological structure was analysed.…”
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    Back-illuminated Light-spot-mapping Algorithm for Dual Rotation Robotic Fiber Positioners Based on an Artificial Probability Potential Field Method by Yingfu Wang, Jiahao Zhou, Ziming Liu, Rongfeng Chen, Jiacheng Xie, Hongzhuan Hu, Jianping Wang, Zhigang Liu, Jiaru Chu, Feifan Zhang, Haotong Zhang, Yong Zhang, Zengxiang Zhou

    Published 2025-01-01
    “…The back-illuminated images captured by the FVC show thousands of small light spots, each only hundreds of microns in size, randomly distributed on a completely black background, making accurate one-to-one mapping to the actual RFP positions highly challenging due to the lack of additional RFP features. This study constructs an artificial probability potential field to calculate the likelihood of each light spot appearing in the patrol area of an RFP, employing a global probability potential energy optimization method to establish the optimal mapping relationship. …”
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    Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models by Ithiphat Opasatian, Tofael Ahamed

    Published 2024-09-01
    “…In summary, image segmentation for detecting driveways can improve weed management in cassava fields, and the further automation of low-cost mechanical weeders in tropical climates can be performed based on the YOLACT algorithm.…”
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  20. 60

    A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

    Published 2025-07-01
    “…The algorithm first designs the Receptive-Field Convolutional Block Attention Module Convolution (RFCBAMConv) and the Receptive-Field Convolutional Block Attention Module C2f-RFCBAM, based on which we construct an efficient Perception Enhanced Feature Extraction Network (PEFNet) that enhances multi-scale feature extraction capability by dynamically adjusting the receptive field. …”
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