Group k- Nearest Neighbor Query Method for Uncertainty Data in Obstructed Spaces by WAN Jing, TANG Bei-bei, SUN Jian, HE Yun-bin, LI Song

“…To deal with the problem of group k nearest neighbor query method for uncertainty data in obstructed spaces, this paper presents the method of the PkOGNN（probabilistic k obstructed group nearest neighbor）query .The PkOGNN query method mainly includes four sub-algorithms: Compadist_o()，SpatialPru()，PruInterEnt() and PkOGNN(), These algorithms are respectively the calculation of the aggregate obstructed distance, the spatial pruning method, the pruning of the R-tree intermediate items according to the spatial pruning method, the final refined query method. …”
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Holographic tomographic volumetric additive manufacturing by Maria Isabel Álvarez-Castaño, Andreas Gejl Madsen, Jorge Madrid-Wolff, Viola Sgarminato, Antoine Boniface, Jesper Glückstad, Christophe Moser

“…Abstract Several 3D light-based printing technologies have been developed that rely on the photopolymerization of liquid resins. …”
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Propagation-Based Train Rescheduling under Recoverable Delay Disturbances by Jun Zhang, Shuyao Wu, Shejun Deng, Yuling Ye

“…By inputting the scheduled arrival and departure time under different conflict resolution strategies, the timetable optimizing model aims to look for an optimal solution with minimal weighted train delay and average train adjustments under necessary technical and empirical constraints solved by a combined algorithm of Pareto optimality and Nash equilibrium, where the feasible solution space is narrowed in advance by a depth-first pruning algorithm. …”
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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

“…We also propose a pruning search, which further reduces the number of paths to be searched. …”
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Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…In response to the problems of poor mechanical properties and difficulty in selecting process parameters for fused deposition modeling (FDM), this paper analyzed the principle of FDM and proposed a parameter optimization method based on a Kriging and Cuckoo Search (CS) algorithm aimed at improving the mechanical properties of 3D printed polylactic acid (PLA) parts. …”
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DESIGNING THE CONTENT OF VOCATIONAL EDUCATION BY ANALYZING THE PROFESSIONAL WORK OF THE FUTURE EXPERT by Leonid B. Ershteyn

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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…According to the operational process of the algorithm given by this paper, a series of experiments are designed to validate the algorithm’s effectiveness. …”
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Information extraction from massive Web pages based on node property and text content by Hai-yan WANG, Pan CAO

“…To address the problem of extracting valuable information from massive Web pages in big data environments,a novel information extraction method based on node property and text content for massive Web pages was put forward.Web pages were converted into a document object model (DOM) tree,and a pruning and fusion algorithm was introduced to simplify the DOM tree.For each node in the DOM tree,both density property and vision property was defined and Web pages were pretreated based on these property values.A MapReduce framework was employed to realize parallel information extraction from massive Web pages.Simulation and experimental results demonstrate that the proposed extraction method can not only achieve better performance but also have higher scalability compared with other methods.…”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…In addition, this paper also adopts the amplitude-based layer adaptive sparse pruning algorithm (LAMP) to further compress the model size while maintaining efficient detection performance. …”
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Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping by Jiaohui Yu

“…To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. …”
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A multi-layer Internet of things database schema for online-to-offline systems by Hongming Cai, Shuai Luan, Lihong Jiang, Nazaraf Shah, Ray Farmer, Kuo-Ming Chao, Boyi Xu

“…Second, a searching algorithm is designed based on pruning strategy. The complexity of the algorithm is also analyzed. …”
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Accelerating and Compressing Transformer-Based PLMs for Enhanced Comprehension of Computer Terminology by Jian Peng, Kai Zhong

“…Our method involves a pipeline parallelism algorithm designed to accelerate training. It is paired with an innovative mixed compression strategy that combines pruning and knowledge distillation to effectively reduce the model size while preserving its performance. …”
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I-YOLOv11n: A Lightweight and Efficient Small Target Detection Framework for UAV Aerial Images by Yukai Ma, Caiping Xi, Ting Ma, Han Sun, Huiyang Lu, Xiang Xu, Chen Xu

“…However, existing detection algorithms still have weak small target representation ability, extensive computational resource overhead, and poor deployment adaptability. …”
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Intelligent building construction site safety inspection model based on YOLOX by Hairong Huang, Lian Yuan, Huiji Wang, Haoran Yuan

“…Therefore, the study introduces an improved YOLOX algorithm and performs lightweight processing such as replacing the backbone network and pruning channels. …”
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Enhancing SR-Tree for Nearest Neighbor Search by Kayumov Abduaziz, Shincheol Lee, Ji Sun Shin

“…First, we improve SR-Tree using a variance-based bulk-loading algorithm to build an efficient tree structure. Second, we apply the approximation of the smallest enclosing ball and leaf-level pruning methods to improve performance of kNN queries. …”
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An Equipment Identification Method Based on Lightweight CenterNet from Multivariate Features Fusion for Distribution Area by WANG Wenbin, FAN Ruixiang, DENG Zhixiang, WAN Junbiao, PAN Jianbing

“…Considering the lack of computing power of embedded devices, the CenterNet algorithm adopts a variety of lightweight processing, including reducing the size of input data, optimizing the network structure and reasoning structure, pruning and other operations, so that the data detection speed is increased from 1720 ms to 322 ms, which can achieve the goal of real-time processing on the premise of meeting the accuracy requirements and provides an effective means for the subsequent design and optimization of the distribution station area.…”
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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…Finally, we employ the LAMP pruning algorithm to compress the model. Experimental results on the Anti-UAV dataset show that the improved model achieves a 2.9% increase in Precision, a 6.8% increase in Recall, and 3.9% and 3.8% improvements in mAP50 and mAP50-95, respectively. …”
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Tool wear monitoring method based on AMIDBOAB and imbalanced data optimization by Guan-Hua Xu, Hong-Yu Wu, Bo Tang, Jun-Long Xu

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A personalized query method for spatial keywords in indoor environments by Liping Zhang, Chunhong Li, Song Li

“…Subsequently, an efficient pruning algorithm based on the ISKIR-tree index is proposed to refine the dataset effectively. …”
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On improvements of multi-objective branch and bound by Julius Bauß, Sophie N. Parragh, Michael Stiglmayr

“…Since bounding and pruning is considerably weaker in multiple objectives, many branches have to be (partially) searched and may not be pruned directly. …”
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