POI Data Fusion Method Based on Multi-Feature Matching and Optimization by Yue Wang, Cailin Li, Hongjun Zhang, Baoyun Guo, Xianlong Wei, Zhao Hai

“…Aiming at the problem of the low matching accuracy of geospatial entities under a single feature attribute, a geospatial entity matching method based on multi-feature value calculation is proposed. Firstly, when dealing with POI (point of interest) data, the similarity of POI data in terms of name, address, and distance is calculated by combining the improved hybrid similarity method, the Jaccard method, and the Euclidean metric method. …”
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Encrypted image retrieval in multi-key settings based on edge computing by Yingying LI, Jianfeng MA, Yinbin MIAO

Subjects: “…multi-key…”
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Surface Multi-Hazard Effects of Underground Coal Mining in Mountainous Regions by Xuwen Tian, Xin Yao, Zhenkai Zhou, Tao Tao

“…Taking a coal mine in southwestern China as a case study, a detailed catalog of the surface hazards in the study area was created based on multi-temporal satellite imagery interpretation and Unmanned aerial vehicle (UAV) surveys. …”
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Investigating electromagnetic forces in multi-winding transformers: A numerical analysis by Kamran Dawood

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Design strategies for urban and building adaptation in environmental multi-risk scenarios by Mario Losasso, Sara Verde

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Simulating quantum circuits using the multi-scale entanglement renormalization ansatz by A. V. Berezutskii, I. A. Luchnikov, A. K. Fedorov

“…Here, we propose a scalable technique for approximate simulations of intermediate-size quantum circuits on the basis of the multi-scale entanglement renormalization ansatz (MERA) and Riemannian optimization. …”
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Optimization Design of Multi Station Rotary Automatic Turning and Resetting Mechanism by Zhao Haiming, Zhang Linlin, Liao Xiaole

“…In order to realize the function of the working station automatic turning and resetting,the multi station rotary automatic turning and resetting mechanism which is powered by cylindrical cam is proposed. …”
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Intelligent Recommendation of Multi-Scale Response Strategies for Land Drought Events by Lei He, Yuheng Lei, Yizhuo Yang, Bin Liu, Yuxia Li, Youcai Zhao, Dan Tang

“…As a result, they overlooked the importance of spatio-temporal multi-scale strategies. This research proposes a multi-scale response strategy recommendation model for land drought events. …”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN OF ROADHEADER’S CUTTING HEAD BASED ON THE GA by ZHAO LiJuan, FAN JiaYi

“…In order to improve the dynamic reliability of the roadheader,the roadheader’s rigid-flexible coupled model was established based on virtual prototyp,dynamic reliability analysis was done on the rotary table of different structural parameters,evaluation function was established based on mechanical optimization design theory,the function’s design variables was half cone angle,helix Angle and cutting line spacing, the function’s objective function was the minimization of maximum equivalent stress as the objective function.The cutting head’s optimal structural parameters was obtained by genetic algorithm.Based on the cutting productivity and rotary table equivalent stress, the optimal yawing speed was obtained by optimized multi-objective.The results shows that after two optimizations,rotary table maximum stress is decreased 18.495 MPa,the fatigue life is improved from 3.067 E4 to 3.326 E6,productivity is improved 18.6 t/h,prediction error is less than 1.3%,meet the design requirement.This method provides data support for the structure and kinematic parameters of cutting head,provides a new method for the optimization design of heavy complicated mechanical equipment.…”
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Multi-query based key node mining algorithm for social networks by Guodong XIN, Tengwei ZHU, Junheng HUANG, Jiayang Wei, Runxuan Liu, Wei WANG

“…Mining key nodes in complex networks has been a hotly debated topic as it played an important role in solving real-world problems.However, the existing key node mining algorithms focused on finding key nodes from a global perspective.This approach became problematic for large-scale social networks due to the unacceptable storage and computing resource overhead and the inability to utilize known query node information.A key node mining algorithm based on multiple query nodes was proposed to address the issue of key suspect mining.In this method, the known suspects were treated as query nodes, and the local topology was extracted.By calculating the critical degree of non-query nodes in the local topology, nodes with higher critical degrees were selected for recommendation.Aiming to overcome the high computational complexity of key node mining and the difficulty of effectively utilizing known query node information in existing methods, a two-stage key node mining algorithm based on multi-query was proposed to integrate the local topology information and the global node aggregation feature information of multiple query nodes.It reduced the calculation range from global to local and quantified the criticality of related nodes.Specifically, the local topology of multiple query nodes was obtained using the random walk algorithm with restart strategy.An unsupervised graph neural network model was constructed based on the graphsage model to obtain the embedding vector of nodes.The model combined the unique characteristics of nodes with the aggregation characteristics of neighbors to generate the embedding vector, providing input for similarity calculations in the algorithm framework.Finally, the criticality of nodes in the local topology was measured based on their similarity to the features of the query nodes.Experimental results demonstrated that the proposed algorithm outperformed traditional key node mining algorithms in terms of time efficiency and result effectiveness.…”
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Multi-Condition Remaining Useful Life Prediction Based on Mixture of Encoders by Yang Liu, Bihe Xu, Yangli-ao Geng

“…Existing approaches to multi-condition RUL prediction often treat each working condition independently, failing to effectively exploit cross-condition knowledge. …”
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Wakeup strategy based on multi-objective optimization for fixed relay nodes by Xue-bin MA, Ai-li LI, Xiao-juan ZHANG

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Multi-sensor image fusion based on contrast and directional features optimization by Haiyan Jin, Meng Zhang, Zhaolin Xiao, Yaning Li

“…Multi-sensor image fusion is always an important and opening problem, which can enhance visual quality and benefit some social security applications. …”
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Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

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Multi-objective Optimization Design of Gearbox with Helical Cylindrical Gear Drive by Zhou Libin, An Xianghua, Chen Huanguo

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Understanding multi-scale ion-transport in solid-state lithium batteries by Wen Yu, Nanping Deng, Yang Feng, Xiaofan Feng, Hengying Xiang, Lu Gao, Bowen Cheng, Weimin Kang, Kai Zhang

Subjects: “…Multi-scale analysis…”
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“I will open my mouth in a parable”: “History” and “metaphor” in the Psalms by K. Jacobson

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Random finite sets based UPF-CPHD multi-object tracking by Hui-bin WANG, Zhe CHEN, Xin WANG, Yu MA

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MKER: multi-modal knowledge extraction and reasoning for future event prediction by Chenghang Lai, Shoumeng Qiu

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To Resist the Wave of Oblivion. The Continuing Multi-Volume Edition «The Great Victory» by A. V. Sereghin

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