Design of a Support System for Complicated Logistics Location Integrating Big Data by Yusi Cheng, Xinwei Pan

“…Second, a two-stage location model for a ULS was designed to balance the construction costs and traffic congestion. The first stage is establishing a set-covering model to identify optimum locations for secondary hubs based on the ant colony optimization algorithm, and the second stage is clustering of the secondary hubs to determine locations for primary hubs using the iterative self-organizing data analysis technique algorithm (ISODATA). …”
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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

“…The method employs digital elevation model (DEM) input data to construct a three-stage hierarchical framework comprising (1) terrain skeleton extraction through a morphological erosion algorithm, (2) topological relationship iteration optimization, and (3) multisource parameter coupling constraints. …”
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Evaluation of Pore-Type Carbonate Reservoir Connectivity Based on Electrical Imaging by SUN Jianmeng, CHENG Yaodong, HE Juan, LIU Zhang, CHEN Peiyuan

“…Taking the pore-type carbonate reservoir of FQ-1 well M group MB21 suboil group in B oilfield in southeast Iraq as an example, based on the high-resolution dynamic image of formation microscanner image (FMI) logging, the maximum inter-class variance algorithm (OTSU) is used for the second iteration segmentation to identify the pores, and then the connected pores are labeled according to the 8-connected component labeling method. …”
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A novel multiscale feature enhancement network using learnable density map for red clustered pepper yield estimation by Chenming Cheng, Chenming Cheng, Jin Lei, Jin Lei, Zicui Zhu, Lijian Lu, Lijian Lu, Zhi Wang, Zhi Wang, Jiali Tao, Jiali Tao, Xinyan Qin, Xinyan Qin

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Efficient collision-avoidance navigation strategy for autonomous surface vehicles in unstructured and constricted marine environments by Wenlong Meng, Rongdian Ku, Yanbo Pu, Xiaoxiao Shi, Ya Gong

“…The results highlight the algorithm’s distinct advantages across multiple dimensions such as path construction success, computational efficiency, and trajectory refinement quality, thereby underscoring its potential to advance autonomous navigation in challenging maritime settings.…”
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Multi-Energy Optimal Dispatching of Port Microgrids Taking into Account the Uncertainty of Photovoltaic Power by Xiaoyong Wang, Xing Wei, Hanqing Zhang, Bailiang Liu, Yanmin Wang

“…Firstly, based on the improved Iterative Self-organizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm and backward reduction method, a set of typical scenarios that represent the uncertainties of PV and load is generated. …”
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Study on Dust Distribution Law in Open-Pit Coal Mines Based on Depth Variation by Dongmei Tian, Xiyao Wu, Jian Yao, Weiyu Qu, Jimao Shi, Kaishuo Yang, Jiayun Wang

“…The research team developed a three-dimensional geological model updating algorithm with depth gradient as the characteristic parameter, enabling dynamic monitoring of mining depth with a model iteration accuracy of 0.5 m per update. …”
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Truncated Modular Exponentiation Operators: A Strategy for Quantum Factoring by Robert L. Singleton Jr

“…These operators are often referred to as the bottleneck of the algorithm. I propose a method for constructing the ME operators that requires only $3n + 1$ qubits with no ancillary qubits. …”
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Multi-Energy Microgrid Data-Driven Distributionally Robust Optimization Dispatch Considering Uncertainty Correlation by LI Jiawei, SUN Qinghe, WANG Qiong, YE Yujian, HU Heng, ZHANG Xi

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Wide-Area Active Frequency Control with Multi-Step-Size MPC by Yan Xie, Shiying Ma, Jiakai Shen, Xiaojun Tang, Jianmiao Ren, Liwen Zheng

“…Through multi-step-size discretization, an improved model predictive control algorithm for AFC is derived based on the iterative solution of the multi-step-size linear quadratic regulator model, which ensures control accuracy through precise prediction and enhances the control performance through additional prediction. …”
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RESTORATION OF ELEMENTS IN THE FACADE DECOR OF MONUMENTS IN ARCHITECTURE by Vladyslav Neshchadym

“…Such information is obtained as a result of iterative laser scanning of the reproduced relief surface from certain points according to a special algorithm that sets the trajectory of the laser beam and the point fixation mode. …”
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Vehicle Trajectory Reconstruction Method for Urban Arterial Roads Based on Multi-Source Data Fusion by Zhanhang Shi, Dong Guo, Lili Bian, Yvbin Liu, Bin Zhou, Feng Sun

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Singular Points of Curves by Artem D. Uvarov

“…The advantages and disadvantages of these approaches are revealed. The iterative algorithms for finding a point on the line of tangency are described. …”
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Optimization of load-bearing parameters for anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures. by Jun Zhao, Libo Wang, Tengye Ma

“…As the global construction industry develops, prefabricated buildings are gradually emerging and widely used. …”
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Research on Cognitive Radio Non-orthogonal Multiple Access System in 5G Communications Oriented to Ubiquitous Power Internet of Things by Rui SHE, Ningchi ZHANG, Yanru WANG, Dandan GUO, Wenjie MA, Hui LIU, Jie ZHANG

“…The closed expressions of spectrum access probability and throughput are derived; in order to further increase the accuracy of the classification results, an improved K-means algorithm is proposed. The alternate iterative algorithm is implemented to jointly optimize the detection time, node power and the number of user clusters such that the system throughput can be maximized eventually. …”
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OPTIMIZATION OF TOPOLOGICAL STRUCTURES OF CENTRALIZED LOGISTICS NETWORKS IN THE PROCESS OF REENGINEERING by Vladimir Beskorovainyi, Antonii Sudik

“…The accuracy of the evolutionary method based on a genetic algorithm can be increased by increasing the number of iterations. …”
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Multi-field coupling model and evolution mechanism of thermal cracking in early-age mass concrete based on phase-field method by Wenqiang Xu, Sheng Qiang, Hui Wang, Ziang Zhao

“…The model is solved using an incremental iterative algorithm, and its accuracy is validated through classical benchmark cases. …”
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Risk Limiting Based Resilient Operation Method for Power Grid by Xiyue WANG, Hao ZHANG, Chaoyi PENG

“…By deriving three intermediate state models of RLB and their analytical solutions, we present an iterative RLB solution algorithm based on intermediate state models and provide a rigorous proof of its global optimality. …”
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Rolling optimization method of virtual power plant demand response based on Bayesian Stackelberg game by Binxi Huang

“…The two optimization objective functions, maximizing the supply-side income and minimizing the demand-side electricity purchase cost of virtual power plant, are transformed into maximizing the profit of power transaction for the virtual power plant. This is iteratively solved using the whale algorithm to determine the optimal power generation distribution scheme for each unit on both the supply side and demand sides. …”
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A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

“…Predictions using the neural network method were more accurate, with a relative error of less than 10% compared to measured values. 2） Using Kendall's tau-b correlation analysis, the discrete dominant factor was identified as the microstructural position, primarily located in uplifted positive structural zones, with the secondary factor being fracture development, categorized mainly as “well-developed” or “developed.” 3） By combining lasso regression-random forest- decision tree algorithm to iteratively eliminate irrelevant factors, the continuous dominant factors influencing productivity were ranked in descending order as: ash content, average construction discharge rate, total sand volume pumped, flowback rate at gas breakthrough, net pay thickness, acoustic travel time, gamma ray log value, average construction pressure, percentage of 100-mesh sand, and average gas measurement value. …”
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