Energy consumption reduction method for green buildings based on human thermal discomfort posture recognition algorithm by Shijiu Song, Li Zhou

“…The aim of this study is to improve the accuracy of human thermal discomfort pose recognition algorithms. This study first extracts human key points on the ground of bone key points, then normalizes the data, and finally constructs a human thermal uncomfortable posture recognition algorithm on the ground of deep learning technology. …”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…Considering the energy storage access makes the construction cost increase slightly, but the operation cost is reduced significantly, and the total operation cost of the grid is reduced by more than 10%, and the computation process converges to the optimal value after 6 iterations in 2.4 s, which provides a more scientific and efficient decision-making support tool for the grid planning.…”
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Array Radar Three-Dimensional Forward-Looking Imaging Algorithm Based on Two-Dimensional Super-Resolution by Jinke Dai, Weijie Sun, Xinrui Jiang, Di Wu

“…In the proposed algorithm, a forward-looking planar array with scanning beams is considered, and each range-pulse cell in the received data is processed one by one using a 2D super-resolution method with the error function constructed according to the weighted least squares (WLS) criterion to generate a group of 2D spectra in the azimuth-pitch domain. …”
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Research on Space Targets Simulation Modulation Algorithm Combined Global–Local Multi-Spectral Radiation Features by Yu Zhang, Songzhou Yang, Zhipeng Wei, Jian Zhang, Bin Zhao, Dianwu Ren, Jingrui Sun, Lu Wang, Taiyang Ren, Dongpeng Yang, Guoyu Zhang

“…To solve the international problem of global–local radiation features simulation of multi-spectral space targets, this paper proposes a multi-spectral space target simulation modulation algorithm that can combine global–local spectral radiation features. …”
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To the solution of geoelectric problem on a direct current based on the global decomposition by N. A. Sevostianov, M. N. Yudin

“…The algorithm consists in iterative reconstruction of the decision from two basic elements — field of a point source in the layered (background) environment and solution in a local insertion. …”
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Accurate Paddy Rice Mapping Based on Phenology-Based Features and Object-Based Classification by Jiayi Zhang, Lixin Gao, Miao Liu, Yingying Dong, Chongwen Liu, Raffaele Casa, Stefano Pignatti, Wenjiang Huang, Zhenhai Li, Tingting Tian, Richa Hu

“…In this study, the rice backscattering intensity difference index from the vertically polarized backscatter intensity of Sentinel-1 and the phenology differential index from the spectral indices of two critical rice phenological phases of Sentinel-2 images were constructed. Other spectral features, including spectral indices, tasseled cap, and texture features, were computed using simple non-iterative clustering (SNIC) to achieve image segmentation. …”
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Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms? by Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper

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A modified two-term conjugate gradient-based projection algorithm for constrained nonlinear equations with applications by Yan Xia, Dandan Li, Songhua Wang

“…Numerical experiments demonstrate that, compared to similar algorithms, the proposed algorithm is efficient and competitive in terms of the number of iterations, the number of function evaluations, and the running time. …”
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MULTI-OBJECTIVE RELIABILITY OPTIMIZATION DESIGN OF PLANETARY GEAR TRANSMISSION BASED ON IMPROVED PARTICLE SWARM ALGORITHM by WANG ChunHua, GUO Yue, JIANG ZongShuai

“…The algorithm set the penalty function as a multi-level penalty function and the penalty coefficient could be adjusted with the iterative process. …”
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Multi-Station Agricultural Machinery Scheduling Based on Spatiotemporal Clustering and Learnable Multi-Objective Evolutionary Algorithm by Liruizhi Jia, Qinshuo Zhang, Shengquan Liu, Bo Kong, Yuan Liu

“…In terms of path planning, we design a learnable multi-objective evolutionary algorithm (LMOEA). First, a hybrid initialization strategy is used to enhance the initial population quality; second, a Q-learning-based local search method is constructed to adaptively adjust the search strategy to reduce ineffective iterations; finally, a dynamically adjusted crowding distance mechanism is introduced to improve the distribution of the solution set. …”
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Optimal Design of Multiband Microstrip Antennas by Self-Renewing Fitness Estimation of Particle Swarm Optimization Algorithm by Xiaohong Fan, Yubo Tian, Yi Zhao

“…In order to reduce the time of designing microstrip antenna, this paper proposes a self-renewing fitness estimation of particle swarm optimization algorithm (SFEPSO) to improve the design efficiency. …”
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Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

“…To tackle the issues of scattered distributed photovoltaic access points and unbalanced cluster partitioning scales, an iterative clustering partitioning method is proposed, a which integrates micro-evolution genetic algorithm and particle swarm optimization (mGA-PSO). …”
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Research on Enhanced Belief Propagation List Decoding Algorithm for Polar Codes in UAV Communications for 6G by Chuanji Zhu, Yuanzhi He, Zheng Dou

“…Simulation results show that under the conditions of a maximum of 60 iterations and 5 decoders, the proposed algorithm reduces the bit error rate by 16.2–74.9% compared to the classic BPL algorithm, providing strong technical support for the application of polar codes in scenarios such as UAV communications.…”
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Multiobjective Reactive Power Optimization Planning for Medium Voltage Distribution Networks Based on Improved Genetic Algorithm by Min Li, Juncheng Zhang, Jing Tan, Xiaohong Tan, Lingjie Tang

“…By combining the advantages of the standard genetic algorithm and simulated annealing algorithm, an improved genetic algorithm is formed to effectively solve the constructed mathematical model. …”
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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city by Xuechun Zhou, Xiaofei Zou, Wenzuixiong Xiong

“…Adopting a healthy city development perspective, the research aims to assess the impact of green space optimization on urban health, economic performance, and social structure.MethodsA multivariable model was constructed using random forest and Support Vector Machine (SVM) algorithms to evaluate the influence of key indicators on urban green space. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Future research should focus on enhancing sampling efficiency in matrix-vector products along MCGMRES iterations and implementing the RSVD algorithm on big data analysis platforms.…”
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An Efficient Path Planning Algorithm Based on Delaunay Triangular NavMesh for Off-Road Vehicle Navigation by Ting Tian, Huijing Wu, Haitao Wei, Fang Wu, Jiandong Shang

“…Considering that the improved road-off path planning A* algorithm could identify a chain of path triangles for calculating the shortest path, the funnel algorithm was then introduced to transform the path planning problem into a dynamic geometric problem, iteratively approximating the optimal path by maintaining an evolving funnel region, obtaining a shortest path closer to the Euclidean shortest path. …”
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Virtual Simulation Management of Data Traffic Optimization of Big Data Cloud Platform considering Multipoint Mapping Algorithm by Haibo Wu

“…In view of these needs and limitations, this paper introduces the multipoint mapping algorithm, combs the statistical methods of platform cloud traffic, carries out platform data traffic by classification, constructs the data traffic optimization management model, analyzes the relevant data samples, carries out statistical calculation for data diversion tasks, analyzes and processes the priority indicators, and forms the final results through continuous iteration, realizing the management of data flow optimization virtual simulation of big data cloud platform. …”
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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

“…Thirdly, the K-SVD dictionary learning algorithm is used in the cloud to obtain a suitable sparse transformation base, and the greedy algorithm based on regular orthogonal matching tracking is used to realize data reconstruction, which has low computational complexity and fast iteration speed to ensure the timeliness of data transmission. …”
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Model of a Parallel-Pipeline Computational Process for Solving a System of Grid Equations by V. N. Litvinov, N. B. Rudenko, N. N. Gracheva

“…For these purposes, it is proposed to use models of the computing system and decomposition of the computational domain to develop an algorithm for parallel-pipeline calculations. The research objective was to create a model of a parallel-conveyor computational process for solving a system of grid equations by a modified alternating-triangular iterative method using the decomposition of a three-dimensional uniform computational grid that takes into account technical characteristics of the equipment used for calculations.Materials and Methods. …”
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