Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning by Mingyi Kuang, Fei Fu, Fangzhou Tian, Liwei Lin, Can Du, Yuesong Zhang

“…This study takes Panda Avenue Subway Station as a case study to analyze the evolution of land use patterns around subway stations and explore optimization strategies to enhance land development efficiency and spatial utilizationTo fill this research gap, this paper proposes a CNN-AIMatch model based on machine learning algorithm and an enhanced PLUS-Markov prediction model using the increase and decrease of floor area ratio as a control measure, which adopts an increase in plot ratio as a control measure to improve the accuracy of the Kappa coefficient in different plot ratio scenarios and the prediction of 3D urban spatial growth trends. …”
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The spatial-temporal probability assessment for slope instability based on uncertainty of machine learning-based prediction by Tai-feng Li, Xian-pu Xiao, Rong-hui Yan, Kang Xie, You-ming Zhao, Qian-li Zhang, Mao-qin Che

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Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…This paper presents an enhanced hybrid particle swarm optimization (EHPSO) algorithm that incorporates a spatial position encoding (SPE) strategy to optimize coverage while dynamically adjusting the number of sensors deployed in WSNs. …”
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Research of color models in digital graphics by Hetman Oksana, Shpetna Svitlana

“…The relevance of the research is determined by the rapid growth of digital graphics, where color models play a crucial role in ensuring high-quality visualization and accurate processing of graphic data. …”
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SPATIAL AND INDUSTRIAL APPROACH -THE BASIS FOR THE DEVELOPMENT OF INTEGRATED PROGRAMS OF SOCIO-ECONOMIC DEVELOPMENT OF RURAL TERRITORIES by A. V. Gladilin

“…Research results and their discussion. A block model of the spatial-sectoral approach and a step-by-step algorithm for its implementation in the regional socio-economic system are developed. …”
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A Space-Time Plume Algorithm to Represent and Compute Dynamic Places by Brent Dell, May Yuan

“…Point clustering analysis commonly assumes events occur in an empty space and therefore ignores geospatial features where events take place. This research introduces relational density, a novel concept redefining density as relative to the spatial structure of geospatial features rather than an absolute measure. …”
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A Big Data Approach for the Regional-Scale Spatial Pattern Analysis of Amazonian Palm Locations by Matthew J. Drouillard, Anthony R. Cummings

“…Here, we utilize remotely sensed imagery in conjunction with topography and soil attribute data and employ a generalized cluster identification algorithm, Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN), to study the underlying patterns of palms in two areas of Guyana, South America. …”
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Local Sub-Block Contrast and Spatial–Spectral Gradient Feature Fusion for Hyperspectral Anomaly Detection by Dong Zhao, Xingchen Xu, Mingtao You, Pattathal V. Arun, Zhe Zhao, Jiahong Ren, Li Wu, Huixin Zhou

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Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China by Shengli Zhu, Zhaowen Wang, Kai Qu, Jun Xu, Ji Zhang, Haiyi Yang, Wenxin Wang, Xiao Sui, Min Wei, Houfeng Liu

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Spatial–temporal evolution of economic-ecological benefits and their driving factors in Yellow River irrigation areas by Chang Liu, Enhui Jiang, Bo Qu, Lingqi Li, Lingang Hao, Wei Zhang

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Improving crop rotation classification using a random forest model incorporating spatial heterogeneity by Xiaomi Wang, Qi Tang, Kang Yang

“…The Boruta algorithm is employed to select the optimal feature subset within each subzone. …”
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A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework by Tingting Xiao, Yonggang Peng, Chunyu Chen

“…Burdens of increasing penetration of electric vehicles (EVs) on distribution systems have attracted wide attention to the research of EV charging coordination. Nevertheless, existing coordination lacks the joint consideration of the temporal-spatial flexibility of EVs, which could reduce load fluctuations when meeting the EV charging demands. …”
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A robust and accurate feature matching method for multi-modal geographic images spatial registration by Kai Ren, Weiwei Sun, Xiangchao Meng, Gang Yang, Jiangtao Peng, Binjie Chen, Jiancheng Li

“…While the current research has achieved satisfactory results for the registration of single mode data, there has always been a significant challenge in the registration of multi-modal images due to the obvious nonlinear radiation differences caused by different imaging mechanisms and imaging time. …”
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A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning by Yu Liu, Benjun Ma, Zhiliang Qin, Cheng Wang, Chao Guo, Siyu Yang, Jixiang Zhao, Yimeng Cai, Mingzhe Li

“…Additionally, when compared to single-dimensional spatial analysis, incorporating multi-spatial scale considerations yielded superior predictive performance.…”
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Review of Maglev Train Dynamics Research by WEN Yanfeng, ZHANG Weifeng, CAI Wenfeng, XU Hao

“…[Method] Based on UM (universal mechanism) dynamics simulation software, research findings on various aspects, including vehicle suspension parameters, suspension frame structures, multi-unit train dynamics, active suspension control algorithms, passive suspension fitting models, vehicle-track dynamics, train dynamics under crosswind loads, and bridge dynamic responses are summarized, and future research directions are prospected. …”
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A simple and efficient algorithm for genome‐wide homozygosity analysis in disease by Wei Liu, Jinhui Ding, Jesse Raphael Gibbs, Sue Jane Wang, John Hardy, Andrew Singleton

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Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review by Lise Safatly, Mario Bkassiny, Mohammed Al-Husseini, Ali El-Hajj

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Review of One-Stage Universal Object Detection Algorithms in Deep Learning by WANG Ning, ZHI Min

“…This paper introduces the network structure and research progress of various algorithms, summarizes their characteristics, advantages, and limitations based on their structures, summarizes the main common datasets and evaluation indicators in the field of object detection, analyzes the performance of various algorithms and their improvement methods, discusses the application status of various algorithms in different fields, and finally looks forward to the future research directions of one-stage object detection algorithms.…”
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Constructive algorithms for forming compound cubic Bezier curves in space and on plane by V. A. Korotkii

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A Location Prediction Algorithm for Mobile Communications Using Directional Antennas by Xiaofeng Lu, Pietro Lio, Pan Hui, Haifei Jin

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