Diagnosis Method of Blade Stall Based on Data Distribution for Wind Turbine by YIN Yefeng, ZHANG Jiayou, LOU Bin, CHEN Yanan

“…Initially, operating data under normal conditions are screened using the density-based spatial clustering of applications with noise (DBSCAN) algorithm. …”
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Spatial Orientation Relation Recognition for Water Surface Targets by Peiyong Gong, Kai Zheng, Yi Jiang, Huixuan Zhao, Xiao Liang, Zhiwen Feng, Wenbin Huang

“…We first developed the water surface target spatial orientation vector field (WST-SOVF) algorithm, a novel end-to-end methodology, to recognize these spatial orientation relations among WSTs in an image. …”
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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

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Enhancement over DBSCAN Satellite Spatial Data Clustering by Mohammad Subhi Al-Batah, Enas Rezeg Al-Kwaldeh, Mutaz Abdel Wahed, Mazen Alzyoud, Najah Al-Shanableh

“…One commonly used density-based clustering algorithm is DBSCAN (Density-Based Spatial Clustering of Applications with Noise). …”
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Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…The purpose of this research is to determine the best and most effective algorithm among the three competitive spatial domain algorithms, which are Least Significant Bit (LSB), Optimum Pixel Adjustment Procedure (OPAP), and Pixel Value Differencing (PVD) which in regard demonstrated the efficacy of spatial domain algorithms. …”
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Two Dimensional Position Correction Algorithm for High-Squint Synthetic Aperture Radar in Wavenumber Domain Algorithm by Shuai Wang, Chen Song, Bingnan Wang, Jie Chen, Lixia Yang, Zhixiang Huang

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Steganography based on parameters’ disturbance of spatial image transform by Xi SUN, Wei-ming ZHANG, Neng-hai YU, Yao WEI

“…In the research of state-of-the-art steganography algorithms,most of image sources were natural images in laboratory environment.However,with the rapid development of image process tools and applications,images after image processing were widely used in real world.How to use image process to improve steganography has not been systematically studied.Taking spatial image transform for consideration,a parameters’ disturbance model was presented,which could hide the noise taken by steganography in the pixel fluctuation due to the disturbance.Meanwhile,it would introduce cover source mismatch for a steganalyzer.The experimental results show that,compared with using traditional image database,it can significantly enhance the security of steganography algorithms and accommodative to the real world situation.…”
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Virtual acoustics: opportunities and limits of spatial sound reproduction by Michael VORLAENDER

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Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

“…For data analysis in the MATLAB, the software for automated evaluation of electromyographic and biomechanical motion patterns was developed. The algorithm allows one to calculate time, spatial and spatial-to-time parameters of motion, symmetry of movements of the left and right limbs, and also stability of repetition of biomechanical movement pattern. …”
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Research on the spatial layout of the elderly care industry based on explainable machine learning: A case study of Hangzhou(基于可解释性机器学习的养老产业空间布局研究)... by 曾笑奇(ZENG Xiaoqi), 赵秋皓(ZHAO Qiuhao), 冯友建(FENG Youjian)

“…∶The elderly care industry is significant for addressing the challenges of population aging. However, existing research has not sufficiently explored the factors influencing the spatial layout of elderly care facilities or how to optimally predict these layouts. …”
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A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling by Anboyu Guo, Qiyang Liu, Jiuke Wang, Yuanyong Gao, Lixin Wei, Xiaojiang Song, Chi Zhang, Kai Liu, Shuping Ma, Jiu Jiang

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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…Human activity recognition (HAR) systems are essential in healthcare, surveillance, and sports analytics, enabling automated movement analysis. This research presents a novel HAR system combining graph structures with deep neural networks to capture both spatial and temporal patterns in activities. …”
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Enhancing mass vaccination programs with queueing theory and spatial optimization by Sherrie Xie, Maria Rieders, Srisa Changolkar, Bhaswar B. Bhattacharya, Elvis W. Diaz, Michael Z. Levy, Michael Z. Levy, Ricardo Castillo-Neyra, Ricardo Castillo-Neyra

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Minimal and Simplified Analysis of Hierarchical Density-Based Spatial Clustering by Kayumov Abduaziz, Shukurillo Makhammadjonov, Ji Sun Shin

“…Hierarchical density based spatial clustering is a state-of-the-art clustering algorithm that is widely used by the research community for the analysis of spatial data. …”
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ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS by Alexander Igorevich Zhukov

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Cooperative integration of spatially resolved multi-omics data with COSMOS by Yuansheng Zhou, Xue Xiao, Lei Dong, Chen Tang, Guanghua Xiao, Lin Xu

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Spatial Regionalization of the Arctic Ocean Based on Ocean Physical Property by Joo-Eun Yoon, Jinku Park, Hyun-Cheol Kim

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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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Deconvolution of cell types and states in spatial multiomics utilizing TACIT by Khoa L. A. Huynh, Katarzyna M. Tyc, Bruno F. Matuck, Quinn T. Easter, Aditya Pratapa, Nikhil V. Kumar, Paola Pérez, Rachel J. Kulchar, Thomas J. F. Pranzatelli, Deiziane de Souza, Theresa M. Weaver, Xufeng Qu, Luiz Alberto Valente Soares Junior, Marisa Dolhnokoff, David E. Kleiner, Stephen M. Hewitt, Luiz Fernando Ferraz da Silva, Vanderson Geraldo Rocha, Blake M. Warner, Kevin M. Byrd, Jinze Liu

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Spatial-Temporal Correlative Fault Detection in Wireless Sensor Networks by Zhiping Kang, Honglin Yu, Qingyu Xiong, Haibo Hu

“…The proposed fault detection strategy is decentralized, coordinate-free, and node-based, and it uses time series analysis and spatial correlations in the collected data. Experiments using a real dataset from the Intel Berkeley Research Laboratory showed that the algorithm can give a high level of accuracy and a low false alarm rate when detecting faults even when there are many faulty sensors.…”
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