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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Improvement of the "Slowness-Time Coherence" Method of Processing Borehole Acoustic Data Arrays by Sergii Lavreniuk, Yevhen Nazarenko, Daria Tulchynska, Petro Tulchynskyi

“…The study of borehole acoustic waves is an important stage in geophysical well research. The main acoustic parameters are P-wave velocity of compression, S-wave velocity of shear, L-wave velocity of Stoneley along the boundary between the rock and the well fluid. …”
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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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Optimization Management of Storage Location in Stereoscopic Warehouse by Integrating Genetic Algorithm and Particle Swarm Optimization Algorithm by Shuhong Zhang, Xianghui Zheng, Fan Xu, Suzhen Wang, Qixia Zhang, Yuan Cao

“…Therefore, further improvement is needed to optimize the management of storage locations. The main purpose of the research is to achieve better storage stability and improve storage and retrieval efficiency. …”
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The Value of Subclinical Carotid Atherosclerosis for Primary Prevention of Cardiovascular Diseases. Review of the Main International Studies by E. K. Butina, E. V. Bochkareva

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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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A Comprehensive Review of the Main Heavyweight and Lightweight SDLC for Big Data Analytics Systems (BDAS) by David Alejandro Montoya-Murillo, Sergio Galvan-Cruz, Manuel Mora, Estela Lizbeth Munoz Andrade

“…However, despite the advanced technological progress – i.e. on BDAS algorithms, languages and platforms-, their development has been mainly through uncomplete ad-hoc or old rigorous heavyweight System Development Life Cycles (SDLC). …”
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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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The Spatial and Dynamic Monitoring in Ensuring the Management of Energy Security of Enterprises by Budanov Mykola P.

“…This is an effective method of monitoring and control within the framework of ensuring the management of the energy security of the enterprise and the normal functioning of various energy objects and processes. The main directions of research and analysis of energy security on the basis of spatial-dynamic monitoring are allocated. …”
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AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP) by Elif Kartal, Fatma Önay Koçoğlu, Zeki Özen, İlkim Ecem Emre, Gürcan Güngör, Pervin Sutaş Bozkurt

“…Machine learning and its applications provide significant contributions to pain research. The aim of this study is to predict the POCP status of patients based on perioperative data by developing an “Intelligent POCP Prediction System (I-POCPP)” using the best performing machine learning algorithm. …”
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MODERN ALGORITHMS OF MICROBIOLOGICAL DIAGNOSTICS OF TUBERCULOSIS by Elina V. Sevastyanova, Larisa N. Chernousova

“…The article presents the comparative analysis of the microbiological diagnostics algorithm, developed and used in Central Tuberculosis Research Institute and the algorithm of laboratory diagnostics and monitoring of treatment of pulmonary tuberculosis and drug resistant tuberculosis based on modern rapid molecular techniques, developed by the experts of European Laboratory Initiatives jointly with Secretariat of Regional Office for Europe of World Health Organisation (WHO) for countries of the WHO European Region.It has been proved that despite some differences in these algorithms, the main principles on which they are based and approaches to diagnostics are similar. …”
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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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CMHT autonomous dataset: A multi-sensor dataset including radar and IR for autonomous drivingMacDrive by McMaster UniversityFederated Research Data Repository by Howard Zhang, Ash Liu, Saied Habibi, Martin v. Mohrenschildt, Ryan Ahmed

“…Standardized datasets are essential for the development and evaluation of autonomous driving algorithms. As the types of sensors available to researchers increase, datasets containing a variety of temporally and spatially aligned sensors have become increasingly valuable. …”
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Design and Research of Low-Cost and Self-Adaptive Terrestrial Laser Scanning for Indoor Measurement Based on Adaptive Indoor Measurement Scanning Strategy and Structural Characteri... by Zhongyue Zhang, Huixing Zhou, Shun Wang, Chongwen Xu, Yannan Lv

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