IGWO-MSVR model for predicting stress in coal seam during drilling process by Jian Tan, Yanfeng Geng, Liangke Xu

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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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Navigating Pregnancy Testing in Chronic Pain Management for Women of Reproductive Age by Tamura S, Vardhan S, Breidenbach K, Shaparin N, Vydyanathan A, Gritsenko K

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ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS by Alexander Igorevich Zhukov

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Spatial Analysis of Bioclimatic Vulnerability of Kermanshah Facing Heat Wave by Hossein Yavari, Mstafa Karampour, Dariush Yarahmadi

“…The city of Kermanshah with a population of 946,651 people in 2017 is the largest city of Kermanshah province and the second most populous western city of the country after Tabriz and the ninth most populous city of Iran after Tehran, Mashhad, Isfahan, Tabriz, Karaj, Shiraz, Ahvaz and Qom. 0.48 percent of the total populations of the Kermanshah province live in the Kermanshah city (census of 2017). The main objective of this research is to investigate the vulnerability of Kermanshah city in the face of heat waves as one of the emerging climatic hazards. 2-Materials and Methods Two types of data were used in this study. …”
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SIGNAL MODEL FOR SPATIAL POSITION SENSORS IN MAGNETIC TRACKING SYSTEMS by Roman Holyaka, Tetyana Marusenkova, Dmytro Fedasyuk

“…The subject of research is the process of forming signals in magnetic tracking systems including those used for spatial position calculation within the concepts of Industry 4.0 and Industrial Internet of Things. …”
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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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Urgent Conservation Actions Are Needed for Qinling Lenok Brachymystax lenok tsinlingensis Li, 1966: Enlightenment From Model Simulations by Yuebing Zhou, Xianghong Dong, Tao Ju, Lei Gan, Zhenlu Wang, Yuxi Lian, Peng Zhang, Xiongfeng Bai, Qing Liu, Shuhai Zhang, Jiyuan Liu, Tao Xiang, Lei Shi, Haibo Jiang, Jian Shao, Miao An

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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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Linear bifurcation analysis with applications to relative socio-spatial dynamics by M. Sonis

“…Further, a newly developed class of the discrete relative m-population/n-location Socio-Spatial dynamics is described. The proposed algorithm of linear bifurcation analyses is used for the detail analysis of the log–log-linear model of the one population/three location discrete relative dynamics.…”
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Monitoring of transformation of settlement spatial network in the arid zone of Uzbekistan by L. X. Gulyamova

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Evaluation of the ecological niche model approach in spatial conservation prioritization. by Fumiko Ishihama, Akio Takenaka, Hiroyuki Yokomizo, Taku Kadoya

“…Ecological niche models (ENMs) are widely used in spatial prioritization for biodiversity conservation (e.g. selecting conservation areas). …”
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Development of a neural network model for spatial data analysis by E. O. Yamashkina, S. A. Yamashkin, O. V. Platonova, S. M. Kovalenko

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The Spatial Dimming Scheme for the MU-MIMO-OFDM VLC System by Zhen Feng, Caili Guo, Zabih Ghassemlooy, Yang Yang

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Vehicle spatial and time trajectory filling based on dynamic road network by Ruojian Li, Hongsheng Qi

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Application of Collective Intelligence of Artificial Bee Colony Algorithm in Optimization of Estimation and Zoning of Wind Erosion Intensity Using Geomorphological data (Case Study... by Mehdi Saghafi, Moohamadali Moodaresi

“…Finally using multivariable statistical methods, the centers and spatial pattern of zones which were obtained by both models were compered. 3- Results and Discussion About 47% of the area of wind erosion classes in IRIFR model moved to higher erosion classes in bee colony algorithm. …”
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