Spatial vector cardiography: From origins to the present day. A review by Valentin E. Oleynikov, Angelina A. Chernova

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Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…Spatial features excel in spatially contextualised data like urban planning and object detection, capturing adjacent pixel relationships. …”
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Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations by Ruiheng Li, Lu Gan, Yi Di, Hao Tian, Qiankun Zuo, Yiming Luo, Xuan Wu, Haiyang Wang

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Optimization of Reservoir Operation using a Bioinspired Metaheuristic Based on the COVID-19 Propagation Model by Alireza Donyaii, Amirpouya Sarraf

“…Recently, global warming problems with rapid population growth and socio-economic development have intensified the demand for water and increased tensions on water supplies. This research evolves the Multi-Objective Coronavirus Optimization Algorithm (MOCVOA) to obtain operational optimum rules of Voshmgir Dam reservoir under the climate change conditions. …”
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Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network by Qiuhui Wang, Qiong Ran, Ke Zheng, Jiaxin Li

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A weighted and distributed algorithm for multi-hop localization by Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Jose David Diaz-Roman, Boris Mederos-Madrazo, Ernesto Sifuentes

“…The hop-weighted localization approach generates spatial locations around position estimates of unknown sensors and computes local functions that minimize distance errors among hop-weighted and static neighboring sensors. …”
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Creating the First Autonomous Systems of Internet in Siberia as a Spatial Diffusion of Innovations by Viktor Ivanovich Blanutsa

“…Therefore, the purpose of our research was to identify the spatial and temporal features of the first autonomous systems’ creation in Siberia using a specially developed algorithm for machine generation of rules and meta-rules. …”
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A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation by Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu

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Estimation of partially linear single-index spatial autoregressive model using B-splines by Lei Liu, Jun Dai

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MODERN ALGORITHMS AND SOFTWARE FOR INTERPRETATION OF RESISTIVITY LOGGING DATA by M. I. Epov, V. N. Glinskikh, M. N. Nikitenko, A. A. Lapkovskaya, A. R. Leonenko, A. M. Petrov, K. V. Sukhorukova, D. I. Gornostalev

“…Another line of our research was aimed at a scientific substantiation of a new technology for mapping and spatial tracking of lateral heterogeneities and oil-promising zones in the Bazhenov Formation. …”
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Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data by Thong Nguyen Hoang, Van Tran Thi

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A novel variable neighborhood search approach for cell clustering for spatial transcriptomics by Aleksandra Djordjevic, Junhua Li, Shuangsang Fang, Lei Cao, Marija Ivanovic

“…Notably, our method extends beyond conventional cell-type clustering to spatial domain clustering. This adaptability enables our algorithm to orchestrate clusters based on information gleaned from gene expression matrices and spatial coordinates. …”
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Chromaticity-Adaptive Generalized Spatial Modulation for MIMO VLC With Multi-Color LEDs by Ye Xiao, Yi-Jun Zhu

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Functional Data Clustering Based on Weighted Functional Spatial Ranks With Clinical Applications by Mohammed Baragilly, Hend Gabr, Brian H. Willis

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A privacy-preserving scheme supporting efficient task assignment in spatial crowdsourcing by Li Weijia, Li Junyi, Gong Zhimao, Tan Xiangjie

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An Algorithm to Develop a Satellite‐Based Atmospheric River Database by Tianying Liu, Shineng Hu

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Spatial synchronization of river floods growing beyond the basin boundaries in Peninsular India by Kanneganti Bhargav Kumar, Shailza Sharma, Rajarshi Das Bhowmik, P. P. Mujumdar

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Impacts of Spatial and Temporal Resolution on Remotely Sensed Corn and Soybean Emergence Detection by Feng Gao, Martha Anderson, Rasmus Houborg

“…This paper assesses corn and soybean emergence detection using various remote sensing datasets (i.e., VENµS, Planet Fusion, Sentinel-2, Landsat, and Harmonized Landsat and Sentinel-2 (HLS)) with diverse spatial and temporal resolutions. The green-up dates from the remote sensing time series are detected using the within-season emergence (WISE) algorithm and assessed using ground emergence observations and planting records of corn, soybeans, and alfalfa from the Beltsville Agricultural Research Center (BARC) fields in Maryland, USA, from 2019 to 2023. …”
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A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals by Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña, Diego Casado-Mansilla, Felipe Vergara-Borge

“…This work addresses the task allocation problem in spatial crowdsensing with altruistic participation, tackling challenges like declining engagement and user fatigue from task overload. …”
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Analysis of Spatial and Temporal Shoreline Changes and Reclamation in the Qinzhou Bay and the Manila Bay by Zhang Wenliang, Guo Junli, Liu Zhuocheng, Shi Lianqiang, Gong Zhaohui, Zhang Daheng

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