Content-based medical image retrieval by spatial matching of visual words by P. Shamna, V.K. Govindan, K.A. Abdul Nazeer

“…This paper proposes an unsupervised Content-Based Medical Image Retrieval (CBMIR) framework based on the spatial matching of the visual words. …”
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Assessment of the spatial and temporal heterogeneity of available phosphorus content in arable soil on the scale of one field (using the example of the Republic of Tatarstan, Russia) by Sakhabiev Ilnas, Giniyatullin Kamil, Smirnova Elena

“…It was found that available phosphorus at very high content has high and close to very high spatial variability (coefficient of variation = 25-32%). …”
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Interface design and interaction optimization for spatial computing 3D content creation and immersive environment generation using Apple Vision Pro by Jie Fu, Mick Grierson, Renpeng Jiang, Shun Fu, Mengzhi He, Muhan Xu

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Identification of Application Areas of the Steganalytic Approach Based on the Analysis of Spatial Domain of Digital Contents by Akhmamet’eva A.V.

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CAS-SFCM: Content-Aware Image Smoothing Based on Fuzzy Clustering with Spatial Information by Felipe Antunes-Santos, Carlos Lopez-Molina, Maite Mendioroz, Bernard De Baets

“…Our proposal capitalizes on the strengths of soft clustering to produce content-aware smoothing and allows for the direct configuration of the most relevant parameters for the task: the number of distinctive regions in the image and the relative relevance of spatial and tonal information in the smoothing. …”
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Predicting high-quality ecologically suitable areas of Astragalus mongholicus Bunge based on secondary metabolites content using Biomod2 model by Jingyi Zhou, Xiaoting Zhang, Tongtong Huo, Huizhong Xu, Fanyun Meng, Ning Xu, Cheng Peng

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The sustainable management of overtourism via user content by Concepción Foronda-Robles, Luis Galindo-Pérez-de-Azpillaga, Pablo Armario-Pérez

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User Preferences of Airbnb Accommodation Spatially in The Special Region of Yogyakarta, Indonesia by Azis Musthofa, Arief Wicaksono, Raden Rijanta

“…Airbnb data consist of spatial and non-spatial data. For non-spatial Airbnb data, content analysis was used to explain the preferences of Airbnb accommodation users through reviews. …”
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THE USE OF SPATIAL MODELING TO TEACH ENGINEERING GRAPHICS by DÎNTU, Sergiu, ȘULETEA, Angela, BOTEZ, Alexei, JANDÎC, Tudor

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Immersive Spatial Computing: How Technology Can Improve Science Content Reading and Vocabulary in Elementary Schools by Leonard Annetta, Ashley Johnson, Mark H. Newton, Yvonne Franco

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Spatial information analysis of characteristics of soil trace element contents in high incidence areas of birth defects by ZHANG Zhuo-dong, ZHANG Ke-li, WU Ji-lei, ZHANG Ting, ZHENG Xiao-ying

“…The contents of V, Se, Mo, As, Mg, Na elements had considerable spatial correlation with the incidence of birth defects. …”
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Spatial Shape-Aware Network for Elongated Target Detection by Shaowen Xu, Der-Horng Lee

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Evaluation of urban air pollution by metal contents of woody vegetation leaves in the urban ecosystem by Zunara Ali, Khawar Sultan, Qamar uz Zaman

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The Impact of Climate Change on the Content and Spatial Distribution of the Total Dissolved Solids in Bandar-e-Gaz Coastal Aquifer by Mohammad Mehdi Ansarifar, Meysam Salarijazi, Khalil Ghorbani, Abdolreza Kaboli

“…The MODFLOW and MT3DMS groundwater models in the form of an integrated model were used to simulate the groundwater level and content and spatial distribution of total dissolved solids. …”
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Cross-Correlation of Soil Moisture and Stone Content and Their Spatial Pattern Across the Different Slope Aspects and Soil Depth by Hailu Kendie Addis, Baye Ayalew, Muuz Gebretsadik, Atikilt Abera, Legese Abebaw Getu, Amsalu K. Addis

“…The spatial interrelationship between aspect, soil depth, topsoil moisture, and stone content was analyzed using the R and GS+ software. …”
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Prediction of soil heavy metal content under spatial scale based on Bayesian maximum entropy and auxiliary information by FEI Xufeng, REN Zhouqiao, LOU Zhaohan, XIAO Rui, LÜ Xiaonan

“…Selecting Hangzhou City as a case study, the spatial distribution of heavy metals was predicted by Bayesian maximum entropy (BME) method using the soil parent material as auxiliary information, and the estimation accuracy was compared with the traditional Kriging technique. …”
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Identifying optimized spectral and spatial features of UAV-based RGB and multispectral images to improve potato nitrogen content estimation by Hang Yin, Haibo Yang, Yuncai Hu, Fei Li, Kang Yu

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Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data by Weihao Yang, Ruofan Zhen, Fanyue Meng, Xiaohang Yang, Miao Lu, Yingqiang Song

“…The accurate prediction of the spatial variability for soil water content (SWC) in farmland is essential for water resource management and sustainable agricultural development. …”
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DEAD FUEL MOISTURE CONTENT ESTIMATION USING REMOTE SENSING by Konstantinos ZORMPAS, Christos VASILAKOS, Nikos ATHANASIS, Nikos SOULAKELLIS, Kostas KALABOKIDIS

“…The validation with new data confirmed that the top of atmosphere brightness temperature retrieved from Landsat 8, can be used as an input to estimate the spatial distribution of DFMC. …”
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Temporal and Spatial Analysis of the Impact of the 2015 St. Patrick’s Day Geomagnetic Storm on Ionospheric TEC Gradients and GNSS Positioning in China Using GIX and ROTI Indices by Zhihao Fu, Ningbo Wang, Xuhui Shen, Ang Li

“…We applied two indices—the Gradient Ionosphere Index (GIX), representing spatial gradients of vertical total electron content (VTEC), and the Rate of TEC Index (ROTI), describing temporal TEC variations. …”
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