A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

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CTDA: an accurate and efficient cherry tomato detection algorithm in complex environments by Zhi Liang, Caihong Zhang, Zhonglong Lin, Guoqiang Wang, Xiaojuan Li, Xiangjun Zou

“…By using softpool to replace maxpool in SPPF, a new SPPFS is constructed, achieving efficient feature utilization and richer multi-scale feature fusion. Additionally, by incorporating a dynamic head driven by the attention mechanism, the recognition precision of cherry tomatoes in complex scenarios is enhanced through more effective feature capture across different scales.ResultsCTDA demonstrates good adaptability and robustness in complex scenarios. …”
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Beyond Granularity: Enhancing Continuous Sign Language Recognition with Granularity-Aware Feature Fusion and Attention Optimization by Yao Du, Taiying Peng, Xiaohui Hu

“…Specifically, we extract CNN feature maps with varying receptive fields and employ a self-attention mechanism to fuse feature maps of different granularities, thereby obtaining multi-scale spatial features of the sign language framework. …”
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Breaking Spatial Constraints: A Dimensional Perspective-Based Analysis of the Eco-Efficiency of Cultivated Land Use and Its Spatial Association Network by Xingjia Wang, Dongyan Wang

“…The quantitative system of multi-scale ECLU used in existing studies is inadequate; it is necessary to establish a measurement system from the perspective of geographical spatial relationship that uses evaluation as a key basis for management. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…We conclude by offering recommendations for future research, including advancing EMD theory and enhancing techniques for analyzing hydrological variability at multi-temporal and multi-spatial scales under changing environmental conditions.…”
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Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds by Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng

“…Redesign the network downsampling structure, adding spatial attention module and multi-scale adaptive fusion module. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…With 70% random samples used for drawing and 30% random samples used for checking, LCZ maps that meet the requirements of classification accuracy are obtained and analyzed for site identification at the local scale. The LCZ maps are then superimposed on the high temperature disaster risk map to identify the local-scale characteristics of high temperature disaster risk, analyze the degree of high temperature disaster risk for each LCZ type and the differences in high temperature disaster risk between different LCZ types, and explore the reasons for such differences. …”
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Spatial Shape-Aware Network for Elongated Target Detection by Shaowen Xu, Der-Horng Lee

“…In remote sensing detection, targets often exhibit unique characteristics such as elongated shapes, multi-directional rotations, and significant scale variations. …”
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Study on interaction mechanism between natural convection and forced convection during storage and temperature rise of waxy crude oil tank by Wei Sun, Yuduo Liu, Wenhua Xu, Lihui Kan, Hongfei Liu, Lixin Zhao, Zhihua Wang

“…Dimensionless parameters including Reynolds number, Grashof number, and Richardson number are employed to quantitatively delineate the agitator-induced forced convection zone, crude oil natural convection zone, and mixed convection region. Based on the spatial distribution characteristics of multi-scale turbulent vortex structures within these zones, the interaction mechanisms between natural and forced convection are qualitatively analyzed, while the Richardson number is used to quantitatively characterize the primary influencing factors of vortex flow in each convection region. …”
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Spatial Regionalization of the Arctic Ocean Based on Ocean Physical Property by Joo-Eun Yoon, Jinku Park, Hyun-Cheol Kim

“…The Arctic Ocean is considered to be highly susceptible to global climate change, with the potential for dramatic environmental impacts at both regional and global scales, and its spatial differences particularly have been exacerbated. …”
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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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Residential Electricity Load Model Construction in District Scale by Jieyan XU, Wenyang XU, Yuan CHU, Yuan JIN, Xuyuan KANG, Zheng CHEN

“…The electricity consumption data of urban scale has high-dimensional characteristics in both spatial scale and temporal span. …”
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Analysis of influencing factors and scales of agglomerate fog on expressways. by Hongna Dai, Jingwen Wang, Haixia Feng, Vladimir Zyryanov, Zhongke Feng, Jipeng Cui

“…Based on the analysis of the spatiotemporal distribution characteristics of agglomerate fog, from the spatial perspective, it employs Geographic Weighted Regression (GWR) and Multi-scale Geographic Weighted Regression (MGWR) models to analyze the influence and scale of factors including Digital Elevation Model (DEM), DEM difference, water system density, Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST) difference, and precipitation on agglomerate fog. …”
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DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images by Jyoshna Allenki, Hemant Kumar Soni

“…The proposed framework consists of four components: a dilated convolution-based encoder, a transformer-based encoder, a multi-scale multiple feature fusion decoder (MSMFD), and a DL training model. …”
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Characteristics of the electromagnetic environment created by radiations of user equipment of ...4G/5G/6G cellular (mobile) communications in buildings by V. I. Mordachev

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Research on the Influence of Evolution of Landscape Patterns of Blue-Green Space on the Cooling Effect in the Central Urban Area of Xi’an by Weiying KONG, Yizhuo LIU, Sichun DONG, Yuandong HU

“…By employing a combination of spatial autocorrelation analysis and a multi-scale geographically weighted regression (MGWR) model, the research examines the change characteristics of blue-green spaces and their impact on land surface temperature from 2013 to 2023. …”
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Levels and promotion modes of reclaimed water utilization in the urban agglomerations of the Yellow River Basin by WANG Xiaoyu, WU Fengping, WU Xiaoyuan, HAN Yufei

“…[Methods] This study focused on the urban agglomerations in the Yellow River Basin, measured their reclaimed water utilization levels (RWULs) from 2018 to 2022, and analyzed their spatial characteristics using the Pythagorean Triangular Fuzzy VIKOR multi-attribute decision-making method, standard deviational ellipse analysis, cold and hot spots analysis, and social network analysis methods. …”
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Modelling the soil microclimate: does the spatial or temporal resolution of input parameters matter? by Anna Carter, Michael Kearney, Nicola Mitchell, Stephen Hartley, Warren Porter, Nicola Nelson

“…<div class="WordSection1"><p>The urgency of predicting future impacts of environmental change on vulnerable populations is advancing the development of spatially explicit habitat models. Continental-scale climate and microclimate layers are now widely available. …”
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MOMFNet: A Deep Learning Approach for InSAR Phase Filtering Based on Multi-Objective Multi-Kernel Feature Extraction by Xuedong Zhang, Cheng Peng, Ziqi Li, Yaqi Zhang, Yongxuan Liu, Yong Wang

“…MOMFNet incorporates a multi-objective loss function that accounts for both the spatial and statistical characteristics of the denoising results, while its multi-kernel convolutional feature extraction module captures multi-scale information comprehensively. …”
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Intelligent segmentation of Chinese address elements combining textual and spatial semantic features by Xuefeng Yan, An Luo, Jiping Liu, Yong Wang, Ya Zhang

“…However, existing research has largely overlooked the spatial characteristics of address elements, thereby limiting the potential for further performance enhancement. …”
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