Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

“…By demonstrating the big data for the spatial distribution and driving factors of milk tea stores at the urban regional scale, we fill the research gap on the spatial distribution of milk tea stores at the meso-scale. …”
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The Distribution Pattern and Spatial Morphological Characteristics of Military Settlements Along the Ming Great Wall in the Hexi Corridor Region by Baolong Jiang, Yuhao Huang, Yile Chen, Jie Lu, Tianfu Yang

“…The main blocks are highly accessible, and the overall space is recognizable and has certain defensive characteristics. This study systematically constructed an analytical framework for multi-scale collaborative defense mechanisms, revealing a collaborative defense model of “linear distribution–hierarchical defense–functional coordination”. …”
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“Target–Classification–Modification” Method for Spatial Identification of Brownfields: A Case Study of Tangshan City, China by Quanchuan Fu, Jingyuan Zhu, Xiaodi Zheng, Zhengxiang Li, Maini Chen, Yuyuwei He

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Photoplethysmogram (PPG)-Based Biometric Identification Using 2D Signal Transformation and Multi-Scale Feature Fusion by Yuanyuan Xu, Zhi Wang, Xiaochang Liu

“…Next, a novel Lightweight Multi-Scale Feature Fusion (LMSFF) module is proposed, which addresses the limitation of single-scale feature extraction in existing methods by employing parallel multi-scale convolutional operations. …”
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Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

“…This paper proposes a pipeline anomaly detection method termed Multi-scale Feature Fusion GANomaly with Dilated Neighborhood Attention. …”
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SIG-ShapeFormer: A Multi-Scale Spatiotemporal Feature Fusion Network for Satellite Cloud Image Classification by Xuan Liu, Zhenyu Lu, Bingjian Lu, Zhuang Li, Zhongfeng Chen, Yongjie Ma

“…To the best of our knowledge, this work is the first to transform satellite cloud data into multivariate time series and introduce a unified framework for multi-scale and multimodal feature fusion. SIG-Shapeformer consists of three core components: (1) a Shapelet-based module that captures discriminative and interpretable local temporal patterns; (2) a multi-scale Inception module combining 1D convolutions and Transformer encoders to extract temporal features across different scales; and (3) a differentially enhanced Gramian Angular Summation Field (GASF) module that converts time series into 2D texture representations, significantly improving the recognition of cloud internal structures. …”
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Spatial and temporal differences and influencing factors of rural e-commerce development level in Zhejiang province from multi-scale perspective(多尺度视角下浙江省农村电商发展水平时空差异及其影响因素)... by 马芳芳(MA Fangfang), 李晗(LI Han), 崔誉(CUI Yu), 宋永鹏(SONG Yongpeng), 丁志伟(DING Zhiwei)

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Integrated Framework and Technical Path for Multi-level Nested Assessment of Landscape Character by Yuncai WANG, Qizhen DONG

“…Based on the overall characteristics of landscape and the nesting of landscape spatial units, integrating the perspectives and systems of LCA and LPA, a multi-level nested framework for landscape character assessment is proposed as a reference for understanding the multi-scale local characteristics and spatial systems of landscape. …”
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Spatial identification and corridor network analysis of cultural heritage based on multi-model fusion: A case study of western Henan by Yipeng Ge, Yang Liu, Yueshan Ma, Yitong Wang, Yafei Guo, Jie He, Yalong Mao

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Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4 by T. Rackow, T. Rackow, X. Pedruzo-Bagazgoitia, T. Becker, S. Milinski, I. Sandu, R. Aguridan, P. Bechtold, S. Beyer, J. Bidlot, S. Boussetta, W. Deconinck, M. Diamantakis, P. Dueben, E. Dutra, E. Dutra, R. Forbes, R. Ghosh, H. F. Goessling, I. Hadade, J. Hegewald, T. Jung, T. Jung, S. Keeley, L. Kluft, N. Koldunov, A. Koldunov, T. Kölling, J. Kousal, C. Kühnlein, P. Maciel, K. Mogensen, T. Quintino, I. Polichtchouk, B. Reuter, D. Sármány, P. Scholz, D. Sidorenko, J. Streffing, B. Sützl, D. Takasuka, D. Takasuka, S. Tietsche, M. Valentini, B. Vannière, N. Wedi, L. Zampieri, F. Ziemen

“…New developments at ECMWF for a better representation of snow and land use, including a dedicated scheme for urban areas, were also tested on multi-year timescales. We provide first examples of significant advances in the realism and thus opportunities of these kilometre-scale simulations, such as a clear imprint of resolved Arctic sea ice leads on atmospheric temperature, impacts of kilometre-scale urban areas on the diurnal temperature cycle in cities, and better propagation and symmetry characteristics of the Madden–Julian Oscillation.…”
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Multi-dimensional Exposure Characteristics and Health Benefits Differentiation of Green Spaces within Community Life Circle by Hailin HONG, Qing CHANG

“…Identifying the health benefits and differentiation of diverse urban green space exposure characteristics within community life circle can address relative evidence gaps while informing more precise, effective planning strategies for practical applications.MethodsThis research employs a case study of Beijing’s central urban area, utilizing random forest model integrated with Shapley additive explanation (SHAP) to quantify the relative contribution of multi-dimensional UGS exposure characteristics to health benefits. …”
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Comparative analysis of injection rate and spray characteristics of ammonia and diesel from multi-hole diesel injector by Seonho Park, Gyuhan Bae, Seoksu Moon

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Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated... by Gui Chen, Qingxia Peng, Qiaohong Fan, Wenxiong Lin, Kai Su

“…Then, the integrated model was used to analyze the spatial–temporal variation in land-use pattern and carbon storage at the county scale in China’s Daiyun Mountain’s Rim under four scenarios in 2032, and analyze the driving force of spatial differentiation of carbon storage. …”
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Landscape Pattern Changes and Ecological Vulnerability Assessment in Mountainous Regions: A Multi-Scale Analysis of Heishui County, Southwest China by Weiqi Gu, Hong Fu, Wen Jin

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Construction and Evaluation of Urban Green Infrastructure in Ecologically Vulnerable Areas Based on Multi-Scale and Multi-Objective Approaches: Taking the Four-Lake Hydrographic Ne... by Wenhao Cheng, Caihong Ma

“…This study reveals the multifaceted requirements of urban landscape security and sustainability, indicating that multi-scale and multi-objective approaches in territorial space planning not only ensure the integrity of the landscape patterns but also reduce the costs associated with landscape construction. …”
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A Multi-Feature Fusion Approach for Sea Fog Detection Under Complex Background by Shuyuan Yang, Yuzhu Tang, Zeming Zhou, Xiaofeng Zhao, Pinglv Yang, Yangfan Hu, Ran Bo

“…Based on the spatial distribution characteristics of sea fog and clouds, we redesigned the loss function to integrate total variation loss, focal loss, and dice loss. …”
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A Full-Scale Shadow Detection Network Based on Multiple Attention Mechanisms for Remote-Sensing Images by Lei Zhang, Qing Zhang, Yu Wu, Yanfeng Zhang, Shan Xiang, Donghai Xie, Zeyu Wang

“…Firstly, we proposed a multi-scale spatial channel attention fusion module, which extracted multi-scale features incorporating both spatial and channel information, allowing the model to flexibly adapt to shadows of different scales. …”
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Driving Factors of Rural Land-Use Change from a Multi-Scale Perspective: A Case Study of the Loess Plateau in China by Bo Hu, Qingsong Ni, Zongfeng Chen, Xueqi Liu, Pingan Liu, Ziyi Yuan

“…The issue of multi-scale driving forces within land systems has emerged as one of the pivotal research directions for innovative exploration in the field of land science. …”
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Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM) by Baoyi Zhang, Jiacheng Tang, Yuke Huan, Lei Song, Syed Yasir Ali Shah, Lifang Wang

“…The comprehensive consideration of scale characteristics through the multi-scale sampling strategy outperforms the single-scale CNN models across all evaluation metrics. …”
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Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range by Yang Zou, XiuJun Dong, Tao Feng, ZhengXuan Xu, Hailin He, ZhangLei Wu

“…Therefore, in the design and construction process of tunnels in Hengduan Mountain area, it is very important to identify the mechanism of sudden s inrushing and collapse risks, predict the spatial location and scale of possible inrushing and collapse, and formulate corresponding tunnel design and construction response measures. …”
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