Research on the Coordination Relationship and Zoning Optimization of Territorial Spatial Functions in Southern Karst Regions Based on a Multi-Scale Fusion Model by Ting Feng, Xiaodong Yu, Yan Zhou, Renling Dong, Dong Wu, Meilin Zhang

“…The identification and management of Territorial Spatial Functions (TSFs) across multi-scale is crucial for achieving the SDGs. …”
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Rolling Bearing Fault Diagnosis Model Based on Multi-Scale Depthwise Separable Convolutional Neural Network Integrated with Spatial Attention Mechanism by Zhixin Jin, Xudong Hu, Hongli Wang, Shengyu Guan, Kaiman Liu, Zhiwen Fang, Hongwei Wang, Xuesong Wang, Lijie Wang, Qun Zhang

“…Subsequently, the model architecture incorporates a spatial attention mechanism and a multi-scale depthwise separable convolutional module. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…Abstract In recent years, due to the unique spatial-spectral characteristics of hyperspectral images, they have played a crucial role in many fields. …”
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Spatiotemporal analysis of drought patterns and trends across Africa: a multi-scale SPEI approach (1960–2018) by Akinwale T. Ogunrinde, Paul Adigun, Xian Xue, Dairaku Koji, Qiqi Jing

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MDA-MIM: a radar echo map prediction model integrating multi-scale feature fusion and dual attention mechanism by HU Qiang, GAO Yating, YIN Binli, QU Lianen

“…Dilated convolution was used to extract and integrate multi-scale features. To better capture the non-stationary characteristics of radar echo data, a self-attention mechanism was introduced into the non-stationary module of the MIM model, dynamically adjusting the weights of different time steps and spatial positions. …”
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Multi-Dimensional Characteristics and Zoning Optimization of the Spatial Pattern of Specialized Villages in China: A Large Sample Analysis Based on the Supply–Demand Coupling by Jiangjiang Xie, Yang Rui, Kejing Liu, Weihong Sun

“…The provinces with the highest numbers of specialized villages are Zhejiang, Heze, and Yiwu. (2) The spatial distribution of specialized villages demonstrates multi-scale differentiation and spatial autocorrelation, with the most uneven distribution and strongest local autocorrelation occurring at the county level. (3) The zoning results for both supply and demand aspects are closely related to economic divisions and population geographical boundaries, forming nine combination types. …”
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Multi-scale electricity consumption prediction model based on land use and interpretable machine learning: A case study of China by Haizhi Luo, Yiwen Zhang, Xinyu Gao, Zhengguang Liu, Xiangzhao Meng, Xiaohu Yang

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Can the Coordinated Development of Land Urbanization and Population Urbanization Promote Carbon Emission Efficiency? A Multi-Scale Heterogeneity Analysis in China by Hanlong Gu, Qi Liu, Ming Cheng, Chongyang Huan, Bingyi Wang, Jiaqian Wu

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Multi-scale spatial differentiation and formation mechanisms of rural settlements (RS): a Geodetector-based analysis in the middle-lower yellow river basin (ML-YRB), China by Xiaoping Zhang, Xiaoping Zhang, Lu Yu, Xin Wen, Lijing Li, Huabin Xiao, Xunxi Yin

“…Focusing on the core issue of the multi-scale characteristics and driving mechanisms of spatial differentiation of rural settlements (RS) in the middle-lower Yellow River Basin (ML-YRB), this study aims to provide a scientific basis for the development and protection of regional RS. …”
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Segmentation of Spatial Crack Structures in Concrete by Deep Learning Enabling Image Based Characterization by Anna Nowacka, Katja Schladitz, Szymon Grzesiak, Matthias Pahn

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Research on multi-scale digital core construction of carbonate rock with fractures and caves characteristics: a case study of Dengying formation carbonate rocks in Sichuan Basin by Geli Li, Jianbin Zhao, Yuejiao Liu, Zhanshan Xiao, Shitao Cui, Bo Wei, Chenjun Zhang, Yakun Mao, Yang Xia, Lei Xu, Jianmeng Sun, Zuzhi Hu

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Multi-scale comparison of the formation mechanisms in landscape genes of traditional villages by Chao Yu, Zhiyuan Zhou, Junbo Gao, Xiangmin Zhang, Qian Zheng, Zhengbing Liu, Zhifei Ma, Weichun He, Suping Wen

“…Abstract The relationship between traditional village landscape genes and the geographical environment is closely intertwined, exhibiting notable spatial differences and cultural characteristics during scale transformations. …”
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Multi-scale fusion semantic enhancement network for medical image segmentation by Zilong Zhang, Chao Xu, Zhengping Li, Yixuan Chen, Chao Nie

“…On the decoder side, we have introduced the PSE (Parallel Semantic Enhancement) module, which embeds the boundary and position information of the secondary encoder into the output characteristics of the backbone network. In the multi-scale decoding process, we also add SAM (Scale Aware Module) to recover global semantic information and offset for the loss of boundary details. …”
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ESL-YOLO: Small Object Detection with Effective Feature Enhancement and Spatial-Context-Guided Fusion Network for Remote Sensing by Xiangyue Zheng, Yijuan Qiu, Gang Zhang, Tao Lei, Ping Jiang

“…This model includes: (1) an innovative plug-and-play feature enhancement module that incorporates multi-scale local contextual information to bolster detection performance for small objects; (2) a spatial-context-guided multi-scale feature fusion framework that enables effective integration of shallow features, thereby minimizing spatial information loss; and (3) a local attention pyramid module aimed at mitigating background noise while highlighting small object characteristics. …”
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CHTopo: A Multi-Source Large-Scale Chinese Toponym Annotation Corpus by Peng Ye, Yujin Jiang, Yadi Wang

“…On this basis, by integrating multi-source corpora from the <i>Encyclopedia of China: Chinese Geography</i> and <i>People’s Daily</i>, a large-scale Chinese toponym annotation corpus (CHTopo) covering five major categories of toponyms has been constructed. …”
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A Review of Wind Power Prediction Methods Based on Multi-Time Scales by Fan Li, Hongzhen Wang, Dan Wang, Dong Liu, Ke Sun

“…By synthesizing existing approaches through multi-time scales, from the ultra-short term and short term to mid-long term, the review further deconstructs methods by model characteristics, input data types, spatial scales, and evaluation metrics. …”
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Exploring Inequality: A Multi-Scale Analysis of China’s Consumption Carbon Footprint by Feng Xu, Xinqi Zheng, Minrui Zheng, Dongya Liu, Yin Ma, Jizong Peng, Ye Shen, Xu Han, Mengdi Zhang

“…Previous research has primarily focused on the structure of carbon footprints and their influencing factors, but there has been limited quantitative research on carbon emission inequality, particularly from a multi-scale perspective. This study constructs a 250 m-high-resolution consumption-based carbon footprint grid for China and uses the Theil index to reveal significant spatial inequalities in carbon footprints. …”
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YOLOP-MVF: A Multi-Task Autonomous Driving Perception Detection Method Based on Multi Scale Feature Weighted Fusion by Yanqiu Niu, Jing Zhang

“…The model integrates a sub-pixel 3D fusion module and a triple feature encoding module to enhance the representation of multi-scale features. A multi-scale convolutional attention-weighting mechanism is further introduced to adaptively emphasize critical spatial information. …”
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Spatial Pattern and Evolutionary Characteristics of Settlements in Dianchi River Basin from the Perspective of Toponymy by Ying’ao WANG, Weijian HU, Wen PENG, Yuliang YANG

“…The center of gravity of human settlement activities has shifted from the southeast bank to the north bank, and the benign control of hydrological environment has been realized in the gradual cumulation human settlement behavior. 2) The interactive effect of elevation and river network density is the key factor leading the evolution of settlement pattern in the Dianchi Lake Basin: In short-term scale, elevation and river network density are interlocking, and the hydraulic engineering reduces the riverbed elevation and expands the alluvial fan area, which significantly enhances the settlement carrying capacity in the low altitude area and affects the spatial pattern of settlement after Yuan Dynasty; in the long term, from the dual clues of “hydrological constraint” to human – water interaction, the significant spatial coupling of the migration trajectory of the settlement center of gravity and the retreat process of the lake shoreline confirms the characteristics of the phased transformation of the relationship between human and water, and realizes the paradigm shift from “choosing to live near water” to “controlling water for better habitation”.ConclusionThe combination of toponymy and spatial analysis provides an innovative path for the interdisciplinary research on human settlement science. …”
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Scale, state and the city: Transformation of Diyarbakır, Suriçi region through the framework of spatial morphology and urban resilience by Berfin Eren, Mehmet Emin Şalgamcıoğlu

“…At the building scale, space syntax analysis reveals the spatial patterns of the altered morphological characteristics of traditional houses. …”
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