Continuous Sign Language Recognition With Multi-Scale Spatial-Temporal Feature Enhancement by Zhen Wang, Dongyuan Li, Renhe Jiang, Manabu Okumura

“…A successful CSLR method relies on the continuous tracking of the presenter’s gestures and facial movements. Existing CSLR methods struggle with fully leveraging fine-grained continuous frame information and often overlook the importance of multi-scale feature integration during decoding. …”
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spaMGCN: a graph convolutional network with autoencoder for spatial domain identification using multi-scale adaptation by Tianjiao Zhang, Hongfei Zhang, Zhongqian Zhao, Saihong Shao, Yucai Jiang, Xiang Zhang, Guohua Wang

“…By integrating spatial transcriptomics and spatial epigenomic data through an autoencoder and a multi-scale adaptive graph convolutional network, spaMGCN outperforms baseline methods. …”
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Revealing multi-scale spatial synergy of mega-city region from a human mobility perspective by Bichen Fang, Mingxiao Li, Zhengdong Huang, Yang Yue, Wei Tu, Renzhong Guo

“…To this end, this study presents an alternative data-driven framework to reveal the multi-scale spatial synergy of mega-city regions from a human mobility perspective. …”
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Heterogeneous attention multi-scale network for efficient weld seam classification by Enpei Guo, Feixu Chen

“…Abstract Weld seam classification in industrial settings faces critical challenges including diverse weld geometries, subtle inter-class variations, and varying image quality under industrial conditions. This paper presents HAMS-Net (Heterogeneous Attention Multi-Scale Network), a novel deep learning framework that achieves state-of-the-art performance in weld seam classification. …”
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Temporal and Spatial Scale Dependency of Air‐Sea Interactions via the Vertical Mixing Mechanism by D. A. Putrasahan, J.‐S. von Storch

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Unveiling spatiotemporal evolution and driving factors of ecosystem service value: interpretable HGB-SHAP machine learning model by Xiangming Xu, Xinyi Zhang, Linghua Qin, Rui Li

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Single image de-raining by multi-scale Fourier Transform network. by Chaobing Zheng, Yao Yao, Wenjian Ying, Shiqian Wu

“…Removing rain streaks from a single image presents a significant challenge due to the spatial variability of the streaks within the rainy image. …”
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Spatial heterogeneity and interacting intensity of drivers for trade-offs and synergies between carbon sequestration and biodiversity by Shuaiqi Yang, Shuangyun Peng, Xiaona Li, Xiaoyan Wei, Yingying Pan, Yuanmei Jiao

“…By integrating the factor detection of the Geographic Detector and the Multi-scale Geographically Weighted Regression (MGWR) model, this study identified the key drivers affecting trade-off and synergy and revealed their spatial heterogeneity. …”
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An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition by Shixin Huo, Na Duan, Zhizheng Xu

“…A new neck network is designed by using C2f‐DCN and C2f‐DCN‐EMA module, which are established with deformable convolutions and efficient multi‐scale attention module with cross‐spatial learning attention mechanism. …”
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MSALNet: a multi-scale adaptive learning network for high-resolution remote sensing scene classification by Chao Yang, Chengbo Wei, Yiming Zhao, Liming Wang, Peigang Xu, Kunlun Qi, Yuanzheng Shao, Huayi Wu

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DynTransNet: Dynamic Transformer Network with multi-scale attention for liver cancer segmentation by Siming Zheng, Siming Zheng, A. S. M. Sharifuzzaman Sagar, Yu Chen, Zehao Yu, Shi Ying, Yongyi Zeng, Yongyi Zeng

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A Vehicle–Infrastructure Cooperative Perception Network Based on Multi-Scale Dynamic Feature Fusion by Jianhu Liu, Ping Wang, Xia Wu

“…Our approach includes a Multi-Scale Dynamic Feature Fusion Module designed to comprehensively integrate features from both vehicle and infrastructure across spatial and semantic dimensions. …”
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Coupled InVEST-GTWR modeling reveals scale-dependent drivers of N and P export in a Chinese mountainous region by Zhiqiang Lin, Shuangyun Peng, Yuanyuan Yin, Dongling Ma, Rong Jin, Jiaying Zhu, Ziyi Zhu, Shuangfu Shi, Yilin Zhu

“…However, existing research often neglects multi-scale analyses across administrative levels and provides limited insight into the complex drivers of nutrient export in data-scarce mountainous regions. …”
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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. by Kang Xu, Bin Pan, MingXin Zhang, Xuan Zhang, XiaoYu Hou, JingXian Yu, ZhiZhu Lu, Xiao Zeng, QingQing Jia

“…Accurate traffic flow prediction is vital for intelligent transportation systems but presents significant challenges. Existing methods, however, have the following limitations: (1) insufficient exploration of interactions across different temporal scales, which restricts effective future flow prediction; (2) reliance on predefined graph structures in graph neural networks, making it challenging to accurately model the spatial relationships in complex road networks; and (3) end-to-end training, which often results in unclear optimization directions for model parameters, thereby limiting improvements in predictive performance. …”
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Multi-Scale Feature Mixed Attention Network for Cloud and Snow Segmentation in Remote Sensing Images by Liling Zhao, Junyu Chen, Zichen Liao, Feng Shi

“…The framework integrates three key components: (1) a Multi-scale Pooling Feature Perception Module to capture multi-level structural features, (2) a Bilateral Feature Mixed Attention Module that enhances boundary detection through spatial-channel attention, and (3) a Multi-scale Feature Convolution Fusion Module to reduce edge blurring. …”
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An updated non-intrusive, multi-scale, and flexible coupling interface in WRF 4.6.0 by S. Masson, S. Jullien, E. Maisonnave, D. Gill, G. Samson, M. Le Corre, L. Renault

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ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation by Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong

“…However, crack structures often exhibit asymmetry, irregular morphology, and multi-scale variations, posing significant challenges to conventional CNN-based methods in real-world environments. …”
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SymSwin: Multi-Scale-Aware Super-Resolution of Remote Sensing Images Based on Swin Transformers by Dian Jiao, Nan Su, Yiming Yan, Ying Liang, Shou Feng, Chunhui Zhao, Guangjun He

“…To address that problem, we present SymSwin, a super-resolution model based on the Swin transformer aimed to capture a multi-scale context. …”
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A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images by Shilong Zhou, Haijin Zhou, Lei Qian

“…Abstract Detecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information, rigid feature fusion, and limited global feature representation. …”
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Development and Application of a Multi-scale Framework for Evaluating Floodplain Restoration Suitability Based on HEC-RAS by Shuoxing LI, Nanxi WANG, Yan ZHA

“…The case study in the Liuxi River Basin demonstrates that the restored floodplains can significantly enhance flood defense capabilities and ecological functions, while also supporting recreational and socio-economic needs at multiple spatial scales. The integration of HEC-RAS simulations with GIS-based spatial data enables precise identification of high-priority areas, while the entropy weight method ensures that indicator weighting remains data-driven and objective. …”
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