Research on territorial spatial planning based on data mining and geographic information visualization by Wang Yingqiao

“…Cluster analysis is used to conduct spatial cluster analysis of comprehensive spatial data to explore whether there is spatial correlation and large-scale contiguous data in the data; if so, it can realize the purpose of national territorial space division. …”
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Artificial neural networks for spatial distribution of fuel assemblies in reload of PWR reactors by Edyene Oliveira, Victor Castro, Carlos Velasquez, Claubia Pereira

“…An artificial neural network methodology is being developed in order to find an optimum spatial distribution of the fuel assemblies in a nuclear reactor core during reloading. …”
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Progress and Challenges in Morphodynamics of Braided Rivers in Source Region of Yangtze River by LI Zhi-wei, OUYANG Wei-qi

“…The focus has shifted from qualitative descriptions to quantitative analyses, covering spatial scales from bar-channel units to entire river reaches and temporal scales from individual flood events to interannual evolution. …”
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Phase memory of the three-level system in the presence of external spatially inhomogeneous electric fields by E.I. Nizamova, L.A. Nefediev, G.A. Gilmanova

“…In addition, the recording and reproduction of echo holograms in multi-level systems leads to the possibility, along with logical operations, to perform a change in the real-time scale and the sequence of events in the echo-hologram response, the data on which were embedded into the temporal structure of the object laser pulse. …”
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Spatial optimization of agricultural production from the perspective of “Greater Food Concept” in Yangzhou, China by Xin Li, Xin Xu, Ru Meng Yin

“…In this study, we quantitatively analyzed agricultural production space’s quality and spatial distribution characteristics using multi-scale fusion and ecological niche suitability models. …”
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Climate–carbon-cycle interactions and spatial heterogeneity of the late Triassic Carnian pluvial episode by Xiangdong Zhao, Naihua Xue, Hu Yang, Daran Zheng, Jungang Peng, Joost Frieling, David De Vleeschouwer, Xuewu Fu, Wanglu Jia, Yanan Fang, Sha Li, Meng Wang, Xianye Zhao, Qiang Wang, Haichun Zhang, Jingeng Sha, Hugh C. Jenkyns, Philippe Claeys, Bo Wang

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Eye in the Sky for Sub-Tidal Seagrass Mapping: Leveraging Unsupervised Domain Adaptation with SegFormer for Multi-Source and Multi-Resolution Aerial Imagery by Satish Pawar, Aris Thomasberger, Stefan Hein Bengtson, Malte Pedersen, Karen Timmermann

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MSA-3D: Dissecting Galaxies at z ∼ 1 with High Spatial and Spectral Resolution by Ivana Barišić, Tucker Jones, Kris Mortensen, Themiya Nanayakkara, Yuguang Chen, Ryan Sanders, James S. Bullock, Kevin Bundy, Claude-André Faucher-Giguère, Karl Glazebrook, Alaina Henry, Mengting Ju, Matthew Malkan, Takahiro Morishita, Danail Obreschkow, Namrata Roy, Juan M. Espejo Salcedo, Alice E. Shapley, Tommaso Treu, Xin Wang, Kyle B. Westfall

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Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method by Zilong Zhao, Zihan Kan, Mei-Po Kwan, Luliang Tang

“…This study develops a Graph-Laplacian Coupled Non-negative Tucker Decomposition (GCNTD) model to recognize multi-scale urban clusters in planar and network urban spaces. …”
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Spatiotemporal Dynamic Evolution of PM_2.5 Exposure from Land Use Changes: A Case Study of Gansu Province, China by Fang Liu, Shanghui Jia, Lingfei Ma, Shijun Lu

“…This study comprehensively analyzes the multi-scale differences and spatiotemporal evolution patterns of PM_2.5 exposure across various land use types, contributing to provide scientific evidence and decision-making support for mitigating air pollution and enhancing coordinated air pollution control at multi-scale administrative levels.…”
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Optimising management against dynamic threats: A spatially explicit approach based on integer programming by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

“…The ability to optimally deal with large‐scale, realistic scenarios makes our approach an important contribution to the field of invasive species control.…”
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A holistic framework for wetland placement and ecosystem service delivery by integrating landscape connectivity and participatory decision analysis in two Swedish catchments by Amir Rezvani, Marco Cavalli, Stefano Crema, Faruk Djodjic, Martyn Futter, Carla Sofia Santos Ferreira, Pan Haozhi, Zahra Kalantari

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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…Simultaneously, a multi-scale integration mechanism is applied to fuse action characteristics at varying scales, bolstering the system’s ability to represent actions effectively. …”
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Acquisition of Crop Spatial Patterns Based on Remote Sensing Data from Sentinel-2 Satellite by Yinan Wang, Kai Guo, Xiangbing Kong, Jintao Zhao, Buhui Chang, Chunjing Zhao, Fengying Jin

“…This study revolves around Henan and Shaanxi provinces, employing a spatiotemporal image data fusion approach. Utilizing the characteristic representation of the Normalized difference vegetation index (NDVI) temporal data from Sentinel-2 satellite imagery, a multi-scale segmentation of patches is conducted based on spatiotemporal fusion images. …”
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MFAN: Multi-Feature Attention Network for Breast Cancer Classification by Inzamam Mashood Nasir, Masad A. Alrasheedi, Nasser Aedh Alreshidi

“…During channel fusion, McSCAM can preserve the spatial characteristics and extract high-order statistical information, while the GLAM helps reduce the scale differences among the fused features. …”
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Convective-scale forecast errors over Taiwan: an ensemble analysis of error covariances and their influences by Kao-Shen Chung, Chih-Chien Tsai, Li-Hsin Chen, Shu-Chih Yang

“…Abstract This study investigates the characteristics of ensemble-based forecast errors at the convective scale over the land of Taiwan and the adjacent sea. …”
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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

“…There are numerous small-scale electron density irregularities in the ionosphere. …”
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Suppressed frictional noise on micro-triangle textured NBR inspired by ventral snake scales by Weibin Wu, Zeyun Li, Xue Yang, Qinqin Wang

“…This work provides a universal routine for attenuating frictional noise on NBR and validates its suppression mechanism by multi-scale analysis. The outcome is of great significance for developing low noise water-lubricated bearings and enhancing the mute level of ships.…”
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Urban flood mapping by fully mining and adaptive fusion of the polarimetric and spatial information of Sentinel-1 images by Qi Zhang, Xiangyun Hu

“…Related to this, accurate mapping of flood areas is a necessary undertaking that helps to understand the temporal and spatial evolution patterns of floods. Thus, this paper proposes a novel, unsupervised multi-scale machine learning (ML) approach for urban flood mapping with SAR images from the perspective of information mining and fusion. …”
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Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. by Raja Das, Pham Van Tien, Karl W Wegmann, Madhumita Chakraborty

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