Past Expansion and Future Prediction of Land Use and Land Cover of Sofia City by D. Pavlov, D. Pavlov, L. L. Vitanova, D. Petrova-Antonova

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Spatiotemporal dynamics and driving mechanisms of coupled coordination between rural–urban integration and rural resilience in Southwest China by Zhengyong Yu, Jiqing Lin, Yifei Zhao, Wei Liu

“…The analysis of the temporal evolution of the degree of coupling coordination reveals a trend of gradually increasing regional coordination, while the analysis of the spatial evolution shows a spatial pattern of high in the centre and low on both sides. …”
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Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism by Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul

“…Despite advances in machine learning and deep learning, capturing the intricate spatial and temporal patterns in EEG data remains challenging. …”
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Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

“…In this article, we propose a novel reconstruction-based approach that enhances normal pattern learning through data masking and leverages diffusion models to capture both temporal and spatial interrelations via graph-attention layers. …”
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The Spatiotemporal Evolution of Land Use Ecological Efficiency in the Huaihai Economic Zone: Insights from a Multi-Dimensional Framework and Geospatial Modeling by Gan Teng, Longqian Chen, Ting Zhang, Long Li, Jue Xiao, Linyu Ma

“…High-efficiency areas shifted from a dispersed pattern to a “T-shaped” spatial distribution, while low-efficiency areas gradually converged toward the southern regions, evolving from an “H-shaped” cluster. (3) The influence of industrial structure, urbanization, environmental regulation, ecological factors, and land use on ecological efficiency exhibited clear spatial and temporal heterogeneity. …”
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Evolutionary analysis of landscape ecological risk in Baili Rhododendron National Forest Park. by Yin Yu, Wengang Cui, Suihua Liu, Ting Yu, Yang Song

“…With the support of the landscape ecological risk evaluation model and spatial analysis methods, the features of spatial and temporal differentiation of ecological risk and its spatial correlation in the study area were evaluated. …”
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Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach by Legesse Kassa Debusho, Leta Lencha Gemechu

“…Abstract Background The aim of this paper was to evaluate the distribution of HIV and TB in Ethiopia during four years (2015-2018) at the district level, considering both spatial and temporal patterns. …”
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Modeling Return Levels of Non-Stationary Rainfall Extremes Due to Climate Change by Mahin Razi Ghalavand, Manuchehr Farajzadeh, Yousef Ghavidel Rahimi

“…Global warming increases evaporation and atmospheric water vapor, leading to more extreme events in both spatial and temporal domains. This study conducts a non-stationary extreme value analysis of the annual daily maximum at 36 meteorological stations over Iran from 1960 to 2021. …”
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Characteristics of time-transgressive Holocene Optimum in the East Asian monsoon region by Ren Weihe, Guitian Yi

“…The Holocene Optimum (HO) defines a relatively warm and wet period during the Holocene, the initial and termination ages of which have been extensively reported for East Asia; however, debates still focus on underlying spatial and temporal patterns. Here, latest paleoclimate records from the East Asian monsoon region and arid central Asia are synthesized to evaluate the spatial and temporal patterns of the HO. …”
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Pearl River Delta: Scales, Times, Domains by Liang Xiong

“…The present flooding issue was revealed by identifying the critical threshold signals, namely sudden changes in the spatial pattern of the dike system. Such trends increased the flood risk in the new urban areas on both the delta and regional scales. …”
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Beyond scale to efficiency: a dual-perspective framework for green finance in China by Ren Wang, Yicheng Duan, Danchen Li

“…Therefore, to foster high-quality green finance development, attention should be given to establishing a multidimensional linkage system, creating a multi-layer compatible spatial pattern for green finance, exploring diverse interaction drivers for green finance development, and establishing a multi-party linkage model for green finance development.…”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…Most methods are based only on spatial or temporal features and cannot efficiently capture both in one framework, causing lower accuracy in realistic situations. …”
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The Driving Path of China’s Urban Resilience Enhancement in the Digital Economy Era by Liang Tang, Haifeng Jiang, Zhenling Zhang, Shanshan Hou, Bo Liu

“…The study showed that there were large regional differences in the urban resilience index, with an overall spatial pattern of “good in the east, middle in the center, and low in the west” and an overall trend of gradual increase. …”
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Assessment of the Spatiotemporal Evolution Characteristics and Driving Factors of Ecological Vulnerability in the Hubei Section of the Yangtze River Economic Belt by Shuai Wu, Guanzhong Zeng, Jie Sun, Xiaohuang Liu, Xuanhui Li, Qinghua Zeng, Shijie Gu

“…The Theil index decreased and then rose, the degree of spatial agglomeration was floating in a “V” shape, and the spatial pattern of vulnerability was essentially the same in the hot- and cold-spot areas. …”
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A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces by Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

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Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification by Zhuozheng Wang, Yunlong Wang

“…The model consists of parallel branches to extract spatial, temporal, and frequency features: a Graph Attention Network (GAT) models spatial relationships among EEG channels, a hybrid Gated Recurrent Unit (GRU) and Transformer module captures temporal dependencies, and one-dimensional CNNs extract frequency-specific information. …”
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Spatiotemporal differentiation and trade-off/synergy relationships of ecosystem service values in a national park pilot area in China by Peng Wang, Le Li, Zhiqiang Gao, Nan Li, Dongyang Han

“…This study focuses on China’s Qianjiangyuan National Park (QNP) pilot area. To evaluate its ESV at both the temporal and spatial scales, models and tools including value equivalent factors, partial least squares regression, sensitivity analysis, spatial autocorrelation, and trade-off/synergy assessment are utilized. …”
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Assessment of ecological asset quality and its drivers in Agro-pastoral Ecotone of China by Wenmin Liu, Zhiyuan Cheng, Jie Li, Guang Li, Ninghui Pan

“…In this study, we synthesized soil, topography, and perpendicular indicators, based on Sen + MK trend analysis, Hurst index analysis, and Pearson correlation analysis methods, combined with climate and socio-economic data, and took the municipal scale of Agro-pastoral Ecotone of China as the study unit to quantitatively assess the spatial and temporal changes of ecological asset quality in the study area from 2000 to 2020, and to identify the influencing factors that generate spatial heterogeneity. …”
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Quantifying the Cumulative Effects of Large-Scale Reclamation on Coastal Wetland Degradation by Linlin Cui, Guosheng Li, Miao Zhao, Zhihui Zhang

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Statistical analyzes and anomalies of precipitation in cold period in order to understand the effect of climate change on different regions of Iran (1951-2010) by elham yarahmadi, mostafa karampoor, hooshang ghaemi, mohammad moradi, behrouz nasiri

“…Studies show, except on the shores of the Caspian Sea, there is little change between autumn and winter patterns. The average rainfall of the southern shores of the Caspian Sea has decreased to the west and east. in other areas of the country, the spatial and temporal variations of rainfall in the autumn are very highand from the north to the south, the mean decreases and the coefficient of variation and skewness increase. …”
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