A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects by Rui Li, Xuanwen Yang, Jun Lou, Junsong Zhang

“…To capture high-level information distributed in time, spatial, and frequency domains, TSGCN considers both neural oscillation changes in different time windows and topological structures between different brain regions. …”
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Reliability of MODIS Evapotranspiration Products for Heterogeneous Dry Forest: A Study Case of Caatinga by Rodrigo de Queiroga Miranda, Josiclêda Domiciano Galvíncio, Magna Soelma Beserra de Moura, Charles Allan Jones, Raghavan Srinivasan

“…However, accurately estimating ET from complex landscapes can be difficult because of its high spatial heterogeneity and diversity of driver factors, which make extrapolation of data from a point to a larger area quite inaccurate. …”
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Variation in water yield of Yellow River Basin in the Gansu Section from 2000 to 2020 by ZHANG Jiangke, DAI Wenyuan, GAO Yanting, ZHANG Rui

“…【Method】The InVEST model was employed to calculate water yield, while spatial pattern analysis, trend analysis, and hot-spot and cold-spot analysis were conducted to assess distribution patterns, temporal changes, and key areas of variation in water yield. …”
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Determination of Groundwater Vulnerability for Protection of the Drinking Water Basins: A Case Study From Türkiye, Kesikköprü Dam Lake Basin by Olcay Gülçiçek Uysal, Kağan Cebe, Mert Cüylan, Olgu Yurttaş

“…The spatial correlation between these indicators and DRASTIC output supports the model's reliability. …”
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MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding by Dehao Zhang, Tao Zhang, Haijiang Sun, Yanhui Tang, Qiaoyuan Liu

“…We effectively extract the changing features as the input of the model, fusing channel attention and spatial attention into Vision Transformer to capture correlations between features in different dimensions, which enhances the accuracy of the identification of micro-expressions. …”
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Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures by Kasian Myagila, Kasian Myagila, Devotha Godfrey Nyambo, Mussa Ally Dida

“…These results show that more effort is required to improve signer independence performance, including the challenges of hand dominance by optimizing spatial features.…”
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A Methodological Framework for Assessing Overtourism in Insular Territories—Case Study of Santorini Island, Greece by Akrivi Leka, Apostolos Lagarias, Anastasia Stratigea, Panayiotis Prekas

“…Results show that Santorini Island is confronted with severe overtourism impacts, which are highly affecting its identity, productive model and spatial pattern, while endangering its natural and cultural wealth.…”
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Spatio-temporal study on coupling coordination between urbanization and eco-resilience in the Erhai Lake Basin by Zhanting Deng, Yuhan Chen, Fengshan Jiang, Yangbin Zhang, Zhiqiang Xie, Yuning Zhang, Lei Zhao

“…To better coordinate the relationship between urbanisation development and ecological environment construction, this paper conducts an analysis and assessment of the ecological resilience and urbanisation coupling coordination in Dali Prefecture based on socio-geographical spatial data. …”
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The Integration and Growth of R in Soil Research: A 10‐Year Analysis by Meixiang Gao, Xiujuan Yan, Xin Li, Ye Zheng, Jiangshan Lai

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Ergonomic challenges and culturally-adapted aesthetic strategies in Tunisian university libraries: Insights from Daciano da Costa and contemporary design frameworks in the digital... by Malek Nouri, Ph.D.

“…The findings reveal a disconnection between the evolving demands of library users and the existing spatial configurations, ergonomic features, and technological integrations. …”
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Effects of landscape‐scale forest change on the range contraction of ruffed grouse in New York State, USA by William F. Porter, Marta A. Jarzyna

“…We hypothesized that range contraction of grouse in New York State was associated with broad‐scale spatial patterns relating to forest maturation and that these patterns would be evident at the landscape scale. …”
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The Evolution of the Interaction Between Urban Rail Transit and Land Use: A CiteSpace-Based Knowledge Mapping Approach by Haochen Yang, Nana Cui, Haishan Xia

“…Urban rail transit is a key enabler for optimizing urban spatial structures, and its interactive relationship with land use has long been a focus of attention. …”
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Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…Furthermore, the WIoUv3 loss function replaces the CIoU loss function to enhance the model’s robustness against spatial transformations and scale variations. Comparative experiments and ablation studies conducted on publicly available datasets validate the superiority and generalization ability of the improved model. …”
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Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review. by Lejla Alic, Wiro J Niessen, Jifke F Veenland

“…Heterogeneity analysis methods were classified into four categories, i.e., non-spatial methods (NSM), spatial grey level methods (SGLM), fractal analysis (FA) methods, and filters and transforms (F&T). …”
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Evaluation of Personal and Built Environment Attributes to Physical Activity: A Multilevel Analysis on Multiple Population-Based Data Sources by Wei Yang, Karen Spears, Fan Zhang, Wai Lee, Heidi L. Himler

“…Mixed model logistic regression and geographic information system (GIS) spatial analysis were conducted. Results. Among 6,311 respondents, 24.4% reported no LTPA engagement during the past 30 days. …”
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Virtual Prototyping of a Novel Manipulator for Efficient Laser Processing of Complex Large Parts by Antonio Pandolfi, Sergio Ferrarini, Pietro Bilancia, Marcello Pellicciari

“…The model is validated with a commercial solver imposing different spatial motions. The generated performance maps illustrate the robot operational capabilities across a range of work scenarios.…”
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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

“…The model architecture leverages the temporal sequence-capturing capabilities of Stacked Bi-LSTM layers, enhancing it with the spatial feature extraction prowess of CNN layers. …”
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Index-Based Neural Network Framework for Truss Structural Analysis via a Mechanics-Informed Augmented Lagrangian Approach by Hyeonju Ha, Sudeok Shon, Seungjae Lee

“…The efficiency and accuracy of the framework were numerically validated using various examples, including spatial trusses, square grid-type space frames, lattice domes, and domes exhibiting radial flow characteristics. …”
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A Systematic Review of the Bibliometrics and Methodological Research Used on Studies Focused on School Neighborhood Built Environment and the Physical Health of Children and Adoles... by Iris Díaz-Carrasco, Sergio Campos-Sánchez, Ana Queralt, Palma Chillón

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A review of remote sensing applications in flower phenology detection by Ehsan Rahimi, Chuleui Jung

“…The shift in flowering phenology with plants blooming earlier due to climate change, disrupts the synchronization between plants and pollinators by creating temporal and spatial mismatches. Monitoring these shifts is essential, and remote sensing has become an invaluable tool for detecting flowering periods over vast areas. …”
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