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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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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ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

“…This model innovatively introduces the graph attention mechanism into the spatio-temporal graph network (ST-GNN), in the spatial dimension, the attention layer (GAL) dynamically learns the attention weights among nodes to adaptively capture the dynamic spatial dependencies in the transportation network, and in the temporal dimension, the temporal convolutional layer extracts the multiscale temporal patterns, which efficiently captures the complex spatiotemporal dependencies in the OD data. …”
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Risk Assessment of Geological Hazards Based on Multi-Condition Development Scenarios: A Case Study of Huangshi Town, Guangdong Province by Gonghao Duan, Hui Xia, Anqi Du, Juan Ma

“…In conclusion, incorporating rainfall as a triggering factor enhances the accuracy of the susceptibility analysis by better capturing the temporal and spatial patterns of landslide occurrences, thereby offering a more comprehensive understanding of the geological hazard development in the study area.…”
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Home range estimator method and GPS sampling schedule affect habitat selection inferences for wild turkeys by Bradley S. Cohen, Thomas J. Prebyl, Bret A. Collier, Michael J. Chamberlain

“…ABSTRACT Understanding patterns in the spatial distribution of individuals in a population is a central question in ecology. …”
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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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Quantifying Urban Vitality in Guangzhou Through Multi-Source Data: A Comprehensive Analysis of Land Use Change, Streetscape Elements, POI Distribution, and Smartphone-GPS Data by Hongjin Chen, Jingyi Ge, Wei He

“…However, existing studies often rely on single-source data or subjective evaluation methods, making it challenging to comprehensively and objectively capture the spatial-temporal characteristics of urban vitality. …”
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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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Spatiotemporal Differences in Regional Tourism Efficiency: An Empirical Study From Guangdong Province, China by Haifei Wang

“…The evolution of spatial patterns reveals that regions with similar tourism efficiency in Guangdong tend to be spatially concentrated, with strong local stability and clear spatial dependency in the change process of tourism efficiency. …”
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Tigers in their new territory: intraspecific interactions among the reintroduced tiger population in Panna Tiger Reserve, Central India by Supratim Dutta, Ramesh Krishnamurthy

“…Static interactions pertain to space use, while dynamic interactions involve spatio-temporal patterns influenced by social structure, distribution, mate selection, and density. …”
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Artificial intelligence-driven precipitation downscaling and projections over Thailand using CMIP6 climate models by Muhammad Waqas, Usa Wannasingha Humphries

“…Using the MPI-ESM1-2-LR and CAMS-CSM1-0 GCM outputs, DyNN-Mem showed better spatial and temporal characteristics of precipitation, translating into better capturing the precipitation’s spatial and temporal characteristics. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…The proposed hybrid model integrates LSTM to identify temporal features of players’ motion and CNN to recognize spatial patterns across the court. …”
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2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction by Cheng Fang, Li Wang

“…Subsequently, a 2D hypergraph convolutional network is introduced to uncover spatial correlations in OD flow patterns. The unique aspect of our 2D-HGCN lies in its dynamic hypergraph, which evolves over time, enabling the model to adaptively learn changing spatial dependencies. …”
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Generative Adversarial Network for Real‐Time Flash Drought Monitoring: A Deep Learning Study by Ehsan Foroumandi, Keyhan Gavahi, Hamid Moradkhani

“…Comparative assessments reveal the proposed GAN's superior ability to replicate SSI values over U‐Net and Naïve models. Evaluation metrics further underscore that the developed GAN successfully identifies both fine‐ and coarse‐scale spatial drought patterns and abrupt changes in the SSI temporal patterns that is important for flash drought identification.…”
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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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Emphasizing the Role of Human Activities and Extreme Floods in Riverbed Evolution: Inspiration from Hainan Island by Wei Zha, Xiaoqi Chen, Duofeng Wu, Siyang Yao, Zhaonan Li

“…The results showed that the average water depth of both rivers significantly increased, but the spatial-temporal variation patterns were different. …”
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EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

“…For fNIRS signals, spatial convolution across all channels is employed to explore activation differences among brain regions, and parallel temporal convolution combined with a gated recurrent unit (GRU) captures richer temporal dynamics of the hemodynamic response. …”
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Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…This study introduces a novel approach for leak detection using a spatial–temporal attention network (STAN) tailored for small-hole leakage conditions. …”
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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

“…Current approaches are less helpful for forecasting, however, as they do not always blend spatial and temporal patterns from different sources properly. …”
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Quantifying the Synergy Between Industrial Structure Optimization, Ecological Environment Management, and Socio-Economic Development by Zexi Xue, Zhouyun Chen, Qun Lin, Ansheng Huang

“…Additionally, drawing on the framework of evolutionary economics, the study quantified the temporal evolution and spatial characteristics of the coupling coordination level among the three subsystems based on the results of the degree of coupling coordination model. …”
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