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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Response mechanism of ecological environment quality variation to multifactor coupling at Spatiotemporal scales by Xi Chen, Yuqing Fang, Yufeng He, Wen Dai, Ling Jiang, Hong Wei, Dong Wang, Chun Wang

“…At the temporal scale, EEQ levels were predominantly influenced by policy measures, while spatially topography and human activities were identified as the primary drivers of the EEQ changes. …”
Get full text

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.…”
Get full text

Choroidal thickness in patients with coronary artery disease. by Meleha Ahmad, Patrick A Kaszubski, Lucy Cobbs, Harmony Reynolds, Roland Theodore Smith

“…Within the CAD group, CTh was significantly lower temporally (P = 0.007) and nasally (P<0.001) than subfoveally, consistent with the pattern observed in controls. …”
Get full text

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. …”
Get full text

Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…A graph attention network (GAT) is first used to model the spatial dependencies between sensors, capturing the dynamic patterns of adjacent nodes. …”
Get full text

A Comprehensive Dataset of Surface Water Quality Spanning 1940-2023 for Empirical and ML Adopted Research by Md. Rajaul Karim, M. M. Mahbubul Syeed, Ashifur Rahman, Khondkar Ayaz Rabbani, Kaniz Fatema, Razib Hayat Khan, Md Shakhawat Hossain, Mohammad Faisal Uddin

“…This dataset can support meta-analysis of water quality models and can facilitate Machine Learning (ML) based data and model-driven investigation of the spatial and temporal drivers and patterns of surface water quality at a cross-regional to global scale.…”
Get full text

Coastal Storm – Surge Combination Risk Identification and Resilience Planning Based on Supply and Demand Assessment of Flood Regulation Ecosystem Services: A Case Study of Fujian D... by Jian TIAN, Tianyu XIU, Suiping ZENG

“…Globally, urban stormwater management is transitioning toward ecological solutions, emphasizing the role of flood regulation ecosystem services (FRES) as a sustainable and adaptive strategy for mitigating storm-surge disasters. This research evaluates the spatial-temporal dynamics of FRES supply and demand in coastal urban agglomerations, identifies critical regions with storm – surge combination risk, prioritizes planning interventions, and proposes actionable strategies to enhance urban flood resilience.MethodsFocusing on the Fujian Delta urban agglomeration, an analytical framework is developed to assess FRES supply and demand. …”
Get full text

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

“…The feature map fusion attention mechanism mines the correlation between action features from each channel, assigning higher weights to more relevant features and thereby enhancing the discriminative power of the extracted action representation. A temporal convolution network captures temporal dependencies within the extracted action features, distinguishing between actions with similar spatial characteristics but distinct temporal patterns. …”
Get full text

Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

“…SAM 2’s fixed temporal window approach indiscriminately retains historical frames, failing to account for frame quality or dynamic motion patterns. …”
Get full text

Comparison of BARRA and ERA5 in replicating mean and extreme precipitation over Australia by K. K. W. Cheung, F. Ji, F. Ji, N. Nishant, J. Teng, J. Bennett, D. L. Liu

“…Both datasets reproduce daily timescale probability density distributions and spatial patterns of mean precipitation well with minor biases. …”
Get full text

Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…The model synergizes CNNs for hierarchical spatial feature extraction and SNNs for biologically inspired temporal dynamics processing. …”
Get full text

Extreme precipitation simulation capability of CMIP6 models and their future spatiotemporal evolution: Case study in Poyang Lake Basin, China by Yinxin Ge, Shanghong Zhang, Weiyi Zhou, Linyang Zhao, Qingqing Fang

“…This method demonstrably provides better simulations of interannual distribution and spatial pattern characteristics compared to single models and simple multi-model averages. …”
Get full text

Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…Two datasets, Geo-Life Log (with location data) and Time-Life Log (without location data), were constructed to evaluate the impact of spatial information on classification performance. …”
Get full text

Estimation of Cloud Water Resources in China by Jie Yu, Yuquan Zhou, Miao Cai, Jianjun Ou

“…A random forest model, coupled with a fuzzy logic approach, is employed to estimate future cloud water resources, as well as their spatial distribution and temporal trends. The results indicate that the random forest model effectively captures the relationship between atmospheric physical variables and cloud water resources, demonstrating strong agreement with historical data. …”
Get full text

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. …”
Get full text