Anomaly Detection in Spatiotemporal Data from Fiber Optic Distributed Temperature Sensing for Outdoor Fire Monitoring by Haitao Bian, Xiaohan Luo, Zhichao Zhu, Xiaowei Zang, Yu Tian

“…Results showed that, compared to AE and VAE models handling spatial or temporal data, the CNN-AE demonstrated superior anomaly detection performance and strong robustness when applied to spatiotemporal data. …”
Get full text

RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8 by Yifan Wei, Jun Tao, Wenjun Wu, Donghua Yuan, Shunzhi Hou

“…Third, Efficient Localization Attention (ELA) is added to reduce the interference of irrelevant factors on prediction. Fourth, an Involution module is introduced to effectively capture spatial long-range relationships and improve recognition accuracy. …”
Get full text

Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park by WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong

“…This indicated that the model had a high explanatory power and prediction accuracy for the Shannon-Wiener data. …”
Get full text

Load aggregator adjustable capability forecasting based on graph convolution neural network by DONG Lingrui, WU Binyuan

“…Through the message transmission process on the graph, the response characteristics of different clusters could be shared, and both the historical data of the targeted node and other nodes are effectively used to improve the prediction accuracy from both spatial and temporal aspects. …”
Get full text

Long-term exposure to PM2.5 and cardiorespiratory mortality: an ecological small-area study in five cities in Colombia by Diana Marín, Víctor Herrera, Juan Gabriel Piñeros-Jiménez, Oscar Alberto Rojas-Sánchez, Sonia C. Mangones, Yurley Rojas, Jhon Cáceres, Dayana M. Agudelo-Castañeda, Néstor Y. Rojas, Luis Carlos Belalcazar-Ceron, Jonathan Ochoa-Villegas, María Leonor Montes-Mejía, Veronica Maria Lopera-Velasquez, Sanit María Castillo-Navarro, Alexander Torres-Prieto, Jill Baumgartner, Laura A. Rodríguez-Villamizar

“…Cardiorespiratory mortality spatially clustered in some Colombian cities and was associated with long-term exposure to PM2.5 in urban areas where the LUR models had the highest predictive accuracy. …”
Get full text

The effect of nutrient transport downstream on food web stability in an experimental freshwater meta-ecosystem by Xueqi Wang, Megan Braun, Ella McGuigan, Kevin S. McCann, Robert H. Hanner, John M. Fryxell

“…Recent spatial nutrient transport theory suggests that accumulation of nutrients downstream in riverine systems can amplify the magnitude of phytoplankton and zooplankton blooms and/or lead to competitive replacement of phytoplankton by less edible species, such as cyanobacteria. …”
Get full text

A Review of Artificial Intelligence and Deep Learning Approaches for Resource Management in Smart Buildings by Bibars Amangeldy, Timur Imankulov, Nurdaulet Tasmurzayev, Gulmira Dikhanbayeva, Yedil Nurakhov

“…This review shows that AI-driven controllers—especially deep-reinforcement-learning agents—deliver median energy savings of 18–35% for HVAC and other major loads, consistently outperforming rule-based and model-predictive baselines. The evidence further reveals a rapid diversification of methods: graph-neural-network models now capture spatial interdependencies in dense sensor grids, federated-learning pilots address data-privacy constraints, and early integrations of large language models hint at natural-language analytics and control interfaces for heterogeneous IoT devices. …”
Get full text

Cannabis pollen dispersal across the United States by Manu Nimmala, Shane D. Ross, Hosein Foroutan

“…As a step towards assessing hemp cross-pollination risk, this study characterizes the seasonal and spatial patterns in windborne hemp pollen dispersal spanning the conterminous United States (CONUS). …”
Get full text

Daily-scale dataset of highly dynamic water of Poyang Lake by Yuqing Wang, Shuai Wang, Tingsong Gong, Haifeng Tian, Yaochen Qin, Yijie Ma, Xueyue Liang, Jie Pei, Li Wang

“…Finally, we realized the spatial inversion of the predicted area and constructed a daily-scale water dataset of Poyang Lake (2016–2021). …”
Get full text

Space Deficits in Parkinson’s Disease Patients: Quantitative or Qualitative Differences from Normal Controls? by D. Natsopoulos, M.-S. Bostantzopoulou, Z. Katsarou, G. Grouios, G. Mentenopoulos

“…Twenty-seven patients with idiopathic Parkinson's disease (PD) and the same number of normal controls (NCs) were studied on a test battery including five conceptual categories of spatial ability. The two groups of subjects were matched for age, sex, years of education, socioeconomic status and non-verbal (Raven Standard Progressive Matrices) intelligence. …”
Get full text

Deep Learning-Based Infrared Image Segmentation for Aircraft Honeycomb Water Ingress Detection by Hang Fei, Hongfu Zuo, Han Wang, Yan Liu, Zhenzhen Liu, Xin Li

“…Through rigorous experimentation, our model surpasses existing benchmarks, yielding a commendable 22.44% reduction in computational effort and a substantial 38.89% reduction in parameter count. …”
Get full text

Toward a Multidecadal SAR Analysis of Sea Ice Types in the Atlantic Sector of the Arctic Ocean by Wenkai Guo, Jack Landy, Johannes Lohse, Anthony P. Doulgeris, Malin Johansson, Torbjorn Eltoft, Polona Itkin, Shiming Xu

Get full text

Urban expansion, economic development, and carbon emissions: Trends, patterns, and decoupling in mainland China’s provincial capitals (1985–2020) by Jiahui Zhao, Wei Chen, Zixuan Liu, Wei Liu, Keyan Li, Bei Zhang, Yonggen Zhang, Le Yu, Tetsuro Sakai

Get full text

The effect of slab touchdown on anticrack arrest in propagation saw tests by P. L. Rosendahl, J. Schneider, G. Bobillier, F. Rheinschmidt, B. Bergfeld, A. van Herwijnen, P. Weißgraeber

“…<p>Understanding crack phenomena in the snowpack and their role in avalanche formation is imperative for hazard prediction and mitigation. Many studies have explored how structural properties of snow contribute to the initial instability of the snowpack, focusing particularly on failure initiation within weak snow layers and the onset of crack propagation. …”
Get full text

Measured spectrum environment map dataset with multi-radiation sources in urban scenariosMendeley Data by Haotian Zou, Qiuming Zhu, Qianhao Gao, Jie Wang, Zhipeng Lin, Yang Huang, Qihui Wu, Weizhi Zhong

“…Its applications include the verification of spectrum map completion algorithms, wireless channel modelling, deep learning-driven signal prediction, and the optimization of Wi-Fi/cellular networks.…”
Get full text

Condition monitoring of heterogeneous landslide deformation in spatio-temporal domain using advanced graph attention network by Huajin Li, Yu Zhu, Qiang Xu, Ran Tang, Chuanhao Pu, Yusen He

“…Field observations reveal that deformation processes are typically uneven and heterogeneously distributed across slope bodies, creating dynamic uncertainties that challenge prediction models. This research aims to develop an enhanced spatial-temporal monitoring system capable of capturing these complex deformation patterns. …”
Get full text

The Integration of Land Use Planning and the Varied Responses of Coupled Human–Natural Systems: A Case Study of Changning County in Southwest China by Yanlan Xie, Xiaobo Liu, Xiaoshuang Zhuo, Shaoyao Zhang, Hao Zhang

“…The results are as follows: (1) The TG was classified into five categories that were stratified according to the coupling intensity and orientation of the socioeconomic system and natural ecosystems in Changning County. (2) The transition type with the most complex socio-ecological coupling was the type of semi-socioeconomic process–semi-natural ecological process, occupying 32.6% (309.4 km²) of the county’s total area in 2000 and demonstrating the most pronounced spatial dynamics, exhibiting a reduction of 78.6 km² during the study period. (3) Negative impacts on TG dynamics were observed for the conversion of ecological space into agricultural production space (<i>p</i> < 0.01; R² > 0.24) and the dynamic degree of PLE transformations (<i>p</i> < 0.01; R² > 0.13). (4) The impacts of trends in PLE on the TG varied significantly across temporal phases, whereas the CONTAG index exhibited consistently non-significant effects throughout all study periods. …”
Get full text

Mitigating Risks in Hospital Facilities—An Analysis of the Relationship Between Healthcare Risks and the Built Environment: A Literature Review and Survey in the Italian Scenario by Beatrice Pattaro, Michele Dolcini, Andrea Brambilla, Stefano Capolongo

“…The results reveal critical gaps in implementation, particularly in spatial flexibility, environmental monitoring, and antimicrobial surfaces. …”
Get full text

High-Speed Railway Planning for Sustainable Development: The Role of Length Between Conventional Line and Straight Length by Francesco Russo, Corrado Rindone, Giuseppe A. Maiolo

“…The research problem that arises is to analyze the high-speed lines built in order to verify, given a pair of extreme terminals, how much the length is reduced by passing from a conventional line to a high-speed line, and to verify how this length is getting closer and closer to the distance as the crow flies. The reduction of spatial distance produces direct connections between two territories, making the railway system (HSR) more competitive compared to other transport alternatives (e.g., air travel). …”
Get full text

Dynamic land use efficiency and human-land relationship in traditional industrial cities by Xianglong Kong, Xianglong Kong, Yutong Wu, Peng Cui, Yiwen Sun, Guangpu Wei

“…Studying the dynamic land utilization efficiency during urbanization is crucial for understanding the human-land relationship in cities facing economic decline.MethodsUsing land utilization and population data from 2000 to 2020, a dynamic land utilization efficiency index was developed to identify patterns in land utilization dynamics at the district and county level and assess the coordination of human-land relationships at the municipal level. The spatial structural relationships among districts and counties are analysed using the Getis-Ord Gi* statistical model, while the co ordination mechanisms of human-land interactions are explored through the Kaya identity and the Logarithmic Mean Divisia Index (LMDI).ResultsThe results demonstrate that 40.9% of counties suffer from low land utilization efficiency. 57.6% of cities experience simultaneous population decline and expansion of urban-rural construction land. …”
Get full text