IT Equipment Automatic Configuration Method Based on Energy Consumption Prediction by CHEN Xiaojiang, HUANG Hongcong, CAI Xuelong, DING Bo

“…And then a graph structure is constructed and the spatial dependencies between features are uncovered through GCN, and periodically captures the dynamic energy consumption patterns of IT equipment. …”
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A New Evapotranspiration Model Accounting for Advection and Its Validation during SMEX02 by Yongmin Yang, Hongbo Su, Renhua Zhang, Jianjun Wu, Jianwei Qi

“…Clear spatial patterns were observed at the Landsat-based scale and are closely related to the dominant land covers, corn and soybean. …”
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A Comprehensive Method for Anomaly Detection in Complex Dynamic IoT Systems by Andrii Liashenko, Larysa Globa

“…Conventional methods – like clustering, statistical thresholds, and classical time series analysis – often fail to account for the spatial-temporal dependencies inherent in these systems, leading to high false positive rates or missed complex anomalies. …”
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Lek Habitat Selection by Sympatric Manakin Species in Northwestern Ecuador by Erin Sheehy, H. Luke Anderson, Luis Carrasco, Jorge Olivo, Domingo Cabrera, Nelson Gonzalez, Renata Ribeiro, Jordan Karubian

“…First, the interspecific hotspot hypothesis predicts that if males establish leks in locations where females are likely to be encountered (e.g., resource‐rich patches, topographic channels), then leks of ecologically similar species should cluster in geographic space due to shared patterns of resource use among species. Alternatively, the habitat partitioning hypothesis predicts leks of ecologically similar species to exhibit uniform spatial distributions to minimize competition for shared resources. …”
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GreenNav: Spatiotemporal Prediction of CO₂ Emissions in Paris Road Traffic Using a Hybrid CNN-LSTM Model by Youssef Mekouar, Imad Saleh, Mohammed Karim

“…In particular, we trained two specialized models: a CNN to extract spatial patterns and an LSTM to capture temporal dynamics. …”
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The last urban frontier—assessing hotspots of urban change associated with LCLUC in Africa by Melinda Laituri, Orion S. E. Cardenas-Ritzert, Jody C. Vogeler, Shahriar Shah Heydari, Melissa R. McHale

“…This ratio indicates that land consumption outpaces population growth where patterns of urban expansion include leapfrog development, infill, and corridors revealing a dynamic urban expansion that outpaces administrative boundaries. …”
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Estimation of Flood Inundation Area Using Soil Moisture Active Passive Fractional Water Data with an LSTM Model by Rekzi D. Febrian, Wanyub Kim, Yangwon Lee, Jinsoo Kim, Minha Choi

“…Flood estimation using satellite observations with deep learning algorithms is effective in detecting flood patterns and environmental relationships that may be overlooked by conventional methods. …”
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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…By capturing both spatial relationships and temporal patterns, the proposed framework ensures comprehensive insights into system behavior, enabling proactive decision-making and operational optimization. …”
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Dominant cixiid vector and transmission of ‘Candidatus Arsenophonus phytopathogenicus’ and ‘Candidatus Phytoplasma solani’-related strain 16SrXII-P in sugar beet in Austria by Christoph Kreitzer, Jelena Stepanović, Nikola Stanojević, Anna Rohringer, Marion Seiter, Emil Rekanović, Bojan Duduk

“…The predominance of R. artemisiae in nearly all monitored fields suggests its significant role in the pathogens’ epidemiology on a broader scale in the Pannonian plain. Spatial and temporal variations in pathogen incidence in Austrian sugar beet mirror patterns in Serbia, driven by R. artemisiae. …”
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Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network by Yifei Chen, Yang Liu, Kunlin Yang, Lanhao Li, Chao Xiong, Jinling Wang

“…Predicting global ionospheric total electron content (TEC) is critical for high-precision GNSS applications, but some existing models fail to jointly capture spatial heterogeneity and multiscale temporal trends. …”
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Satellite Monitoring of Italian Vineyards and Spatio-Temporal Variability Assessment by Alessandro Zanchin, Alessia Cogato, Marco Sozzi, Diego Tomasi, Francesco Marinello

“…However, the vintage did not affect the patterns of the within-field variability. Regarding grapevine management, training systems and the rows’ orientation were relevant boosters of variability. …”
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Using Hybrid Feature and Classifier Fusion for an Asynchronous Brain–Computer Interface Framework Based on Steady-State Motion Visual Evoked Potentials by Bo Hu, Jun Xie, Huanqing Zhang, Junjie Liu, Hu Wang

“…The method integrates filter bank common spatial patterns (FBCSPs) and filter bank canonical correlation analysis (FBCCA) to extract complementary spatial and frequency domain features from EEG signals. …”
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Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions by Fhulufhelo Walter Mugware, Caston Sigauke, Thakhani Ravele

“…This superiority is likely due to the inherent architectural attributes of CNNs, including feature extraction capabilities, spatial hierarchy learning, and resilience to spatial variability. …”
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Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer by Pakpoom Chaimook, Nirattaya Khamsemanan, Cholwich Nattee, Alice Sharp

“…Traditional flood prediction models often fail to capture spatial correlations across districts and the temporal patterns within different types of features. …”
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Doppler effects in UAV‐to‐vehicle multipath channels under 6D mobility by Junwei Bao, Zhuangzhuang Cui, Yang Miao, Qiuming Zhu, Kai Mao, Boyu Hua

“…Based on geometry and multi‐dimensional mobility patterns, a geometry‐based stochastic model framework for U2V communication is studied. …”
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Diffusion-Model-Based Downscaling of Observed Sea Surface Height over the Kuroshio Extension Since 2000 by Qiuchang Han, Xingliang Jiang, Yang Zhao, Xudong Wang

“…The downscaled data reproduce the spatial patterns and power spectra of satellite along-track measurements. …”
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Rainfall Organization and Storm Tracking in Urban Barcelona, NE Spain, Using a High-Resolution Rain Gauge Network by María del Carmen Casas-Castillo, Xavier Navarro, Raül Rodríguez-Solà

“…The aim is to identify dominant spatial patterns and understand how storms evolve in relation to local urban and topographic features. …”
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Nesting resource availability for cavity adopter birds in a tropical dry forest of Central Mexico by Jannete Medina-Estrada, Daniela Remolina-Figueroa, Patricia Ramírez-Bastida, Leopoldo D. Vázquez-Reyes

“…Nesting resources for cavity-adopter birds commonly have spatial aggregation patterns within tropical dry forests. …”
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The role of mangroves in early-life trophic interactions supporting fishery production in the Galapagos by José Pontón-Cevallos, José Pontón-Cevallos, Anna-Maria Vafeiadou, Nicolas Moity, Jorge Ramírez-González, María José Rendón, Mercy J. Borbor-Cordova, Tom Moens, Jorge R. Bermudez-Monsalve, Peter Goethals

“…Turbidity and nitrate concentration emerged as key drivers of resource partitioning, with spatial patterns more distinct within islands than between them. …”
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Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China by Xiao Li, Shaohua Wang, Liang Zhou, Yeran Sun, Jiayi Zheng, Chang Liu, Junyuan Zhou, Cheng Su, Dachuan Xu

“…By studying the evolutionary characteristics of bus networks, we can uncover their development patterns, coverage efficiency, and changes in regional balance, providing a scientific basis for sustainable urban development and the optimization of transportation resources. …”
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