Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

“…Our framework employs a parallel feature extraction module that simultaneously captures temporal dynamics and spatial correlations, enabling improved forecasting accuracy. …”
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Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer by Ruowu Wu, Yandan Liang, Lianlei Lin, Zongwei Zhang

“…However, the existing data-based weather prediction methods cannot adequately capture the spatial and temporal evolution characteristics of the target region, which makes it difficult for the existing methods to meet practical application requirements in terms of efficiency and accuracy. …”
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GTN-GCN: Real-Time Traffic Forecasting Using Graph Convolutional Network and Transformer by Sadia Naj Jinia, Sumaiya Binte Azad, Rima Akter, Taivan Reza Dipto, Md. Khaliluzzaman

“…The DTM dynamically updates graph structures based on real-time traffic conditions, while GATs focus on identifying critical spatial relationships. GRUs efficiently capture temporal dependencies, and the transformer model captures long-term sequential patterns, providing a comprehensive framework for real-time traffic forecasting. …”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…Despite a gradual reduction in disparities in green visibility, a spatial mismatch persisted between UGS growth and population distribution, leading to uneven patterns in UGS equity. …”
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Triggering mechanics and early warning for snowmelt-rainfall-induced loess landslide by Kaidierding Wulamu, Zizhao Zhang, Qianli Lv, Guangming Shi, Yanyang Zhang, Shichuan Liang

“…Instruments with higher spatial resolution can more effectively identify unstable areas within a landslide, while instruments with higher temporal resolution can provide detailed time-series deformation data. …”
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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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Investigating the urban eco-environmental quality utilizing remote sensing based approach: evidence from an industrial city of Eastern India by Sharmistha Mondal, Kapil Kumar Gavsker

“…Hence, to restore biodiversity and ensure regional sustainability, it is necessary to immediately evaluate the eco-environmental quality of urban areas. …”
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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 study aims to offer valuable insights into the temporal and spatial patterns of air quality in India, thereby aiding environmental policymakers, urban planners, and researchers in formulating effective strategies for air quality management. …”
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Developing an early warning land degradation indicator based on geostatistical analysis of Ecosystem Functional Types dynamics by Cristina Domingo-Marimon, Małgorzata Jenerowicz-Sanikowska, Lluís Pesquer, Marek Ruciński, Michał Krupiński, Edyta Woźniak, Anna Foks-Ryznar, Mohammad Abdul Quader

“…Firstly, EFA analysis characterized vegetation productivity and seasonality, revealing temporal trends and spatial patterns of change. Secondly, EFTs served as indicators of change levels. …”
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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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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…Plant functional types were useful at the site level for the improved representation of spatial patterns but had a significant leverage on upscaling results – i.e., having a disproportionate impact on the spatial patterns, especially for XGBoost, but less for the LSTM model.…”
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Variability of Rainfall and the Cropping Season of a Tropical Dry Zone River Basin: A Case Study in the Malwathu Oya River Basin in Sri Lanka by N. S. Abeysingha, S. D. Madurapperuma Arachchige, Ram L. Ray, L. P. Muthuwatta

“…The temporal and spatial rainfall variability impacts water resource management, agricultural productivity, and ecosystem health in river basins. …”
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Cerebral Amyloid Angiopathy Is Associated With Higher R2 Relaxation Rate: An MRI and Pathology Study by Md Tahmid Yasar, Arnold M. Evia, Mahir Tazwar, Sue E. Leurgans, David A. Bennett, Julie A. Schneider, Konstantinos Arfanakis

“…This study tested the hypothesis that CAA is associated with R2, extracted the spatial pattern of CAA‐related R2 abnormalities, and evaluated R2 at different CAA severity levels in a large number of community‐based older adults. …”
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Assessing the potential for traffic carbon emission reductions through residential travel mode shifts: insights from massive vehicle trajectory data and scenario simulations by Shaoying Li, Shaoli Li, Shuyuan Xu, Hanwen Xu, Xuanting Chen, Quan Mu, Zhangzhi Tan

“…This framework is designed to evaluate the impact of shifts in residential travel modes on carbon emissions at a fine spatial and temporal scale. …”
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Carbon use efficiency of alpine grasslands affected by grazing exclusion and local environmental context in Tibet, China by Yunfei Feng, Jianshuang Wu, Meng Li, Ben Chen, Minyahel Tilahun, Xianzhou Zhang

“…We considered soil properties, topographical features, and climate conditions as potential predictors to explain the spatial patterns and temporal dynamics of CUE across these grasslands. …”
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A Simulation Study of Low-Intensity Focused Ultrasound for Modulating Rotational Sense Through Acoustic Streaming in Semicircular Canal: A Pilot Study by Sion Cha, Wooksung Kim

“…Existing vestibular stimulation methods, such as galvanic vestibular stimulation (GVS), caloric vestibular stimulation (CVS), and magnetic vestibular stimulation (MVS), face limitations in spatial and temporal resolution, with unclear mechanisms. …”
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Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

“…The proposed methodology uses convolutional neural networks (CNN) and recurrent neural networks (RNN) to extract the spatial and temporal features. We propose to employ an attention mechanism based BiGRU. …”
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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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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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Landsat Time Series Reconstruction Using a Closed-Form Continuous Neural Network in the Canadian Prairies Region by Masoud Babadi Ataabadi, Darren Pouliot, Dongmei Chen, Temitope Seun Oluwadare

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