Application of PSO-Optimized Twin Support Vector Machine in Medium and Long-Term Load Forecasting under the Background of New Normal Economy by Xiang He, Yan Chen, Kai Hu, Lin Wan

“…Moreover, this paper uses the algorithm to debug the filter and studies the accurate prediction of the fine model by the progressive spatial mapping algorithm and the processing of the data by the vector fitting algorithm. …”
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Vertical Velocity Diagnosed From Surface Data With Machine Learning by Jing He, Amala Mahadevan

“…We evaluate the machine learning models' sensitivities to different inputs, spatial resolution of surface fields, the addition of noise, and information about the subsurface density. …”
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SOME DYNAMIC PROCESSES AT LONGITUDINALLY-TRANSVERSE SHIFT OF THE CARGO by Leontii MURADIAN, Anzhelika SHVETS, Angela SHVETS

“…During the analytical simulation, a multibody model of the spatial oscillations of the wagon was used. …”
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The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data by Shenglong Yang, Lijun Wan, Linlin Yu, Jiashu Shi, Weifeng Zhou, Shengmao Zhang, Fei Wang, Zuli Wu, Yang Dai, Keji Jiang, Wei Fan

“…By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. …”
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Contribution of Range‐Wide and Short‐Scale Chemical Soil Variation to Local Adaptation in a Tropical Montane Forest Tree by Sebastián Arenas, Jorge Cruz‐Nicolás, Gustavo Giles‐Pérez, Josué Barrera‐Redondo, Verónica Reyes‐Galindo, Alicia Mastretta‐Yanes, Erika Aguirre‐Planter, Luis E. Eguiarte, Juan Pablo Jaramillo‐Correa

“…Our findings reveal that local adaptation in trees is the result of an intricate interaction between soil chemical properties and the local population's genetic makeup, and that the selective factors driving such adaptation greatly vary and are not necessarily predictable across spatial scales. These results highlight the need to consider edaphic variation in forest genetic studies (including common garden experiments) and in conservation, management and assisted migration programs.…”
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Rolling Bearing Fault Diagnosis Based on Recurrence Plot by Zheming Chen, Bin Xu, Zhong Zhang

“…Compared to existing methods, this approach leverages the recurrence plot technique to convert vibration signals into color images, which carry more information than grayscale images. For the prediction model, the traditional convolutional neural network is enhanced by integrating bidirectional gated recurrent unit and multi-head attention mechanism, allowing it to capture temporal features alongside the spatial features typically extracted by convolutional neural network. …”
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Electrofacies Analysis Using a Geostatistical Approach, Northern Iraq Case Study by Hussein S. Hussein

“…R2 ¼ 0.72 showed a statistically significant association between the described and anticipated lithologies. For subsequent prediction for other formations in the same well, the model with a higher coefficient of determination (0.72) might be evaluated. …”
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Signatures of High‐Latitude Waves in Observations of Geomagnetic Acceleration by Rodrigo Chi‐Durán, Margaret S. Avery, Bruce A. Buffett

“…Magnetic Rossby waves produce a high‐latitude response with suitable phase velocities. However, the spatial complexity of the prediction is not compatible with the observations. …”
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Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features by Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou

“…Secondly, the 2D CNN-Transformer predicted LAI and the Sentinel-2 LAI are input into the Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion (EDCSTFN) model to further improve the accuracy. …”
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Role of long-term geological processes in shaping flood-prone areas by Rei Itsukushima

“…Flood-prone areas are formed by geomorphological processes across various temporal and spatial scales. Analyzing data from 432 flood events since the 17th century, the study shows that geological events play a key role in predicting flood-prone areas, with impacts varying by river basin characteristics. …”
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A novel exponentially fitted finite-difference method for time-fractional singularly perturbed convection–diffusion problems with variable coefficients by Worku Tilahun Aniley, Gemechis File Duressa

“…The validity of the proposed method is illustrated through model examples. The numerical results match the theoretical predictions and demonstrate that the proposed method is more accurate than some recent existing methods.…”
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Forensic of video object removal tamper based on 3D dual-stream network by Lizhi XIONG, Mengqi CAO, Zhangjie FU

“…In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video frames.Secondly， the improved 3D convolution （C3D） network was used as the feature extractor of the dual-stream network to extract the high-frequency information and low-frequency information from the high-frequency frame and the original video frame respectively.Finally， through compact bilinear pooling （CBP） layer， two sets of different feature vectors were fused into one set of feature vectors for classification prediction.The experimental results demonstrate that the classification accuracy of the proposed method in all video frames has an advantage in SYSU-OBJFORG dataset， which makes the temporal detection and location of object removal tampered video more accurate.…”
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The Multiphysics Analysis and Suppression Method for the Electromagnetic Noise of Permanent-Magnet Motors Used in Electric Vehicle by Junhong Dong, Hongbin Yin, Guohao Li, Xiaojun Wang, Mingyang Luo

“…The spatial order and frequency characteristics of the electromagnetic force are analyzed. …”
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Visibility Aware In-Hand Object Pose Tracking in Videos With Transformers by Phan Xuan Tan, Dinh-Cuong Hoang, Eiji Kamioka, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Xuan-Tung Dinh, Tran Thi Thuy Trang, Xuan-Duong Pham, Nhat-Linh Nguyen, Thu-Uyen Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Son-Anh Bui

“…Our approach utilizes transformers to capture both spatial relationships within each frame and temporal dependencies across consecutive frames, allowing the model to aggregate information over time and improve pose predictions. …”
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Drought risks are projected to increase in the future in central and southern regions of the Middle East by Younes Khosravi, Taha B. M. J. Ouarda

“…Abstract Drought prediction is vital for sustaining water security in regions highly exposed to climate change. …”
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Study on the simulation of bridge deformation in a mining subsidence area by Chi Zhang, Kan Wu, Shengxiang Huang, Lingai Li, Xiaokang Rao

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Mechanical feedback and robustness of apical constrictions in Drosophila embryo ventral furrow formation. by Michael C Holcomb, Guo-Jie Jason Gao, Mahsa Servati, Dylan Schneider, Presley K McNeely, Jeffrey H Thomas, Jerzy Blawzdziewicz

“…Here, we quantitatively analyze the constriction patterns preceding ventral furrow formation and find that they are consistent with the predictions of our active-granular-fluid model of a monolayer of mechanically coupled stress-sensitive constricting particles. …”
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The BIRDIES Experiment: Measuring Beryllium Isotopes to Resolve Dynamics in the Stratosphere by Sonia Wharton, Alan J. Hidy, Thomas S. Ehrmann, Wenbo Zhu, Shaun N. Skinner, Hassan Beydoun, Philip J. Cameron-Smith, Marisa Repasch, Nipun Gunawardena, Jungmin M. Lee, Ate Visser, Matthew Griffin, Samuel Maddren, Erik Oerter

“…While the spatial patterns in rainfall suggested some evidence for overshooting convection, inter-event temporal variability was clearly observed and predicted with good agreement using the 3D chemical transport model GEOS-CHEM.…”
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Time-Series Mapping of PM10 Concentration Using Multi-Gaussian Space-Time Kriging: A Case Study in the Seoul Metropolitan Area, Korea by No-Wook Park

“…To account for the spatiotemporal autocorrelation structures of monitoring data and to model the uncertainties attached to the prediction, conventional multi-Gaussian kriging is extended to the space-time domain. …”
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Dose–Response Functions for Assessing Corrosion Risks to Urban Heritage Materials from Air Pollution Under Climate Change: Insights from Europe and China by Zhe Bai, Yu Yan

“…European initiatives have refined DRFs to incorporate multi-pollutant and climate interactions, providing spatial risk maps and informing pollution control measures. …”
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