Exploring the Relationship between Spatiotemporal Distribution of Urban Vibrancy and Neighborhood Attributes by Coupling Multi-Source Data: A Case of Nanshan District in Shenzhen by Liu Feng, Tang Zhong, Zhang Liang, Yu Lingmin, Liu Ke

“…Systematically incorporating a multidimensional set of neighborhood factors, including human vision, functionality, morphology, location, and street configuration, and utilizing spatial regression models in resonance with advanced algorithms facilitates a more profound comprehension of the spatiotemporal differentiation of urban vibrancy within urban spaces and the driving or inhibiting factors involved. …”
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A Space-Time Plume Algorithm to Represent and Compute Dynamic Places by Brent Dell, May Yuan

“…Unlike conventional density-based methods, Space-Time Plume dynamically adapts spatial reachability based on the underlying spatial structure and other zone-based parameters across multiple temporal intervals to capture hierarchical plume dynamics. The algorithm tracks plume progression, identifies spatiotemporal relationships, and reveals the emergence, evolution, and disappearance of event-driven places. …”
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Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

“…Given this, this study optimizes the training process of athletes' motion control based on spatiotemporal graph convolutional networks and dynamic time-warping algorithms. …”
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Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

“…Subsequently, the Bernaola-Galvan segmentation algorithm was proposed to divide the periods of drought change and the newly developed extreme-point symmetric mode decomposition to analyze the periodic drought patterns. …”
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Multi-Modal Excavator Activity Recognition Using Two-Stream CNN-LSTM with RGB and Point Cloud Inputs by Hyuk Soo Cho, Kamran Latif, Abubakar Sharafat, Jongwon Seo

“…It processes point clouds and RGB images using the two-stream long short-term memory convolutional neural network (CNN-LSTM) method to extract spatiotemporal features, enabling the recognition of excavator activities. …”
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Vehicle Motion State Prediction Method Integrating Point Cloud Time Series Multiview Features and Multitarget Interactive Information by Ruibin Zhang, Yingshi Guo, Yunze Long, Yang Zhou, Chunyan Jiang

“…A vehicle motion state prediction algorithm integrating point cloud timing multiview features and multitarget interaction information is proposed in this work to effectively predict the motion states of traffic participants around intelligent vehicles in complex scenes. …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…By comparing these algorithms, we can clarify the advantages and adaptability of different algorithms in different scenarios. …”
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A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario by Tianyi Li, Shuanglin Li, Zihan Xu, Nizar Faisal Alkayem, Qiao Bao, Qiang Wang

“…A data acquisition scheme that integrates LiDAR and a binocular depth camera, implementing the FAST-LIO algorithm, is proposed to achieve the spatiotemporal synchronization and fusion of sensor data. …”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. A three-dimensional skeleton sequence is constructed through spatiotemporal sparse sampling, and the missing areas in the depth data are effectively repaired using matrix filling techniques. …”
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Flow Field Analysis and Development of a Prediction Model Based on Deep Learning by Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu

“…The model demonstrated exceptional modelling capabilities in handling spatiotemporal features. The proposed model was validated by comparing its predictions with those predicted by the MIKE21 flow model of the ocean area within proximity to Dalian Port (which used a commercial numerical model), as well as those predicted by other deep learning algorithms. …”
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Quad-Tree-Based Driver Classification Using Deep Learning for Mild Cognitive Impairment Detection by Seyedeh Gol Ara Ghoreishi, Charles Boateng, Sonia Moshfeghi, Muhammad Tanveer Jan, Joshua Conniff, Kwangsoo Yang, Jinwoo Jang, Borko Furht, David Newman, Ruth Tappen, Monica Rosselli, Kelley L. Jackson

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Based on the improved SCGM(1,1)c and WIV rainfall landslide susceptible area prediction model by Qian Zhang, Shujie Cao, Yanliang Du, MingYuan Du, Yixuan Zhao, Yaoqi Nie

“…After susceptibility zoning, historical landslide frequencies indicate that 92.4% of landslide points are located above the high susceptibility zone, and the AUC value of the model obtained from the ROC curve is 0.8654, indicating that the weighted information model has good accuracy in predicting susceptibility zoning. …”
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Assimilation of the total electron content obtained from GNSS to a model of the ionosphere using a hierarchical Bayesian network by Tang Jun, Hu Jiacheng, Zhang Wei, Fan Cihang, Zhou Qiangbo

“…We evaluate the HBN assimilation effect through single-frequency precise point positioning (PPP). The results demonstrate that the HBN algorithm closely aligns with the BDS GEO TEC, regardless of geomagnetic conditions. …”
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Multi-Source Data-Driven Local-Global Dynamic Multi-Graph Convolutional Network for Bike-Sharing Demands Prediction by Juan Chen, Rui Huang

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Analysis of Congestion-Propagation Time-Lag Characteristics in Air Route Networks Based on Multi-Channel Attention DSNG-BiLSTM by Yue Lv, Yong Tian, Xiao Huang, Haifeng Huang, Bo Zhi, Jiangchen Li

“…First, to account for the interdependency across segments in air route networks, we construct a point–line congestion state assessment model and introduce the FCM-WBO algorithm for precise congestion state identification. …”
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO by Xiaohu Liang, Shuguo Pan, Shitong Du, Baoguo Yu, Shuang Li

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Foreshock migration preceding the 2016 Mw 7.0 Kumamoto earthquake, Japan by Aitaro Kato, Jun'ichi Fukuda, Shigeki Nakagawa, Kazushige Obara

“…These migrations are interpreted to result from aseismic slip triggered by the foreshock, propagating toward the nucleation point of the subsequent Mw 7.0 main shock rupture. …”
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Discovery of Large Methane Emissions Using a Complementary Method Based on Multispectral and Hyperspectral Data by Xiaoli Cai, Yunfei Bao, Qiaolin Huang, Zhong Li, Zhilong Yan, Bicen Li

“…Employing a matched filtering algorithm based on EnMAP and AHSI, we detect and extract methane plumes within emission hotspots in China and the United States, and estimate the emission flux rates of individual methane point sources using the IME model. …”
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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…The presented results reveal the benefits of applying machine learning algorithms to investigate working memory dynamics.…”
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A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping by Xu Zhang, Xin Liu, Xiang Zhang, Aminjon Gulakhmadov, Jiefeng Wu, Xihui Gu, Won-Ho Nam, Panda Rabindra Kumar, Veber Afonso Figueiredo Costa, Mahlatse Kganyago, Berhanu Keno Terfa, Wenying Du, Chao Wang, Peng Wang, Jing Yuan, Nengcheng Chen

“…First, the ESTARFM spatiotemporal fusion algorithm was applied to combine high-resolution MODIS data with long-term GLASS data, generating daily SM driving variables (NDVI and LST) at a 1-km resolution. …”
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