Gamified mHealth System for Evaluating Upper Limb Motor Performance in Children: Cross-Sectional Feasibility Study by Md Raihan Mia, Sheikh Iqbal Ahamed, Samuel Nemanich

“…We applied change point detection (ie, the pruned exact linear time method), signal processing techniques, and other algorithms to calculate movement speed and accuracy from spatiotemporal parameters. …”
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Optimal Power Flow for High Spatial and Temporal Resolution Power Systems with High Renewable Energy Penetration Using Multi-Agent Deep Reinforcement Learning by Liangcai Zhou, Long Huo, Linlin Liu, Hao Xu, Rui Chen, Xin Chen

“…A heterogeneous multi-agent proximal policy optimization (H-MAPPO) DRL algorithm is introduced for multi-area power systems. …”
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Research on Road Crack Detection Based on RGB-LPC-GPR Data Fusion by Z. Wang, D. Qiu, R. Wu, R. Wu, Y. Shi, W. Niu

“…By leveraging Deep Mapping 2.0 and the RAFT algorithm, the alignment accuracy between RGB and LiDAR data was significantly improved, reducing registration error to 2.3 mm. …”
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Approximating Dynamic Equilibrium Analysis in Multi-Region Network Based on Macroscopic Fundamental Diagram by Bo Liu, Yanqing Cen, Xianghui Song

“…The proposed model is evaluated based on the high-resolution vehicle trajectory data (or connected vehicles trajectory data) from the DiDi platform collected in Chengdu, China with more than 3,000,000 GPS points during a typical workday. The evaluation results show that the proposed model can obtain the approximating traffic dynamics compared with the DUE algorithm. …”
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Superstatistical Wind Fields from Pointwise Atmospheric Turbulence Measurements by J. Friedrich, D. Moreno, M. Sinhuber, M. Wächter, J. Peinke

“…We propose a new and efficient sampling algorithm for this Gaussian scale mixture and demonstrate how such “superstatistical” wind fields can be constrained on a certain number of real-world measurement data points from a meteorological mast array.…”
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Analysis of Spatial and Temporal Shoreline Changes and Reclamation in the Qinzhou Bay and the Manila Bay by Zhang Wenliang, Guo Junli, Liu Zhuocheng, Shi Lianqiang, Gong Zhaohui, Zhang Daheng

“…This study is based on the Google Earth Engine platform, using the modified normalized difference water index, combined with the Otsu algorithm and the Digital Shoreline Analysis System, to extract the coastlines of Qinzhou Bay in China and Manila Bay in the Philippines over the past 40 years, and then analyze the spatiotemporal variation characteristics of the two coastlines and the situation of reclamation. …”
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All-Weather Precipitable Water Vapor Retrieval over Land Using Integrated Near-Infrared and Microwave Satellite Observations by Shipeng Song, Mengyao Zhu, Zexing Tao, Duanyang Xu, Sunxin Jiao, Wanqing Yang, Huaxuan Wang, Guodong Zhao

“…Ground-based observation stations can only provide PWV measurements at discrete points, whereas spaceborne infrared remote sensing enables spatially continuous coverage, but its retrieval algorithm is restricted to clear-sky conditions. …”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…In addition, compared to the baseline TCN algorithm, the proposed LTCA–TCN algorithm reduces RMSE by 1.43 m and lowers Score by 0.08. …”
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Long‐Term Monitoring of the Annual Irrigated Cropland Extent in Fragmented and Heterogeneous Arid Landscapes Using Machine Learning and Landsat Imagery by Meibao Tan, Youhua Ran, Min Feng, Guotao Dong, Deyan Du, Gaofeng Zhu, Yanyun Nian, Xin Li

“…This framework combines the k‐means algorithm with a semiautomatically trained random forest classifier for initial classification and employs the Bayesian Updating of Land Cover algorithm for subsequent postprocessing. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…The method comprises five modules: data preprocessing, basic feature processing, exploratory data analysis, key feature extraction, and data visualization. An innovative algorithm is proposed to identify which intersections vehicles pass through, effectively solving the challenge of mapping GPS points to road network nodes. …”
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Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks. by Gabriele Bleser, Dima Damen, Ardhendu Behera, Gustaf Hendeby, Katharina Mura, Markus Miezal, Andrew Gee, Nils Petersen, Gustavo Maçães, Hugo Domingues, Dominic Gorecky, Luis Almeida, Walterio Mayol-Cuevas, Andrew Calway, Anthony G Cohn, David C Hogg, Didier Stricker

“…The emphasis of this article is on the algorithms developed for the prototype: 1) fusion of inertial and visual sensor information from an on-body sensor network (BSN) to robustly track the user's pose in magnetically polluted environments; 2) learning-based computer vision algorithms to map the workspace, localize the sensor with respect to the workspace and capture objects, even as they are carried; 3) domain-independent and robust workflow recovery and monitoring algorithms based on spatiotemporal pairwise relations deduced from object and user movement with respect to the scene; and 4) context-sensitive augmented reality (AR) user feedback using a head-mounted display (HMD). …”
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Deep learning-based mapping of total suspended solids in rivers across South Korea using high resolution satellite imagery by JunGi Moon, SungMin Suh, SangJin Jung, Sang-Soo Baek, JongCheol Pyo

“…To obtain spatial data, the conventional method of point sampling TSS is a time- and labor-intensive task. …”
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AI-based tracking of fast-moving alpine landforms using high-frequency monoscopic time-lapse imagery by H. Hendrickx, H. Hendrickx, M. Elias, X. Blanch, X. Blanch, R. Delaloye, A. Eltner

“…For the latter, we use an in-house tool called GIRAFFE, which employs the AI-based LightGlue matching algorithm. This methodology was validated against GNSS and TS surveys, demonstrating its capability to provide spatially and temporally detailed velocity information. …”
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Collision Avoidance Behavior Mining Model Considering Encounter Scenarios by Shuzhe Chen, Chong Zhang, Lei Wu, Ziwei Wang, Wentao Wu, Shimeng Li, Haotian Gao

“…Addressing the existing issues of low precision and false detection in data mining algorithms, this paper proposes a collision avoidance behavior mining model considering encounter scenarios. …”
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Coordinated Interaction Strategy of User-Side EV Charging Piles for Distribution Network Power Stability by Juan Zhan, Mei Huang, Xiaojia Sun, Zuowei Chen, Zhihan Zhang, Yang Li, Yubo Zhang, Qian Ai

“…Finally, the IEEE69 node system is validated through joint simulation with actual urban areas, and the non-dominated sorting genetic algorithm II (NSGA-II) based on reference points is used for the solution. …”
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An Enhanced Seamless Localization Framework Using Spatial-temporal Uncertainty Predictor Under Obscured Indoor and Outdoor Scenes by Y. Yu, S. Bai, J. Wang, K. Tang, S. Bao, L. Chen, R. Chen

“…Existing multi-source fusion-based seamless positioning algorithms are subjected to random and highly dynamic human motion characteristics and changeable observation errors caused by the dynamic occlusions of human and buildings under urban scenes, which lead to the insufficient spatiotemporal correlation and poor accuracy of final multi-source fusion structure. …”
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A high-resolution pan-Arctic meltwater discharge dataset from 1950 to 2021 by A. Igneczi, J. L. Bamber, J. L. Bamber

“…The complete data processing algorithm, including downscaling, is fully documented and relies on open-source software. …”
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CPT-DF: Congestion Prediction on Toll-Gates Using Deep Learning and Fuzzy Evaluation for Freeway Network in China by Tongtong Shi, Ping Wang, Xudong Qi, Jiacheng Yang, Rui He, Jingwen Yang, Yu Han

“…Toll-gates are crucial points of management and key congestion bottleneck for the freeway. …”
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Augmenting estuary monitoring from space: New retrievals of fine-scale CDOM quality and DOC exchange by Alana Menendez, Maria Tzortziou

“…Satellite sensors provide a unique vantage point to capture estuarine processes at scales not feasible with in situ sampling alone; yet, remote sensing retrievals of estuarine biogeochemical dynamics remain challenging. …”
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Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling by Xueqian Gong, Zhanyuan Zhu, Li Guo, Yong Zhong, Deshun Zhang, Jing Li, Manqin Yao, Wei Yong, Mengjia Li, Yujie Huang

“…While trajectory analysis is critical, existing studies struggle to interpret multi-dimensional perception-preference data owing to spatiotemporal mismatches in multi-source datasets. This study adopted an improved Ward–K-medoids hybrid clustering algorithm to analyze 885 trajectory samples and 34,384 synchronized data points capturing emotional valence, cognitive evaluations, and dwell time behaviors via panoramic digital twins across three heritage sites (Du Fu Thatched Cottage, San Su Shrine, and Wangjiang Tower Park). …”
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