Feature Recognition of Human Motion Behavior Based on Depth Sequence Analysis by Guangyong Zhao

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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…The framework integrates multi-modal data sources and applies temporal graph convolutional networks, ensuring both scalability and adaptability to diverse tasks. …”
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“Pharmacological” analysis of atrial fibrillation maintenance mechanism: reentry, wavelets, or focal? by Alexander Burashnikov

“…The conducted analysis inclines toward the focal source as the primary mechanism of AF maintenance.…”
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Neural network analysis of the visual system functional transformation in normal aging by O.I. Rozanova, I.M. Mikhalevich

“…A comprehensive assessment of the anatomical and optical eye parameters, indicators of monocular sensory reception and binocular interaction was carried out. 90 individual indicators of the visual system were used for neural network analysis with pattern recognition in a genetic algorithm with reduced dimensionality and step-by-step discriminant analysis. …”
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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…This environment platform was selected for its ability to integrate discrete event and system dynamics methods, enabling a multidimensional analysis of audit stage interactions. …”
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Conceptual and categorial analysis of the term “time perspective” in Russian and foreign psychology by Natalia Yu. Unina-Pakulova, Ilya A. Sidorenko

“…The presented approaches relate the phenomenon of the temporal perspective of personality to intra-personal constructs, the need-motivational sphere of personality, cognitive constructs, the sphere of perception, cognitive abilities, etc. …”
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Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling by Chuqiao Han, Binbin Lu, Jianghua Zheng, Danlin Yu, Shudan Zheng

“…In addition to evaluating the data quality, the use of OSM data quality index factors in economic modeling at different spatial scales in China was explored by using a geographic information system (GIS) analysis method and a geographically and temporally weighted regression (GTWR) model. …”
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Multi-scale approaches for high-speed imaging and analysis of large neural populations. by Johannes Friedrich, Weijian Yang, Daniel Soudry, Yu Mu, Misha B Ahrens, Rafael Yuste, Darcy S Peterka, Liam Paninski

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Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis by Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou

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Vulnerability analysis of the economic-social-ecological complex system of Island tourism destinations. by Mingya Zhang, Yetao Zhou, Senyao Sang

“…It analyzes the spatial and temporal heterogeneity characteristics of the complex system`s vulnerability and the obstacle factors in the four administrative regions that make up the case site. …”
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Intelligent analysis algorithm for power engineering data based on improved BiLSTM by Yuanyuan Xu, Jiapeng Yang, Xin Cai

“…This paper introduces an attention mechanism to improve BiLSTM’s ability to capture long time series, integrate the time series of power engineering data, and design an intelligent analysis algorithm that adapts to multi-dimensional features. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Key insights are drawn from the use of EMD in detecting trends, identifying temporal variation features, and improving model predictions for hydrological data across different spatial and temporal scales. …”
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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines by Yurim Choi, Inwhee Joe

“…FAMFT overcomes the limitations of conventional CNN- and RNN-based models through three key innovations: 1) Multi-scale feature extraction via parallel analysis of fine-, intermediate-, and long-term temporal scales, 2) Selective feature enhancement through a frequency gating mechanism, and 3) An interpretable fault diagnosis framework based on SHAP (SHapley Additive Explanations). …”
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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

“…Furthermore, ablation experiments reveal that the synergistic effects of the convolutional network, Bi-LSTM, and attention mechanism significantly improve prediction accuracy and model robustness. Further analysis shows that the optimized model achieves a correlation of 0.829 between overall magnitude and energy consumption, validating its ability to capture complex motion features. …”
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大學生時間觀後設認知與學業情緒的關聯研究：檢驗目的感與學業韌性之序列中介效果 The Relationship Between Temporal Metacognition and Academic Emotions Among College Students: The Serial Mediating Effects of Sense of Purpos... by 呂家賢 Chia-Hsien Lu, 陳慧娟 Huey-Jiuan Chen

“…Thus, we hypothesized that college students with better temporal metacognition possess the ability to generate positive academic emotions while reducing the likelihood of experiencing negative academic emotions. …”
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Are AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia by Jorge Baño-Medina, Agniv Sengupta, James D. Doyle, Carolyn A. Reynolds, Duncan Watson-Parris, Luca Delle Monache

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HGTFM: Hierarchical Gating-Driven Transformer Fusion Model for Robust Multimodal Sentiment Analysis by Chengcheng Yang, Zhiyao Liang, Dashun Yan, Zeng Hu, Ting Wu

“…This approach effectively enhances the model ability to manage long-range temporal dependencies. …”
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Soil moisture estimation with microwave remote sensing: a systematic review and meta-analysis by Nuo Xu, Andre Daccache, Arman Ahmadi, Derek Houtz, Francisco Puig Perez-Barquero

“…Microwave remote sensing emerged as a valuable technique for monitoring soil moisture (SM) due to the lower sensitivity to weather conditions and the ability to penetrate vegetation and surface layers. …”
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Multitemporal Spatial Analysis for Monitoring and Classification of Coal Mining and Reclamation Using Satellite Imagery by Koni D. Prasetya, Fuan Tsai

“…The primary limitation of this approach lies in the use of medium-resolution satellite imagery, which may result in lower precision compared to direct field measurements; however, the ability to integrate historical data with consistent temporal coverage makes it a viable alternative for large-scale and long-term monitoring.…”
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Nurses' occupational fatigue level and risk factors: A systematic review and meta-analysis. by Rong Pi, Yunfang Liu, Rong Yan, Zong De, Yali Wan, Yi Chen, Zihan He, Fang Liu, Yan Wang, Suyun Li

“…The PRISMA guidelines were followed in the reporting of the meta-analysis and systematic review. The meta-analysis was conducted using Stata 18.0 software, employing a random-effects model to pool the mean score and standard deviation of the Occupational Fatigue Exhaustion Recovery (OFER) scale. …”
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