A Data-Driven Scalable Method for Profiling and Dynamic Analysis of Shared Mobility Solutions by Bogdan Toader, Assaad Moawad, Thomas Hartmann, Francesco Viti

“…In this paper, a scalable method for dynamic profiling is introduced, which allows the extraction of users’ travel behaviour and valuable knowledge about visited locations, using only geolocation data collected from mobile devices. …”
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Diagnostic efficacy of data mining method based on multimodal ultrasound for papillary thyroid carcinoma by Changyu Xu, Liwei Zhang, Qiming Zhang, Tianqi Wang, Yuqing Wu, Jinlai Yao, Xiaoqiu Dong

“…Logistic regression model and Chi-squared automatic interaction (CHAID) decision tree based on multimodal ultrasound were established, and the diagnostic efficiency of the two models in PTC was compared.MethodsThe findings, features and data of routine ultrasound, shear wave elastography (SWE) and contrast-enhanced ultrasonography (CEUS) were prospectively collected in 203 patients. …”
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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

“…The big data collected from structural health monitoring systems (SHMs), combined with the rapid advances in machine learning (ML), have enabled data-driven methods in practical SHM applications. …”
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Anomaly Sign Detection for Automatic Ticket Gates by the Histogram Limitation Method by Ken Ueno, Shigeru Maya, Kiyoku Endo

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Two-Layer Storage Scheme and Repair Method of Failure Data in Wireless Sensor Networks by Yulong Shen, Xiaowei Dang, Min Shu, Ning Xi, Jianfeng Ma

“…Distributed data storage is a key technology in the data collection in wireless sensor networks. …”
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Temperature Field Data Reconstruction Using the Sparse Low-Rank Matrix Completion Method by Shan Wang, Jianhui Hu, Huiling Shan, Chun-Xiang Shi, Weimin Huang

“…Due to limited number of weather stations and interruption of data collection, the temperature field data may be incomplete. …”
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Distributed photovoltaic cluster output monitoring method based on time series data acquisition by Hua Ye, Xuegang Lu, Wei Zhang, Fei Cheng, Ying Zhao

“…According to the experimental analysis, the output monitoring method of distributed photovoltaic clusters based on time series data collection proposed in this paper has certain effects and can provide theoretical support for the further development of distributed photovoltaic clusters.…”
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An adaptive assessment method of power system transient stability considering PMU data loss by Binyu Ma, Jun Yang, Xiaotao Peng, Kezheng Jiang, Dan Liu, Kan Cao

“…With the popularity of phasor measurement units (PMUs), data‐driven TSA methods have been widely concerned. …”
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A deep learning-based data augmentation method for marine mammal call signals by Jiaming Jiang, Jiaming Jiang, Wanlu Cheng, Wanlu Cheng, Shengwen Gong, Shengwen Gong, Jingjing Wang, Jingjing Wang

“…To address this problem, we propose MarGEN, a deep learning-based augmentation method for marine mammal call signal data. This method processed the call data into Mel spectrograms, then designed a self-attention conditional generative adversarial network to generate new samples of Mel spectrograms that were highly similar to the real data, and finally reconstructed them into call signals using WaveGlow. …”
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An Enhanced Forwarding Method based on Intelligent Water Drops Algorithm in Named Data Network by HamidReza Afzal, Behrang Barekatain, Zahra Beheshti

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Analysis method and experimental conditions affect computed circadian phase from melatonin data. by Hadassa Klerman, Melissa A St Hilaire, Richard E Kronauer, Joshua J Gooley, Claude Gronfier, Joseph T Hull, Steven W Lockley, Nayantara Santhi, Wei Wang, Elizabeth B Klerman

“…We conclude that melatonin data set characteristics, including amplitude and completeness of data collection, differentially affect the results depending on the melatonin analysis method used.…”
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Automatic Estimation Method for Intersection Saturation Flow Rate Based on Video Detector Data by Linhong Wang, Yunhao Wang, Yiming Bie

“…Existing studies generally rely on the field measurement method which requires a large number of people collecting data at the intersection. …”
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Efficient Multi-Threaded Data Starting Point Matching Method for Space Target Cataloging by Jiannan Sun, Zhe Kang, Zhenwei Li, Cunbo Fan

“…However, the matching process of massive observational data poses significant challenges to traditional prediction methods. …”
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Key construction strategies for core germplasm collection in vegetable pea (Pisum sativum) by XU Shengchun, ZHENG Huazhang, FENG Zhijuan, LIU Na, ZHANG Guwen, HU Qizan, GONG Yaming

“…The results revealed an abundant genetic diversity in these vegetable pea germplasms. Using these data, the construction strategies of core germplasm were studied by using the minimum distance stepwise sampling (LDSS) method with four genetic distances and eight sampling ratios. …”
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Automated identification of pathways from quantitative genetic interaction data by Alexis Battle, Martin C Jonikas, Peter Walter, Jonathan S Weissman, Daphne Koller

“…However, the analytical tools for fully exploiting such information lag behind the ability to collect these data. We present a novel Bayesian learning method that uses quantitative phenotypes of double knockout organisms to automatically reconstruct detailed pathway structures. …”
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Théâtre et enfermement : la création collective comme modalité de l’expérience d’enquête en prison by Chloé Branders

“…Indeed, to study the processes of collective theatrical creation in the particular context of confinement, participant observation was chosen as a methodology for data collection. …”
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Advanced Financial Fraud Malware Detection Method in the Android Environment by Jaeho Shin, Daehyun Kim, Kyungho Lee

“…Undersampling was performed to adjust the proportion of benign applications in the training data because the data on benign and malicious apps were unbalanced. …”
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Assessing usability of electronic patient-reported outcome measures in older people with and without a rare dermatologic disorder by Calvin N. Ho, Anna Kündig, Lila Bahadori, Katy Roat, Rachel Bruce, Caroline P. Goswami, Kimberly Kelly, Thomas Moll

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Global perspectives on unmanned aerial vehicles technology in social sciences: applications, innovations, and future research directions by Ricky Anak Kemarau, Zaini Sakawi, Stanley Anak Suab, Oliver Valentine Eboy, Wan Shafrina Wan Mohd Jaafar, Khairul Nizam Abdul Maulud, Nik Norliati Fitri Md Nor

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Application of applied statistical methods in the study of the labor market of IT-specialist by V. A. Livinskaya, M. A. Shaluchova

“…The methods of applied statistics are reliable mathematical tool for processing and analyzing collected statistical data. …”
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