Double weighted combat data quality evaluation method based on CVF optimized FAHP by Jianwei Wang, Chengsheng Pan, Qing Zhang

“…Abstract During multi-agent combat simulation exercises, accurately assessing the quality of collected combat data is a critical step. Addressing the current issue of low accuracy in combat data quality evaluation, which fails to effectively support simulation exercises, this paper proposes a Double-Weighted FAHP optimized by CVF (comparative value function) method for assessing combat data quality. …”
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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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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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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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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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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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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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Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study by Kristin Manz, Susanne Krug, Charlotte Kühnelt, Johannes Lemcke, Ilter Öztürk, Julika Loss

“…ObjectiveThis study aimed to describe the ownership of consumer wearables and their usage for the collection of health data from the adult population living in Germany, as well as the motives for the collection of health data and the average wear times. …”
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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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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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Datafication and Cultural Heritage Collections Data Infrastructures: Critical Perspectives on Documentation, Cataloguing and Data-sharing in Cultural Heritage Institutions by Daniel Belteki, Arran J. Rees, Anna-Maria Sichani

“…From often-passive primary source or reference point for humanities research, cultural heritage collections are now becoming integral part of large-scale interdisciplinary inquiries using computational-driven methods and tools. …”
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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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Domain Terminology Collection for Semantic Interpretation of Sensor Network Data by Myunggwon Hwang, Jinhyung Kim, Jangwon Gim, Sa-kwang Song, Hanmin Jung, Do-Heon Jeong

“…In this paper, we suggest a method of domain terminology collection based on Wikipedia category information in order to prepare seed data for such knowledge bases. …”
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