Stair Scheduling for Data Collection in Wireless Sensor Networks by Jinbiao Chen, Yongcai Wang, Yuexuan Wang, Changjian Hu

“…The low-tier nodes that are close to the cluster head generally become bottlenecks in data collection applications. Energy efficient scheduling is important for the low-tier sensors to be longevous while guaranteeing reliable communication. …”
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Data feminism in museum collections: mapping principles to practices by Alexandria Rayburn

“…Method. This qualitative systemic review maps the seven principles of Data Feminism (Examine Power, Challenge Power, Elevate Emotion and Embodiment, Re-think Binaries and Hierarchies, Embrace Pluralism, Consider Context, Make Labor Visible) to existing work happening in museum collections. …”
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Development of software for collecting cleft-specific data in Malaysia by Al Imran Shahrul, Nik Mukhriz Nik Mustapha, Mas Suryalis Ahmad, O. P. Kharbanda, Aida Nur Ashikin Abd Rahman

“…Abstract Background The World Health Organization (WHO) has recommended the development of a cleft-specific database for collecting and analyzing data on patients with cleft from birth to adulthood. …”
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From Web Resources to Agricultural Ontology: a Method for Semi-Automatic Construction by Yuan-yuan WEI, Ru-jing WANG, Yi-min HU, Xue WANG

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Comparison of different spatial interpolation methods for historical hydrographic data of the lowermost Mississippi River by Chia-Yu Wu, Joann Mossa, Liang Mao, Mohammad Almulla

“…The lowermost Mississippi River (LMR) is important to the environment and economy of continental United States. Although bathymetric data have been collected over many decades at numerous cross-sectional sounding points, there has been no consensus on appropriate interpolator for generating bathymetry. …”
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Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

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Analytical Approach to Enhancing Efficiency of Silt Loading Collection in EPA Vacuum Sweep Method Using K-Means Clustering by Ho-jun Yoo, In-tai Kim

“…This study explores the application of K-means clustering to optimize the selection of sampling locations for suspended silt loading (sL) on asphalt pavements, addressing the limitations of traditional random sampling methods in the EPA method. The objective was to identify reliable sampling points for road dust concentration measurement, with a focus on improving the accuracy of data collection using the vacuum sweep method. …”
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Observation Selection, Total Variation, and L-Curve Methods for LiDAR Data Denoising by Jie Zhang, Pak Wai Chan, Michael K. Ng

“…Numerical results for LiDAR data collected at the Hong Kong International Airport are reported to demonstrate that the denoising performance of the proposed method is better than that of the testing LiDAR data denoising schemes in the literature.…”
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Cannabidiol prescribing in the United States: An analysis of real-world data by Binx Yezhe Lin, Chloe Lessard, Yifan Li, Lisa Gong, Ruth Ling, Pallawi Jyotsana, Jacob Steinle, Jacob T. Borodovsky, Fábio A. Nascimento, Kevin Y. Xu

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Retracted: A Data Gathering Method Based on a Mobile Sink for Minimizing the Data Loss in Wireless Sensor Networks by Junho Park, Kyoungsoo Bok, Dongook Seong, Sanglae Kim, Jaesoo Yoo

“…We propose a novel data gathering method based on a mobile sink considering the data loss in wireless sensor networks. …”
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Community views on the secondary use of general practice data: Findings from a mixed‐methods study by Annette J. Braunack‐Mayer, Carolyn Adams, Alberto Nettel‐Aguirre, Belinda Fabrianesi, Lucy Carolan, Justin Beilby, Felicity Flack

“…Conclusion The findings of this study suggest that the public may be more concerned about sharing general practice data for secondary purposes than they are about sharing data collected in other settings. …”
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Information method of optimization parameters in the diagnosis of gas turbine engines by G. S. Zontov

“…The autor focuses on the retional combination of methods of mathematical analysis and statistics and de-veloping an algorithm that allows to optimize the use of mathematical methods by longitudinal data collection and ma-chine learning.…”
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Vibration Diagnostic Methods from Methodsof Obtaining Data to Processing It Using Modern Means by Anton O. Zhuravlev, Alexey O. Polyakov, Denis A. Andrikov

“…Methods for collecting primary information about vibration and methods for analyzing data using the above algorithms are described. …”
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Comparison of water surface temperature retrieval methods from Landsat 9 satellite data by M. Bonansea, M. Bonansea, S. Gutierrez, M. Correa, S. Pana, V. Gauto, F. Nemiña, A. Germán, G. Beltramone, L. Pinotti, L. Pinotti, A. Ferral

“…Landsat 9, the latest satellite in the Landsat program, offers a unique opportunity for retrieving Earth's surface temperature data. Despite numerous efforts to develop methods for retrieving surface temperature from remote sensing data, there have been relatively few studies comparing the performance of these methods. …”
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Uncertain trajectory privacy-preserving method of moving object by Shuang WANG, Fu-cai ZHOU, Li-na WU

“…With the development of location based service(LBS) and location-aware devices，the amount of trajectories of moving objects collected by service providers was continuously increasing,meanwhile,it can cause great threaten for personal privacy.Most researches of trajectory privacy preserving were on deterministic data,however,trajectory’s uncertainty was inherent due to the inaccuracy of data acquisition equipment,delayed update,and so on.A new method was prosed to protect the privacy of trajectory data in publishing.It is the first time to present the idea that transforming the trajectory to an uncertain area to cluster.First,a probability statistics method to model the trajectory to an uncertain area was proposed.Second,the similar uncertain area into a cluster was put and sanitized in an equivalence class.Finally,the performance of the proposal was compared with (K δ)-anonymity model in real datasets.…”
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Power Load Data Completion Method Based on Integrated Graph Convolutional Variational Transformer by YAN Li, HU Hailin, SHI Lei, WU Qinzheng, LÜ Tianguang, XU Yingdong, ZHANG Wenbin, WANG Gaozhou

“…[Methods] To this end， this paper proposes a new power load missing data completion model based on an integrated graph convolutional variational transformer （IGCVT） network. …”
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A comparative study of shoulder replacement outcomes using linked national registry and hospital data from England and Denmark by Epaminondas Markos Valsamis, Josefine Beck Larsen, Theis M. Thillemann, Stephen E. Gwilym, Gary S. Collins, Inger Mechlenburg, Jonathan L. Rees

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An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language by Hasan et al.

“…This method demonstrated improved accuracy of data collected, reduced data processing time and arranged data to the willing model.…”
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Estimation method of the cohesion degree for the users’ profiles of social network based on open data by Valentina A. Kataeva, Igor S. Pantyukhin, Igor V. Yurin

“…This method includes the sequence of the following stages: the first stage is data collection about users of the social network with API and the formation of tuples of users’ profile characteristics. …”
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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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