Data analysis method of pump shutdown pressure based on water hammer effect and cepstrum transformation by WANG Xiaoqiang,ZHAO Li’an,WANG Zhiyuan,XIU Chunhong,JIA Guolong,DONG Yan,LU Detang

“…By installing a high-frequency pressure device at the wellhead, not only the pump shutdown pressure drop curve but also the water hammer waveform curve can be completely collected. In this paper, the simulated pressure data are obtained by numerically solving the governing equation of wellbore water hammer. …”
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Machine learning for efficient CO2 sequestration in cementitious materials: a data-driven method by Yanjie SUN, Chen ZHANG, Yuan-Hao WEI, Haoliang JIN, Peiliang SHEN, Chi Sun POON, He YAN, Xiao-Yong WEI

“…To address these challenges, this paper applies three advanced machine-learning techniques (Decision Tree, Random Forest, and eXtreme Gradient Boosting (XGBoost)), with existing datasets coupling with data collected from the literature. The results show that the XGBoost model significantly outperforms traditional linear regression approaches. …”
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Research on Reservoir Hydrocarbon-Bearing Property Identification Method Based on Logging Data and Machine Learning by Chunyong Yu, Kaixuan Qu, Li Peng

“…Although various evaluation methods based on well-logging data can reasonably interpret the hydrocarbon-bearing property of most reservoirs, these methods often exhibit significant randomness and ambiguity. …”
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Construction of a pathogenic microorganism detection method based on third-generation nanopore sequencing data by Guoqin Mai, Jiayi Chen, Min Zhang, Wanyue Zhang, Yuting Luo, Ying Dai

“…First, a comprehensive and penetrating reference database of nucleic acids from pathogenic microorganisms was constructed, and sequence alignment analysis was performed via nanopore sequencing of metagenomic data collected from 40 patients with lower respiratory tract infection symptoms. …”
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Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data by Maurizio Guerra, Maurizio De Molfetta, Antonio Diligenti, Marco Falconi, Vincenzo Fiano, Chiara Fiori, Donatello Fosco, Lucina Luchetti, Bruno Notarnicola, Pietro Alexander Renzulli, Enrico Sacchi, Nino Tarantino, Marcello Tognacci, Antonella Vecchio

“…The effective management of landfills requires advancements in techniques for rapid data collection and analysis of gas emissions. This work aims to refine methane (CH₄) emission data acquired from landfills by applying a robust geostatistical method to drone-collected measurements. …”
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Intelligent quality control method for marine buoy data based on transformer encoder and BiLSTM by Miaomiao Song, Miaomiao Song, Miaomiao Song, Saiyu Gao, Saiyu Gao, Shixuan Liu, Shixuan Liu, Shixuan Liu, Yuzhe Xu, Yuzhe Xu, Yuzhe Xu, Shizhe Chen, Jiming Zhang, Jiming Zhang, Jiming Zhang, Wenqing Li, Wenqing Li, Wenqing Li, Keke Zhang, Keke Zhang, Keke Zhang, Xiao Fu, Xiao Fu, Xiao Fu

“…Ocean moored buoys are essential ocean monitoring devices that are permanently moored in the sea to collect real-time hydrological and meteorological data. …”
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Contribution and legacy: a qualitative study of older people’s attitudes about sharing their routinely collected health data for research purposes in New Zealand by Engelina Groenewald, Jasmine Appleton, Brendan Hallam, Cristian Gonzalez-Prieto, Susan Yates, Daniel Wilson, Gillian Dobbie, Rosie Dobson, Sarah Cullum

“…However, very little research has been done to examine the attitudes of older people towards sharing their routinely collected health data for research purposes. Method Twenty-eight semi-structured interviews were conducted with older health service users in the Counties Manukau health district of Auckland, New Zealand. …”
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Investigating the Relationship Between on Public Expenditures on Government Performance – Panel Data Method, 1989-2019 by Ali Heydar Noori, Ahmad Sarlak, Mohammad Hossein Rahmati

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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

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Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu

“…To realize the sharing and utilization of monitoring data resources, a fast group fusion method of dual-carbon monitoring data based on DBSCAN (Ensity - Based Spatial Clustering of Applications with Noise) clustering algorithm is proposed. …”
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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

“…Furthermore, we employ these operators to offer a systematic technique to tackle multiple attribute decision-making (MADM) problems using CBF data. We resolve a MADM problem by determining the most appropriate method for diagnosing diabetes mellitus using the developed operators, demonstrating their usefulness in decision-making procedures. …”
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Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets: Application to Molecular and Biophysical Data by Victor V. Golovko

“…The MFV-HPB framework provides a reliable and generalizable approach for extracting central estimates and confidence intervals in situations where data are difficult to collect, replicate, or interpret. …”
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Presenting the internal evaluation model on the performance of the banking industry based on the data theory method of the foundation by Zahra Ramzanpour Osmavandani, mehdi Rouholamini, Shahrbanoo Gholipour

“…Abstract The purpose of this research is to provide a model of the impact of internal marketing on the performance of the banking industry based on the data-based theory method. The research method is applicable in terms of the purpose, and qualitative in terms of the implementation method, based on the inductive approach. …”
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Identifying barriers and disparities in the healthcare of patients with alopecia areata: a mixed-methods analysis using claims data and qualitative interview data by Matthias Augustin, Christine Blome, Katharina Müller, Kristina Hagenström, Toni Maria Janke, Beke Hester, Theresa Klinger, Brigitte Stephan

“…Both types of data were collected and analysed in parallel to enable integrated analysis. …”
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Hands-On Data Gathering by Claudia Mejía de la Pava, Silvia Manessi

“… Data collection is a fundamental aspect of linguistic and sociolinguistic research methodologies, and while many scholars may choose to gather their own data, others tend to rely solely on data that are readily available. …”
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Valuing the Recreational Uses of Pakistan’s Wetlands: An Application of the Travel Cost Method by Iftikhar Hussain Adil, Ali Dehlavi

“…This study uses a single-site truncated count data travel cost method to estimate the access values of visitors to Keenjhar Lake. …”
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Discovering linked data collections through a new national metadata platform by Kate M Miller, Felicity Flack, Merran Smith, Carina Ecremen Marshall, Vicki Bennett

“…Despite the abundance of metadata for data collections in Australia, the vast and diverse data custodian landscape poses challenges for linked data researchers to find relevant information for multiple data collections, often making it an arduous and time-intensive task.   …”
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Comparing the accuracy of machine learning methods for classifying wild red deer behavior based on accelerometer data by Benjamin Bar-Gera, Pia Anderwald, Alina L. Evans, Thomas Rempfler, Claudio Signer

“…Combined with classification models, data collected by accelerometers on a collar can be used to determine an animal’s behaviors. …”
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Pharmacovigilance processes in low- and middle-income countries: moving from data collection to data analysis and interpretation by Olga Menang, Peter van Eeuwijk, Karen Maigetter, Andy Stergachis, Christian Burri

“…Effective pharmacovigilance data analysis starts with data collection and involves critical activities, such as signal detection, that enable the generation of new information on marketed products, and inform safety-related regulatory actions. …”
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Dual-Mode Data Collection for Periodic and Urgent Data Transmission in Energy Harvesting Wireless Sensor Networks by Ikjune Yoon

“…Wireless Sensor Networks (WSNs) are widely used for environmental data collection; however, their reliance on battery power significantly limits network longevity. …”
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