Evaluation of municipal waste collection performance using operational data by G.M. Hoang, H.T.T. Ha, N.T.L. Le, N.D. Toan

“…This study aims to assess the efficiency of current municipal solid waste collection by analyzing operational data that can help enhance the collection.METHODS: The geographical information system and the geographical position system data of all active trucks were collected for 14 consecutive days using the digital map. …”
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Standardized Approach to Life History Data Collection in Poeciliid Fishes by Erik S. Johnson

“…Here, I present a standardized approach to studying life history traits in livebearing fishes. I describe methods for preserving samples in the field, for collecting data on a standard set of life history traits, and for processing data in ways that will allow comparisons among studies. …”
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BioVitrina web repository — access to data on bioresource collections by A. S. Bukreeva, K. A. Malsagova, A. A. Izotov, A. V. Lisitsa, A. L. Kaisheva

“…To develop the BioVitrina web repository for visualizing data on biological samples available in the organization (https://bb.ibmc.msk.ru).Material and methods. …”
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Collective Praxis, Collaborative Publishing: The Case of the Data-Sitters Club by Anouk Lang, Katherine Bowers, Lee Bessette, Maria Sachiko Cecire, Quinn Dombrowski, Roopika Risam

“…The Data-Sitters Club (https://datasittersclub.github.io/site/index.html) is a pedagogical resource consisting of “books” that explore themes and methods from digital humanities and computational text analysis in colloquial and accessible ways, using Ann M. …”
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Challenges in data collection for enhancing productivity in Brazilian industrial processes by Haroldo Lhou Hasegawa, Rafael Sene de Lima, Vidal Dias da Mota Junior, Ricardo Luiz Perez Teixeira

“…Twelve medium-sized enterprises in the metalworking sector were selected, and data were collected from thesis projects conducted between 2017 and 2019. …”
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Method for determining effectiveness of cleaning devices for PM2.5 and PM10 suspended particles in dusty industrial emissions by L. O. Shtripling, V. V. Bazhenov, Yu. V. Kalinin, N. S. Bazhenova, V. V. Merkulov

“…A method for determining the fractional efficiency of dust collecting devices for fine dust is proposed.…”
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Reconstructing the Magnetic Field in an Arbitrary Domain via Data-Driven Bayesian Methods and Numerical Simulations by Georgios E. Pavlou, Vasiliki Pavlidou, Vagelis Harmandaris

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Implementation of Decision Support System with Data Mining Methods in the Quality Control Process of the Automotive Sector by Hikmet Canlı, Sinan Toklu

“…In this study, adecision support system is applied in the quality control process with classification algorithms which are datamining methods. C4.5, Naive Bayes, SMO and Random Forest algorithms are run on data set collected fromproduction. …”
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Identification of peanut oil origins based on Raman spectroscopy combined with multivariate data analysis methods by Peng-fei ZHU, Qing-li YANG, Hai-yan ZHAO

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A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…This work presents a comprehensive survey of fault-diagnosis methods and emphasizes two cornerstone strategies: data-driven paradigms and distributed methods. …”
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The Research Data Management Workbook: Building a Collection of Data Management Exercises to Bridge Data Information Literacy and Data Management Implementation by Kristin Briney

“…This article describes the creation of a collection of data management exercises, collectively called The Research Data Management Workbook, which supplement one-shot instruction and help students implement specific data management tasks. …”
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Development and validation of the Iranian Minimum Data Set for Epidermolysis Bullosa: A mixed method approach. by Somayeh Paydar, Shahrbanoo Pahlevanynejad, Farkhondeh Asadi, Hamideh Ehtesham, Azam Sabahi

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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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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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Real-Time DTM Generation with Sequential Estimation and OptD Method by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki, Andrea Masiero

“…Data acquisition and simultaneous generation of real-time digital terrain models (DTMs) is a demanding task, due to the vast amounts of observations collected by modern technologies and measurement instruments in a short time. …”
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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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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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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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A machine learning method to monitor China's AIDS epidemics with data from Baidu trends. by Yongqing Nan, Yanyan Gao

“…This paper uses search engine data to monitor and forecast AIDS in China.<h4>Methods</h4>A machine learning method, artificial neural networks (ANNs), is used to forecast AIDS incidences and deaths. …”
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