Improving spatiotemporal data fusion method in multiband images by distributing variates by Yihua Jin, Zhenhao Yin, Weihong Zhu, Dongkun Lee

“…RDSFM addresses residuals caused by spatial and temporal variations, utilizing the IR-MAD algorithm to estimate subpixel distribution weights based on multivariate data collected over time. Compared to existing methods, RDSFM offers several key advantages: (1) It accurately predicts seasonal variations in bands such as red and NIR, (2) It effectively handles heterogeneous landscapes and shifting land cover, and (3) It requires only one high-resolution reference image as input, minimizing data requirements. …”
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GNSS-Based Monitoring Methods for Mining Headframes by Xu Yang, Zhe Zhou, Yanzhao Yang, Xinxin Yao, Chao Liu, Lei Liu, Shicheng Xie

“…This study introduces an innovative GNSS-based monitoring system designed to evaluate deformation in mining headframes, effectively addressing the limitations of traditional methods, such as inadequate real-time capabilities and complex data processing requirements. …”
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A survey on multi-source heterogeneous data processing methods in manufacturing process by Shichao CHEN, Chunyu CUI, Hua ZHANG, Ge MA, Fenghua ZHU, Xiuqin SHANG, Gang XIONG

“…The effective processing and deep mining analysis of data can provide manufacturers with more effective production scheduling,equipment management and other strategies to affect production yield and efficiency.The processing methods and technologies of multi-source heterogeneous data in the manufacturing process were systematically reviewed.Firstly,the multi-source heterogeneous data content and classification in the manufacturing process was clarified.Secondly,the data processing methods and techniques applied in various stages of data collection,data integration and data analysis in the multi-source heterogeneous data processing were described.And the advantages and disadvantages of various techniques and their applications were analyzed.Finally,the multi-source heterogeneous data processing methods and techniques in the manufacturing process were summarized.And the challenges and development trends were pointed out.…”
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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets by Theresa Willem, Alessandro Wollek, Theodor Cheslerean-Boghiu, Martha Kenney, Alena Buyx

“…ObjectiveThis study aimed to explore categorical data’s effects on machine learning model outputs, rooted the effects in the data collection and dataset publication processes, and proposed a mixed methods approach to examining datasets’ data categories before using them for machine learning training. …”
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The Use of Geoinformation Collections of Prices and Pricing Variables in the Forensic Examination of Cadastral Valuation of Real Estate by S. Yu. Pogorelov, A. I. Usov, S. S. Chizhov

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An automated data collection process for constructing graph data relying on LLMs by Ngoc Ton Ho, Hoang Son Nguyen, Ngoc Minh Chau Ngueyen, Pham Cuong Nguyen

“…Overall, this study contributes to advancement of the field by providing a methodology for automating the collection and processing of online data sources, significantly improving the quality of data collection from online sources. …”
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An automated data collection process for constructing graph data relying on LLMs by Ngoc Ton Ho, Hoang Son Nguyen, Ngoc Minh Chau Ngueyen, Pham Cuong Nguyen

“…Overall, this study contributes to advancement of the field by providing a methodology for automating the collection and processing of online data sources, significantly improving the quality of data collection from online sources. …”
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A Data Collection Application for Geosciences Professionals by Carla dos Santos Sá, Danilo Marques de Magalhães

“…<p>This article presents the process of elaborating a web platform that allows the georeferenced data collection in the Twitter API. This platform is intended for people who do not have computer language knowledge, including GIS users, since it simplifies the data collecting method from this social network. …”
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Methods and results used in the development of a consensus-driven extension to the Consolidated Standards of Reporting Trials (CONSORT) statement for trials conducted using cohorts and routinely collected data (CONSORT-ROUTINE) by Chris Gale, David Torgerson, Lehana Thabane, Brett D Thombs, Eric I Benchimol, David Erlinge, Philippe Ravaud, Danielle B Rice, Linda Kwakkenbos, Maureen Sauve, Helena M Verkooijen, Ole Fröbert, Merrick Zwarenstein, Lars G Hemkens, Margaret Sampson, Clare Relton, Jon Nicholl, John Fletcher, Sinéad M Langan, Mahrukh Imran, Marion K Campbell, Stephen J McCall, Kimberly A McCord, Rudolf Uher, Edmund Juszczak

“…Objectives Randomised controlled trials conducted using cohorts and routinely collected data, including registries, electronic health records and administrative databases, are increasingly used in healthcare intervention research. …”
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The importance and challenges of data collection in risk assessment by Xekalakis Georgios, Fokaides Paris, Christou Petros

“…This study underscores the significance of diverse data collection methods, including field surveys, artificial intelligence (AI) analysis, and satellite imagery, each essential for developing robust risk assessment frameworks. …”
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Exploring the adoption of collections as data in the GLAM context by Meltem Dişli, Nele Gabriëls, Sally Chambers, Sarah Ames, Beth Knazook, Gustavo Candela

“…Method. Drawing on the existing literature regarding collections as data, this research identifies key aspects that should be considered and assesses selected datasets based on these aspects. …”
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AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data by Qiaosheng Zhang, Yalong Wei, Jie Hou, Hongpeng Li, Zhaoman Zhong

“…Abstract Background Cancer classification has consistently been a challenging problem, with the main difficulties being high-dimensional data and the collection of patient samples. Concretely, obtaining patient samples is a costly and resource-intensive process, and imbalances often exist between samples. …”
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Comparative analysis of Mobile Crowdsensing and Ecological Momentary Assessment systems by Michael Stach, Adnan Ramović, Manfred Reichert, Rüdiger Pryss

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Identifying accurate methods of assessing blood pressure and health information by lay volunteers in the Philippines: Adapting a Canadian cardiometabolic health program to LMICs by Ricardo Angeles, Floro Dave Arnuco, Fortunato Cristobal, Lisa Dolovich, Janusz Kaczorowski, Dale Guenter, Kasthuri Selvarajah, Fiona Parascandalo, Jessica Gaber, Gina Agarwal

“…Phase 2 compared three data collection methods (tablet, cell phone, and paper) used by Barangay Health Workers (BHWs), the local volunteers who will implement the intervention. …”
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Predictive analytics of student performance: Multi-method and code by Alla Yu. Vladova, Katsiaryna M. Borchyk

“…Despite the significant amount of collected diagnostic data, education managers underutilize machine learning methods to improve the accuracy of predicting academic performance. …”
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Forecasting sports-related injuries using wearable devices and data analysis methods by Balnur Kenjayeva, Moldir Kizdarbekova, Mirambek Murzabekov

“…Over a 20-week period, 80 physical culture students were divided into an experimental group, using wearable devices for real-time data monitoring, and a control group employing traditional training methods. …”
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Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights by Sungjoo Lee, Kook Jin Jang, Myung Han Lee, Seong Ryong Shin

“…The research findings open a discussion regarding how to integrate data-driven methods with expert insights during roadmapping based on the trade-offs between the two types of data, that is, hard data for data-driven methods and soft data from expert insights, and suggest possible opportunities for future roadmapping developments. …”
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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

“…The purpose of the study is to confirm or refute the environmental determinism of the occurrence of socially significant diseases among the population of Moscow based on the analysis of data on environmental and health indexes in the context of municipal units of the city.Materials and methods. …”
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Mixed Method Research of Intra-Organizational Trust Model Based on Collective Reaction (Case Study: Tehran Education) by Saeed Azadeh, Ali Akbar Farhangi, Seyed Mohammad Zahedi

“…The data were analyzed based on the data theory method (open, axial and selective coding). …”
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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

“…To solve the tasks set, a comprehensive approach was applied, incorporating Data Science methods: descriptive statistics, data collection through Data Scraping techniques, natural language processing (NLP) for thematic modeling and sentiment analysis of the reviews, as well as cluster analysis using the k-means algorithm. …”
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