A data ensemble-based approach for detecting vocal disorders using replicated acoustic biomarkers from electroglottography by Lizbeth Naranjo, Carlos J. Pérez, Daniel F. Merino

“…These methods can be applied to other data types where replications play a key role. …”
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Inveestigating the Potential and Foundations of Pilgrimage Rituals Based on the Understanding of the Semantic System of the Participants in the Arbaeen Walk by rezadost karim, marziyeh shahryari

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A lightweight and efficient raw data collection scheme for IoT systems by Yixuan Huang, Yining Liu, Jingcheng Song, Weizhi Meng

“…With the prevalence of Internet of Things (IoT) devices, data collection has the potential to improve people's lives and create a significant value. …”
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Recent Tools of Software-Defined Networking Traffic Generation and Data Collection by Tabarak Khudhair, Omar Athab

“…In addition, the methods used in SDN data gathering are compared to explore the capability of each one and hence, determine the suitable environment for each method. …”
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Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

“…In this study, we discriminated pleasant/unpleasant emotional moods and low/high cognitive states using graph-theoretic features extracted from spatio-temporal components. <b>Methods:</b> Emotional data were collected at the Physiology Department of Istanbul Medical Faculty at Istanbul University, whereas cognitive data were obtained from the DepositOnce repository of Technische Universität Berlin. …”
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High-Quality Sample Generation for Power System Transient Stability Assessment Based on Data-Driven Methods by Baoqin Li, Pengfei Fan, Qixin Chen, Rong Li, Kaijun Lin

“…This paper proposes a high-quality sample generation framework based on data-driven methods to build a high-quality offline samples database for TSA model training and updating. …”
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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

“…First, an IPHTSG database is established by categorizing and compiling the collected engineering and production parameters in addition to the classified initial production data. …”
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Aspect Analysis of Data Systematization of Library’s Document Collection, and Scientific Landscape by A. N. Sysoev, V. N. Beloozerov

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Optimal UAV Deployment for Data Collection in Deadline-based IoT Applications by Baghdad Science Journal

“…We provided a new data collection method, which was set to collect IoT node data by providing an efficient deployment and mobility of multiple UAV, used to collect data from ground internet of things devices in a given deadline time. …”
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Evaluating methods for identifying and quantifying Streptococcus pneumoniae co-colonization using next-generation sequencing data by Jada Hackman, Martin L. Hibberd, Todd D. Swarthout, Jason Hinds, James Ashall, Carmen Sheppard, Gerry Tonkin-Hill, Kate Gould, Comfort Brown, Jacquline Msefula, Andrew A. Mataya, Michiko Toizumi, Lay-Myint Yoshida, Neil French, Robert S. Heyderman, Stefan Flasche, Brenda Kwambana, Stéphane Hué

“…ABSTRACT Detection of multiple pneumococcal serotype carriage can enhance monitoring of pneumococcal vaccine impact, particularly among high-burden childhood populations. We assessed methods for identifying co-carriage of pneumococcal serotypes from whole-genome sequences. …”
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Kinematics of the Milky Way from the Statistical Analysis of the Gaia Data Release 3 by Petr Zavada, Karel Píška

“…The aim of the analysis of data from the Gaia Space Observatory is to obtain kinematic parameters of the collective motion of stars in a part of our galaxy. …”
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Ethical challenges in collecting pre-existing digital data for linguistic research by Dalmaijer Evi, Stommel Wyke, Pas Berber, Spooren Wilbert

“…Since ethics and methods are intertwined, we discuss the various ethical and methodological aspects of collecting these sensitive digital data for our linguistic research project and reflect on the benefits and limitations of the choices we made during this process. …”
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A collaborative WSN‐IoT‐Animal for large‐scale data collection by Hamayadji Abdoul Aziz, Ado Adamou Abba Ari, Arouna Ndam Njoya, Assidé Christian Djedouboum, Alidou Mohamadou, Ousmane Thiare

“…Abstract In recent years, large‐scale data collection systems have developed rapidly in many fields, including agriculture, transport and many others. …”
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Modeling and monitoring methods for industrial robots based on digital twin by XU Jian, ZHAO Yijian, LIU Gaofeng, ZHENG Zili, YAN Huanying

“…Secondly, based on the open platform communications united architecture (OPC UA), data collection and communication for robots were implemented. …”
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The Weather Radar as a Tool for Collecting Quantitative Data on Migrating Birds by Roberto Nebuloni, Carlo Capsoni

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Core variables for real-world clinicogenomic data collection in precision oncology by R. Dienstmann, A. Hackshaw, J.-Y. Blay, C. Le Tourneau

“…Background: Precision oncology evidence gaps may be bridged using real-world clinicogenomic data; however, current limitations compromise real-world data collection and evidence generation. …”
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Evaluation in Our New Normal Environment: Navigating the Challenges with Data Collection by Nadini Persaud, Ruby Dagher

“… Background: Data collection is a critical component of all evaluations. …”
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Smart data in healthcare marketing: linking digital transformation to patient behavior and branding by Mohammad Farid Ashouri, Mehrdad Tarassoli

“…In the quantitative phase, data were collected using a structured questionnaire developed based on the themes identified in the qualitative stage. …”
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Combined data-driven and knowledge-driven methodology for system inertia estimation based on the successional difference method by Linjun Shi, Yijie Zhao, Feng Wu, Keman Lin

“…Firstly, the post-fault system data are collected and the frequency rate of change caused by disturbance is calculated by the successional difference method, which effectively reduces the accidental error and improves the interpretability of the model at the same time. …”
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Multi-LiDAR-Based 3D Object Detection via Data-Level Fusion Method by Yu Luo, Tao Wang, Shuai Lu, Xuerui Dai, Zhi Li

“…Finally, to verify the effectiveness of our method, we propose the public dataset VANJEE Point Cloud, which is collected in the real world. …”
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