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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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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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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Selective imitation for efficient online reinforcement learning with pre-collected data by Chanin Eom, Dongsu Lee, Minhae Kwon

“…While the off-policy method in online RL partially addresses this issue by employing a replay buffer, learning speed remains slow, particularly at the beginning of training, due to the low quality of data collected with the initial policy. …”
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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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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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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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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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Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method by Zhixin Guo, Tao Wang, Chaoyang Wang, Jianping Zhou, Guanjie Zheng, Xinbing Wang, Chenghu Zhou

“…In response, we present an automated tabular extraction method for harvesting tabular geoscience data. We collect 10,624 Sm-Nd data entries from 9,138 tables in over 20,000 geoscience publications using this method. …”
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METHODOLOGICAL HURDLES IN CAPTURING CMC DATA: THE CASE OF THE MISSING SELF-REPAIR by Bryan Smith

“…The first goal sought to establish how potential interpretations of CMC data may be very different depending on the method of data collection and evaluation employed. …”
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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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Using Machine Learning Method for Variable Star Classification Using the TESS Sectors 1–57 Data by Li-Heng Wang, Kai Li, Xiang Gao, Ya-Ni Guo, Guo-You Sun

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