Error analysis and correction method of temperature and humidity profiles in the Three Gorges ground-based remote sensing vertical observation system by Ming ZHANG, Guirong XU, Yu DU, Dan YE

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The Impact of Macroeconomic Variables on the Financial Growth of Construction Companies in Indonesia: An Analysis with an Error Correction Model (2010.1 – 2021.4) by Rini Raharti, Aditya Kurniawan

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Predictive Time-Series Analysis of Single-Qubit Quantum Circuit Outcomes for a Superconducting Quantum Computer: Forecasting Error Patterns by Mohammadreza Saghafi, Lamine Mili

“…By training a predictive model, we aim to forecast future outcomes, providing insights into the error behavior of the quantum circuit. Additionally, we analyze time series data from two different circuits executed on the same qubit to investigate potential relationships and assess whether one dataset can be used to predict the other. …”
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Reassessment Individual Growth Analysis of the Gulf Corvina, <i>Cynoscion othonopterus</i> (Teleostei: Sciaenidae), Using Observed Residual Error by Eugenio Alberto Aragón-Noriega, José Adán Félix-Ortiz, Jaime Edzael Mendivil-Mendoza, Gilberto Genaro Ortega-Lizárraga, Marcelo Vidal Curiel-Bernal

“…Growth is the most influential aspect in demographic species analysis. Collecting data on ages and sizes (such as length and weight) is a fundamental step in growth modeling, particularly in fishery science. …”
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Analysis of Variance for Item Differences in Verification Data with Unknown Groups by T. Burr, K. Martin, C. Norman, K. Zhao

“…For sequentially collected data, this paper introduces a lag-one differencing method to estimate the random error standard deviation δR and then uses the estimate δ^R to calculate a change detection threshold in a moving window method to detect shifts in the short-term systematic error. …”
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Characteristic Analysis and Error Compensation Method of Space Vector Pulse Width Modulation-Based Driver for Permanent Magnet Synchronous Motors by Qihang Chen, Wanzhen Wu, Qianen He

“…Using the volt–second equivalence principle, an input–output voltage model of the driver is derived, with model parameters estimated from test data. The driving error is then compensated with a voltage method based on the model. …”
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Fungal genomes: suffering with functional annotation errors by Tapan Kumar Mohanta, Ahmed Al-Harrasi

“…Results An analysis of proteome sequence data of 689 fungal species (7.15 million protein sequences) was conducted to identify the presence of functional annotation errors. …”
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Enhancing medication error reporting through interprofessional education: analysis of Medwatch reporting accuracy and completion rates between teams and individuals by Aline H. Saad, Rehab Bondok, Farah Sayeg, Brian J. Barnes, Caitlin E. Rukat, Candice Garwood, Diane L. Levine

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Biomechanical analysis of neochordal repair error from diastolic phase inversion of static left ventricular pressurizationCentral MessagePerspective by Matthew H. Park, MS, Mateo Marin-Cuartas, MD, Annabel M. Imbrie-Moore, PhD, Robert J. Wilkerson, BS, Pearly K. Pandya, BS, Yuanjia Zhu, MD, MS, Hanjay Wang, MD, Michael A. Borger, MD, PhD, Y. Joseph Woo, MD

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ERROR MINIMIZATION OF ESTIMATE QUALITY BY EXPERT SYSTEMS by P. S. Serenkov, V. M. Romanchak, V. L. Gurevich

“…The complex analysis of information gathering and analyzing system in the context of quality management system (QMS) is given for the case when quality data are presented in the form of expert judgments. …”
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Detecting and reducing heterogeneity of error in acoustic classification by Oliver C. Metcalf, Jos Barlow, Yves Bas, Erika Berenguer, Christian Devenish, Filipe França, Stuart Marsden, Charlotte Smith, Alexander C. Lees

“…Finally, we propose two complementary ways to reduce heterogeneity of error, by (i) accounting for it in the thresholding process and (ii) using a secondary classifier that uses contextual data. …”
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Human Error Probability in Responding to Safety Alarms by Els Janssens, Dirk Roosendans, Olivier Iddir

“…Existing methods for assessment of human error probability are, or very coarse (use of generic literature data, addressing only part of the human response loop), or very complex (for example SPAR-H, Petro HRA). …”
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The most common errors in automatic ECG interpretation by Krzysztof Kraik, Krzysztof Kraik, Irena Anna Dykiert, Irena Anna Dykiert, Joanna Niewiadomska, Joanna Niewiadomska, Marta Ziemer-Szymańska, Karolina Mikołajczak, Karolina Mikołajczak, Mikołaj Kreń, Mikołaj Kreń, Piotr Kukiełka, Piotr Kukiełka, Adrian Martuszewski, Adrian Martuszewski, Tomasz Harych, Rafał Poręba, Paweł Gać, Małgorzata Poręba

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Bounding the Practical Error of Path Loss Models by Caleb Phillips, Douglas Sicker, Dirk Grunwald

“…Models that can be tuned with measurements and explicit data fitting approaches enable a reduction in RMSE to 8-9 dB. …”
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A new APSO-SPC method for parameter identification problem with uncertainty caused by random measurement errors by Peng Zhong, Xuanlong Wu, Li Zhu, Aohao Yang

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Intelligent Analysis of Logistics Information Based on Network Dynamic Data by Honglin Yan

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Analysis of Machine Learning Performance in Spatial Interpolation of Rainfall Data by Alexandre E. L. Nobrega, Itamir M. Barroca Filho

“…The accuracy of the models was evaluated using the coefficient of determination, root mean square error, and concordance index, to confirm the effectiveness of these methodologies for maximum daily annual precipitation data. …”
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The Planners’ Perspective on Train Timetable Errors in Sweden by Carl-William Palmqvist, Nils O. E. Olsson, Lena Winslott Hiselius

“…However, relatively little attention has been paid to the people who plan the timetables: the research has instead been more centred on how to improve timetables through simulation, optimisation, and data analysis techniques. In this study, we present an overview of the state of practice and the state of the art in timetable planning by studying the research literature and railway management documents from several European countries. …”
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Automation of flow cytometry data analysis with elastic image registration by Allison Irvine, Mohamed Mahmoud Moustafa, Sahul Patel, Aniket Patel, Lilja Hardardottir, Francesca Delvecchio, Taylor Foreman, Jean Oak, Scott J. Bornheimer, Raffaello Cimbro

“…Batch processing can be used to automate the analysis of bimodally distributed data but underperforms with highly-variable or continuously-expressed markers. …”
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Analysis and quality control of weighing lysimeter water storage data by Steven R. Evett, Paul D. Colaizzi, Gary W. Marek, Karen S. Copeland, Brice B. Ruthardt

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