Inferring chromosome segregation error stage and crossover in trisomic disorders with application to Down syndrome by Zhenhua Li, Wenjian Yang, Gang Wu, Ti-Cheng Chang, Zhongshan Cheng, Meenakshi Devidas, Mary Shago, Andrew J. Carroll, Nyla A. Heerema, Julie M. Gastier-Foster, Brent L. Wood, Lauren Sanclemente, Elizabeth A. Raetz, Stephen P. Hunger, Mignon L. Loh, Eleanor Feingold, Tracie C. Rosser, Emily G. Allen, Stephanie L. Sherman, Karen R. Rabin, Philip J. Lupo, Jun J. Yang

“…Mapping NDJ errors to meiotic/mitotic stages typically requires proband-parent comparison, limiting its applicability. …”
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Polynomial invariants of <i>G</i>-orbit errors of BCH codes and its application by V. A. Lipnitski, E. V. Sereda

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Error Correction for Check Digit Systems over p-Groups and Applications to DNA Sequences by Louis Beaugris

“…Statistical analysis shows that the most common errors in the transmission of information consist of single errors and transposition errors. …”
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Application of a mixed additive and multiplicative random error model to generate DTM products from LiDAR data by Li Guohong, Xin Huijuan, Song Xiaohui, Rehan Khan

“…Utilizing LiDAR data to generate DTM is now a mainstream method. In current applications, LiDAR data are still treated as having primarily additive errors; however, studies have shown that it is affected by both additive and multiplicative errors. …”
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Error Analysis and Artificial Intelligence: Exploring Error Monitoring and Error Treatment Possibilities in EFL by Manuel Macías Borrego

“…Notable observations include a significant reduction in error occurrences, evident in over 70% of cases, along with an enhanced application of grammatical rules observed in over 75% of instances.…”
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Prediction Error and Forecasting Interval Analysis of Decision Trees with an Application in Renewable Energy Supply Forecasting by Xin Zhao, Xiaokai Nie

“…After that, real UK grid data are used in interval forecasting application. In the renewable energy ratio forecasting application, the ratio of renewable energy supply over that of traditional energy can be dynamically forecasted with an interval coverage accuracy higher than 80% and a small width around 22, which is similar to its standard deviation.…”
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Velocity Errors Associated with Application of Inertial Methods for Detecting Rail Surface Short-Wavelength Irregularities by A. V. Bolshakova, A. M. Boronahin, D. Yu. Larionov, L. N. Podgornaya, A. N. Tkachenko, R. V. Shalymov, E. D. Churyaev

“…The developed algorithm considers velocity errors associated with the application of inertial methods for detecting short-wavelength irregularities. …”
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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…In wireless sensor networks (WSNs), effective localization is crucial for applications like target tracking, environmental monitoring, and asset management. …”
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Autofocus and motion error compensation methods for gantry machine in ultra-precise laser machining applications by Piscalov Artur, Mikulis Giedrius, Rafanavicius Vytautas

“…Error compensation by applying motion control methods makes auto-focus easy and reliable in micro-machining applications. …”
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Push-Up Detector Applications Using Quality Function Development and Anthropometry for Movement Error Detection by Ari Muzakir, Christofora Desi Kusmindari

“…The results of this study is an application capable of monitoring each push-up movement to position in accordance with the provisions to minimize injuries resulting from movement errors.…”
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Numerical study of the error sources in the experimental estimation of thermal diffusivity: an application to debris-covered glaciers by C. Beck, C. Beck, L. Nicholson

“…The most commonly used method to calculate effective thermal conductivity of supraglacial debris layers applies heat diffusion principles to a vertical array of temperature measurements through the supraglacial debris cover combined with an estimate of volumetric heat capacity of the debris as presented by <span class="cit" id="xref_text.1"><a href="#bib1.bibx11">Conway and Rasmussen</a> (<a href="#bib1.bibx11">2000</a>)</span>. Application of this approach is only appropriate if the temperature data indicate that the system is predominantly conductive and, even in the case of a pure conductive system, the method necessarily introduces numerical errors that can impact the derived values. …”
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The Support Vector Regression with L1 Norm: Application to Weather Radar Data in Adjusting Rainfall Errors by Asım Egemen Yılmaz, Arzu Ozkaya

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Application of double-error correction codes to protect configuration programmable logic memory against space radiation by E. S. Lepeshkina, N. D. Kustov, V. K. Khanov

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Linking Error Estimation in Fixed Item Parameter Calibration: Theory and Application in Large-Scale Assessment Studies by Alexander Robitzsch

“…The proposed error estimates were evaluated through a simulation study, and their application is illustrated using PISA 2006 data for the reading domain.…”
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Peculiarities of Application of Contact Methods for Measuring the Temperature of Technological Objects by Vasyl Fedynets, Ihor Vasylkivskyi

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Transformative Role of Laser Technology in Ophthalmology and Dermatology: A Mini Review of Precision Applications in Modern Medicine by Haider Hameed, Lina M. Shaker

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A Skew Product Distribution with Applications by Mohammad Shakil, Tassaddaq Hussain, Zahid Ur Rehman, Aneeqa Khadim, Musaddiq Sirajo, J. N. Singh, Mohammad Ahsanullah, B. M. G. Kibria

“…Also, d two real-life environmental data applications are provided. We observed that our proposed skew type product Rayleigh-Error Function distribution fits reasonably well to the datasets considered. …”
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Application of type I and II error analysis to support economic decision-making of using an immunomodulator feed additive by L.T. Casarotto, A. De Vries, J.D. Chapman, L.O. Ely, G.E. Dahl

“…The type I and II error analysis can aid in decision-making process to evaluate the adoption of a new technology.…”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…The effectiveness of the integrated prediction error filter analysis (INPEFA) technique, which reveals the stratigraphic sequence structure with trend and turning points information by highlighting the cyclic features in the logging curves, is verified in a wide range of domestic and international applications. …”
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Branch error reduction criterion-based signal recursive decomposition and its application to wind power generation forecasting. by Fen Xiao, Siyu Yang, Xiao Li, Junhong Ni

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