Inverse analysis method for mathematical modeling of hydrodynamic ballast in a drilling rig by I. R. Antypas, A. G. Dyachenko, B. I. Saed

“…Taking into account the standard error array and the minimum standard error, the statistical errors made during experimental measurements are considered. …”
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An Improvement of Stochastic Gradient Descent Approach for Mean-Variance Portfolio Optimization Problem by Stephanie S. W. Su, Sie Long Kek

“…The results show that the rate of convergence of the Adam algorithm is significantly enhanced by using the AdamSE algorithm. In conclusion, the efficiency of the improved Adam algorithm using the standard error has been expressed. …”
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Thermal Simulation and Experimental Study of QSFP＋ Optical Modules by MAO Jiandong, XIAO Guohua, ZHENG Zijun

“…【Conclusion】It can be shown that the simulation and measurement methods are feasible and the error is small, which provides an important reference value in the design and testing of heat dissipation of high-speed optical modules.…”
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Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast by Dong Wang, Lori R. Arlinghaus, Thomas E. Yankeelov, Xiaoping Yang, David S. Smith

“…We measured the signal-to-error ratio (SER) of the reconstructed images, the error in tumor mean, and concordance correlation coefficients (CCCs) of the derived pharmacokinetic parameters Ktrans (volume transfer constant) and ve (extravascular-extracellular volume fraction) across a population of random sampling schemes. …”
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Effects of Different Numbers of Trials on Saccadometry Test Results by Aysenur Kucuk Ceyhan, Asya Fatma Men, Zahra Polat

“…The prosaccades, mean latency, velocity, directional error, and overall error (Wilcoxon signed ranks test; p > 0.05) and mean accuracy (paired samples t‐test; p > 0.05) did not differ between 100 and 60 trials. …”
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Non-line-of-sight Visible Light Positioning System based on Deep Learning by HUANG Weijie, LIN Bangjiang, DING Yongqi, LUO Jiabin, HUANG Tianming

“…The experimental results show that under NLOS paths, the system's 3D mean error and Root Mean Square Error (RMSE) are 16.09 and 17.18 cm, respectively. …”
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Recurrent neural network consisting of FitzHugh–Nagumo systems: characteristics required for training by Semenova, Nadezhda Igorevna

“…In the process of research, it was found that the use of standard recurrent network training characteristics such as mean squared error or mean absolute error was not applicable to this task, so an alternative method for computing the loss function was proposed. …”
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Comparison of the prediction effects of LSTM, SARIMA and SARIMAX models on the incidence of hand, foot, and mouth disease by ZHANG Xiaoqiao, ZHANG Xiaodie, ZHAO Zhenxi, XIE Pengliu, DAI Min

“…The prediction performance of the three models was compared using mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). …”
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Machine Learning Approach and Model for Predicting Proton Stopping Power Ratio and Other Parameters Using Computed Tomography Images by Charles Ekene Chika

“…Conclusion: The proposed method proves to be more flexible and robust among all presented methods since it has lower testing error in most cases and can be improved based on data using the machine learning algorithm. …”
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Catholic churches or Orthodox cathedrals? Basilicas of Venice and Padua in the notes of Vasily Grigorovich-Barsky by Yu. N. Buzykina

“…The author analyses the attribution error made by Vasily Grigorovich-Barsky in his pilgrimage notes. …”
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Affibody-Modified Gd@C-Dots with Efficient Renal Clearance for Enhanced MRI of EGFR Expression in Non-Small-Cell Lung Cancer [Corrigendum] by Wu Y, Li H, Yan Y, Wang K, Cheng Y, Li Y, Zhu X, Xie J, Sun X

“…The authors apologize for the errors and advise they do not affect the results and conclusions of the paper.…”
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Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning by Miao Qinghao, Zhou Sheng, Yang Jun, Wang Xiaochun, Zhang Min

“…Abstract Background Accurate measurement of anterior segment parameters is crucial for diagnosing and managing ophthalmic conditions, such as glaucoma, cataracts, and refractive errors. However, traditional clinical measurement methods are often time-consuming, labor-intensive, and susceptible to inaccuracies. …”
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Repeatability and Agreement of Anterion with Pentacam HR and Orbscan II in Corneal Parameters after Photorefractive Keratectomy by Hadi Ostadi-Moghaddam, Javad Heravian Shandiz, Mohammad Hosein Validad, Monireh Mahjoob, Abbas Ali Yekta, Sadegh Basharaf, Tahereh Rakhshandadi

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Concurrent Validity of Three Photogrammetric Methods for Assessing Knee Alignment in Sagittal Plane by Bruna Nichele da Rosa, Paula Andryelly Gomes Giendruczak, Marina Ziegler Frantz, Matias Noll, Cláudia Tarragô Candotti

“…Accounting for thigh and leg rotational deviations is critical for achieving accurate measurements, raising the need of accurate tools for measuring rotational changes in the lower limbs to avoid errors.…”
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Maternal BMI and Diagnostic Accuracy of Using Estimated Fetal Growth to Predict Abnormal Birthweight: Results from NICHD Fetal Growth Studies by Soutik Ghosal, Jessica L. Gleason, Katherine L. Grantz, Zhen Chen

“…EFW absolute and percent errors were comparable across BMI groups in the full, AGA, and LGA birth cohorts separately, but they trended lower (<i>p</i> = 0.12 and 0.15 for absolute and percent errors, respectively) in the overweight/obese group in the SGA birth cohort. …”
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Interpreting Change in Sport Concussion Assessment Tool-5th Edition (SCAT5) Scores in National Rugby League Women’s Premiership Players by Shreya McLeod, Douglas P. Terry, Andrew J. Gardner, Grant L. Iverson

“…A change of + 2 total modified Balance Error Scoring System errors occurred in fewer than 10% of the NRLW players between the test and retest. …”
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Vibration testing and safety assessment of compressor outlet piping for compressor station by Ping XIE, Chen SHANG, Shuyi XIE, Lifeng LI, Yang DU

“…Results By comparing the calculation results obtained using the finite element model with the measured stress at the compressor station, it was found that the maximum error of the calculation results was 17.5%, demonstrating the accuracy of the devised model. …”
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Evaluating the Effectiveness of Artificial Intelligence in Prostate Cancer Detection using Biparametric Magnetic Resonance Imaging: A Comparative Study by Rossy Vlăduţ TEICĂ, Ioana Andreea GHEONEA

“…Error distribution included 36% false-negative findings, 21% false-positive findings, 20% PI-RADS (Prostate Imaging-Reporting and Data System) overestimations, and 23% PI-RADS underestimations. …”
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Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…The corresponding mean absolute error (MAE) on the test set was 0.170, indicating excellent average prediction accuracy. …”
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A new deep learning model for predicting IMRT dose distributions for lung cancer with dose masks by Xuezhen Feng, Xuezhen Feng, Mingqing Wang, Xinyan Lin, Xinyan Lin, Can Li, Can Li, Yuxi Pan, Guoping Zuo, Ruijie Yang

“…However, dose prediction for lung cancer IMRT is limited to conventional radiotherapy, with significant errors in predicting the intermediate and low-dose regions.MethodsWe included a mixed dataset of conventional radiotherapy and simultaneous integrated boost (SIB) radiotherapy with various prescription schemes. …”
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