Research on accuracy enhancement methods for highway slope deformation monitoring based on the BeiDou system. by Yuhong Luo, Geyu Chen

“…The research methodology comprises multipath effect analysis and modeling, a real-time error correction mechanism based on correction signals, and further enhancement of accuracy and stability through the integration of Kalman filtering and multi-source data fusion optimization techniques. …”
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Kinetics and Thermodynamics of β-Carotene Adsorption onto Acid-Activated Clays Modified by Zero Valent Iron by J. Nga, J. Avom, J. Tonga Limbe, D. Ndinteh, H. L. Assonfack, C. M. Kede

“…To determine the best fit kinetic model for each system, three error analysis methods, namely, chi-square (χ2), residual mean squared error (RMSE), and mean percent error (%APE) were used to evaluate the data. …”
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Tidal Characteristics for Disaster Preparedness in the Port Area (Case Study: Port of Semarang, Central Java) by Nurkhalis Rahili, Buddin Al Hakim, Danang Ariyanto, Eny Cholishoh, Aprijanto Aprijanto, Destianingrum Ratna Prabawardani, Tjahjono Prijambodo, Gugum Gumbira

“…The result will be used to provide input for strategic steps and preparation for disaster preparedness that will occur in the near future. Tide data analysis using MIKE21, the IOS method. The result shows data comparison error < 5% and a Formzahl value of 1.797 with the type of tide mixture prevailing diurnal and the change of water level up to 10 cm.y-1.…”
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(ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks by BI Ran, LI Jian-zhong, CHENG Si-yao

“…A sampling based approximate Top-k algorithm was proposed that is adaptive for any data distribution.δ≥0 and 0≤δ<1 are respectively relative error bound and failure probability bound.The theoretical analysis demonstrates that for any δ≥0 and 0≤δ<1 the probability that the relative error bound of the results returned by this algorithm is larger than ε/（1+ε） is less than δ.So the proposed algorithm can reach arbitrary precision.Furthermore,an optimal sampling algorithm was proposed that supported the approximate Top-k query,and through the technique of data filtering the en-ergy consumption of communication was reduced.Theoretical analysis and simulation show that the proposed algorithm is efficient and consumes little energy.…”
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Retracted: VR Technology in Marketing From the Perspective of Customer Experience by Xiangxi Kong, Dewen Liu, Liangyu Min

“…Based on the application of VR technology in marketing from the perspective of customer experience, the research results show that after using the research method of this article, the data error rate is significantly controlled, and the data error rate is maintained within five percentage points, compared with previous studies The method data accuracy rate is increased by 15&#x0025;, and the data accuracy rate is higher, which has certain practical value.…”
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Development and validation of a prognostic model for postoperative hypotension in patients receiving epidural analgesia by Carlos E. Guerra-Londono, Erika Taco Vasquez, Efrain Riveros, Ehsan Noori, David Greiver, Srikanth Pillai, Theodore Schiff, James Soetedjo, Maylyn Wu, Jaime Garzon Serrano

“…Conclusion: Using retrospective cohort data, a prognostic model of hypotension produced the best performance results using linear discriminant analysis, with an error misclassification rate of 27%. …”
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Optimized Multivariate Adaptive Regression Splines for Predicting Crude Oil Demand in Saudi Arabia by Eman H. Alkhammash, Abdelmonaim Fakhry Kamel, Saud M. Al-Fattah, Ahmed M. Elshewey

“…Analysis of variance (ANOVA) was also applied to reveal the predicting result of the crude oil demand in Saudi Arabia and also to compare the actual test data and predict results between different predicting models. …”
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Accuracy Improvement Method of a 3D Laser Scanner Based on the D-H Model by Kai Chen, Kai Zhan, Xiaocong Yang, Da Zhang

“…Hence, this study proposes a 3D laser scanner error analysis and calibration-method-based D-H model, applies the D-H model method in the robot area to the 3D laser scanner coordinate for calculating the point cloud data and creatively derive the error model, comprehensively analyzes six external parameters and seven inner structure parameters that affect point cloud coordinator error, and designs two calibration platforms for inner structure parameters. …”
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Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process by Sabrina Al Bukhari, Salman Pervaiz

“…A comprehensive dataset of the cutting parameters and outcomes was utilized to train and validate these models, aiming to enhance the accuracy of the predictive analysis. The performance of each model was evaluated based on error metrics such as the mean squared error (MSE) and R-squared values. …”
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轴类零件形位误差的数据处理 by 朱芳利, 葛动元, 岳卫宏

“…This paper discusses the measurement of geometrical error such as circularity,concentricity of typical shafts parts with optical indexing head in the multi-propose instrumental microscope.It also introduces the applying and the accuracy analysis of the least square of error and Householder matrix in data processing.…”
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Prospective mathematics teachers’ mental actions related to debugging in technology supported mathematical modeling by Süleyman Emre Aktaş, Çağlar Naci Hıdıroğlu

“…According to the results obtained from the data through content analysis based on the theoretical framework, it was identified that the student teachers conducted sub-activities such as recognizing/detecting the error, extracting the error, and correcting the error, which is one of the dimensions of computational thinking in technology-supported mathematical modeling. …”
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Advancing methods for comparative urban research: A city-centric protocol and longitudinal dataset for US metropolitan statistical areas. by Jason R Jurjevich, Katie Meehan, Nicholas M J W Chun, Greg Schrock

“…We argue that by centering the urban area as the fundamental unit of analysis-a city-centric approach-our methodology and dataset provides robust and dynamic metropolitan definitions that advance comparative urban studies while improving precision and accuracy in urban data analysis across different time scales. …”
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Chaotic Vibration Prediction of a Laminated Composite Cantilever Beam by Xudong Li, Lin Sun, Xiaopei Liu, Yili Duo

“…The prediction results are primarily evaluated using two metrics: mean absolute error (MAE) and root mean square error (RMSE). The analysis results show that the maximum MAE is 0.041 and the maximum RMSE is 0.067. …”
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The mean point of vergence is biased under projection by Xi Wang, Kenneth Holmqvist, Marc Alexa

“…Our analysis continues with an evaluation on real experimental data. …”
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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

“…Researchers are mainly interested in using soft computing artificial intelligence (AI) methods due to their broad applications in analysis, modelling and simulations. Backpropagation neural networks, one of the supervised learning algorithms, is commonly used to train data networks by optimizing the error between actual and predicted values. …”
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Parameter Calibration of Rotating Wave Plate Polarization Detection Device Using Dual Beams by Haonan Zhang, Junbo Liu, Ziliang Yan, Chuan Jin, Jian Wang, Song Hu

“…To address the existing calibration methods’ insufficient accuracy and incomplete consideration of the error parameters, this study constructed an error-transfer analytical model for an in-depth analysis of the principle of measuring Stokes parameters using the rotating wave plate method. …”
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Dimensionality Reduction Optimization of High Subsonic Unmanned Aerial Vehicles Intake by Zeqi QI, Zheng GUO, Suqi CHEN, Ke YU

“…Specifically, for outlet total pressure distortion, the Kriging model trained with sensitivity analysis data had an average error reduced by 0.060 47 compared to the training results without dimensionality reduction, while the Kriging model trained with PCA data had an average error reduced by 0.051 05. …”
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Long-Time Predictive Modeling of Nonlinear Dynamical Systems Using Neural Networks by Shaowu Pan, Karthik Duraisamy

“…Inspired by global stability analysis, and the observation of strong correlation between the local error and the maximal singular value of the Jacobian of the ANN, we introduce Jacobian regularization in the loss function. …”
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Quantum secure communication algorithm based on cyclic code and information compression by Hongyang MA, Xin ZHANG, Peng’ao XU, Fen LIU, Xingkui FAN

“…For the problem that the classical secure communication was challenging to transmit information,a quantum secure communication algorithm based on cyclic code and information compression was proposed.First,the data was encoded into two sets of data with different lengths by the sender,one set of data was used for cycling coding and the other one was used to compress coding.Second,single-photon sequence was transmitted to the receiver on the quantum channel by the sender.The error number was used as the basis of channel security detection.If the channel was secure,quantum states were encoded for the data,and segment transmitted by quantum stabilizer codes.The error caused by the environment can be overcome according to characteristic of the stable code.Finally,the information was decoded after receiving the quantum information,then recirculated and decompressed to obtain data.The security analysis shows that the quantum secure communication algorithm can resist the attack of jamming and spoofing attacked.The simulation results show that good results can be obtained to 5 segments for data compression.…”
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Parameter identification of unmanned surface vehicle MMG model based on an improved extended Kalman filter by Pengbo SUN, Zaopeng DONG, Wei LIU, Jinliang SHENG, Zhihao LI

“…Finally, the identified parameter values are substituted into the established MMG model, and the rudder angle and main engine speed consistent with the real boat data are input. The heading angle, longitudinal velocity, transverse velocity, heading angle rate and position information data are obtained through simulation, and the comparative analysis is carried out. …”
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