Stereo Vision Method Application to Road Inspection by Marcin Staniek

“…The paper also aims at comparing the results of proposed solution and reference test-bench. The statistical analysis of the differences permits the judgment of error types.…”
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Model Building for Regional Ecological Risk Prediction and Evaluation of Prediction Accuracy by Jia Shao, Bei-lan Li, Wei-jun Liu, Min Chen

“…Taking Xiangxi Tujia and Miao Autonomous Prefecture as an example, twelve primary factors affecting regional risk are selected. The sample data are processed by principal component analysis. …”
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A new method for dealing with collider bias in the PWP model for recurrent events in randomized controlled trials by Chen Shi, Jia-Wei Wei, Zi-Shu Zhan, Xiao-Han Xu, Ze-Lin Yan, Chun-Quan Ou

“…The characteristic of the simulation data was the baseline hazard changed with the number of events. …”
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Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study by Junan Xie, Shilin Li, Zhen Song, Lin Shu, Qing Zeng, Guozhi Huang, Yihuan Lin

“…Furthermore, model stacking and average ensemble learning methods were adopted to further improve the generalization performance of the model. Mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE) were used as regression performance metrics to evaluate the results of different models. …”
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Drug-Resistant Tuberculosis Hotspots in Oliver Reginald Tambo District Municipality, Eastern Cape, South Africa by Lindiwe Modest Faye, Mojisola Clara Hosu, Teke Apalata

“…The Linear Regression model predicts a continued decline to zero cases by 2026, with an R² = 0.865, a mean squared error (MSE) of 507.175, and a mean absolute error (MAE) of 18.65. …”
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STRATEGIC POSTPONEMENT IN FAST FOOD OPERATIONS: ENHANCING ORDER FULFILMENT IN A FRONTIER EMERGING MARKET by Paul MUKUCHA, Divaries Cosmas JARAVAZA, Fanny SARUCHERA

“…Utilising a causal research framework, the study gathered data from a survey of 100 fast food establishments in Harare, employing Multivariate Analysis of Variance (MANOVA) for data analysis, complemented by Bonferroni correction to mitigate type 1 error from multiple comparisons. …”
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The Spacecraft Parabolic Antenna Payload Orientation Estimation Method Based on the Step Effect of Measured Radar Cross Section Sequences by Junzhi Li, Xin Ning

“…As such, this paper proposes a method for estimating the orientation of spacecraft parabolic antenna payloads based on radar-measured radar cross section (RCS) sequence data. By utilizing the step effect produced when the ground-based radar observes the parabolic antenna payload, the mathematical model for estimating the orientation of the parabolic antenna payload is established through the analysis of the geometric relationship between the radar observation vector and the antenna payload orientation in the orbital coordinate system. …”
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Fractional Vegetation Cover Change Detection In Megacities Using Landsat Time-Series Images: A Case Study Of Hanoi City (Vietnam) During 1986-2019 by Thanh Tien Nguyen

“…The estimated FVC results were validated using the field survey data. The assessment of FVC changes was finally carried out using spatial analysis in GIS. …”
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Determining Factors Affecting Mobile Government Usage: Ankara Province Case by Vildan Ateş

“…The construct reliability and convergence validity of the scale were performed by confirmatory factor analysis (CFA). As a result of the analysis, t values, error variances, standard coefficients and fit indexes of the seven factors in the theoretical model were checked. …”
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Research on the evolution and prediction of the heights of water-conducting fracture zones in overlying rocks during layered mining of extremely thick coal seams by MENG Hailun, CHENG Xianggang, QIAO Wei

“…The model showed that correlation index R2＞0.90, MAE＜6.5 m, −0.5 m＜MBE＜0.5 m, indicating that the PSO-SVR model was capable of predicting the heights of water-conducting fracture zones in layered full-mechanized mining. ⑤ By substituting the data from the working face 9-15(08) into the PSO-SVR model, the absolute error between the predicted and observed values was 12.52 m, and the relative error was 4.86%, indicating that the PSO-SVR model could effectively and accurately predict the heights of the water-conducting fracture zones in extremely thick coal seams mining.…”
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圆盘式磁流变传动装置输出转矩的计算 by 郭崇志, 万志维

“…Numerical method of Finite Element is applied to build finite element model with different gap,the distribution of magnetic flux density along the radius under different current intensity of the circular plate MRF transmitting device is analyzed,the relation between the magnetic flux density and radius is determined by analyzing,handling and fitting the result data.The fitting expression is substituted in the calculation formula of torque.the curves between the output torque and gap under different intensity is done in the end.The influence of the change gap and current intensity on the MRF transmission is analyzed,which is based on the relation between torque and gap.Finally the simple empirical relationship of transmission torque calculated according to current and gap is received,and the error analysis shows that the empirical formula has sufficient accuracy for the project application.…”
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Komparasi Algoritma Klasifikasi Dengan Menggunakan Anaconda untuk Memprediksi Ramai Penonton Film di Bioskop by Rano Agustino

“…From this problem, researchers are interested in analyzing data relating to film audiences in the cinema. By using CART classification, NBC (Naive Bayes Classifier) algorithm, SVM (Support Vector Machine), LR (Logis Text Regression) and LDA (Linear Discriminant Analysis) which will be compared which accuracy is the best for predicting the absence or absence of the audience. …”
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Metacognitive Awareness and Comprehension Monitoring in Reading Ability of Iranian EFL Learners by Fatemeh Khonamri, Elahe Mahmoudi Kojidi

“…Think-aloud protocol analysis, error detection and retrospective questions were used to examine the comprehension monitoring of readers. …”
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Bayesian estimation strategy for multi-component geometric life testing model under doubly type-1 censoring scheme

“…The strategy is evaluated through extensive simulation and real-life data analysis, showing the strength and efficiency of the newly proposed model. …”
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A Novel Sub-Type Mean Estimator for Ranked Set Sampling with Dual Auxiliary Variables by Eda Gizem Koçyiğit

“…The mathematical formulas of the proposed estimator’s mean square error and bias are presented and theoretically contrasted with an analogous estimator found in the existing best sub-estimator literature. …”
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Decision Support System on Independent Curriculum Learning Models with Artificial Intelligence at Islamic Universities by Liza Efriyanti, Ihwana As'ad

“…The validation of this AI-based model, utilizing 2023 historical data from five Islamic universities in West Sumatra, yielded an average Mean Absolute Error (MAE) of 0.64, thereby demonstrating good predictive accuracy. …”
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Continuous Monitoring of Recruits During Military Basic Training to Mitigate Attrition by Robbe Decorte, Jelle Vanhaeverbeke, Sarah VanDen Berghe, Maarten Slembrouck, Steven Verstockt

“…Furthermore, we developed a predictive model using physiological data, such as sleep scores and step counts from Garmin devices, achieving a macro mean absolute error (MAE) of 0.74. …”
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Machine learning approach for multidimensional poverty estimation by Mario Esteban Ochoa Guaraca, Ricardo Castro, Alexander Arias Pallaroso, Antonia Machado, Dolores Sucozhañay

“…An error of 7.5% was obtained in the cross-validation and 7.48% with the test data set. …”
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Optimizing the compliance third-party supervision workflow of involved enterprises using artificial intelligence ant colony algorithm by Danqi Chen, Weichen Jia, Qi Chen, Jianing Chen, Zhi Li

“…The basic principles and application advantages of ACO were introduced, and a heuristic information matrix was defined using ACO to optimize the data collection and analysis stage of the compliance third-party supervision workflow. …”
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The function of ASR-generated live transcription in simultaneous interpreting: trainee interpreters’ perceptions from post-task interviews by Xiaoman Wang, Binhua Wang, Lu Yuan

“…The interviews were analysed in triangulation with the eye-tracking data about their interpreting behaviours. The results show that most participants perceived live transcription beneficial, with data indicating improved performance and lowered error rates in terms of terminologies, numbers, and proper names. …”
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