A Texture-Based Simulation Framework for Pose Estimation by Yaoyang Shen, Ming Kong, Hang Yu, Lu Liu

“…Physical experiments confirmed the practical feasibility, yielding 2.7–3.3° mean errors. This work bridges the simulation-to-reality gaps in symmetric object localization, with implications for robotic manipulation and industrial metrology, while highlighting the need for material-aware texture adaptations in future research.…”
Get full text

A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…We gave the theoretical error bounds of the proposed approach in approximating the NLSGE. …”
Get full text

Deep neural network approach integrated with reinforcement learning for forecasting exchange rates using time series data and influential factors by T. Soni Madhulatha, Dr. Md. Atheeq Sultan Ghori

“…These quantitative achievements demonstrate the model’s power and robustness in minimizing forecast errors. The model proposed in this study has significant implications for financial forecasting, improving the decision-making capabilities of traders, investors, and policy-makers. …”
Get full text

Classification of oil palm tree conditions from UAV imagery using the YOLO object detector by Aakash Thapa, Teerayut Horanont, Bipul Neupane, Jirawan Klaylee, Apichon Witayangkurn

“…Oil palm tree monitoring is essential to track productivity and prevent diseases, but manual methods are labor-intensive, cost-prohibitive, and error-prone. While existing remote sensing data and deep learning methods offer efficient alternatives for monitoring, achieving a highly accurate tree condition classification remains a challenge. …”
Get full text

The Role of Visual Information Quantity in Fine Motor Performance by Giulia Panconi, Vincenzo Sorgente, Sara Guarducci, Riccardo Bravi, Diego Minciacchi

“…Background/Objectives: Fine motor movements are essential for daily activities, such as handwriting, and rely heavily on visual information to enhance motor complexity and minimize errors. Tracing tasks provide an ecological method for studying these movements and investigating sensorimotor processes. …”
Get full text

Modeling the distribution and progression of motor ability among children with cerebral palsy: An analysis of three reference centile sets by Rachel Sanderlin, Charlotte Schluger, Joe Wu, Francis Ang Eusebio, Amy L. Roberts, Laura Prosser

“…Prediction errors increased at younger ages and higher motor ability. …”
Get full text

Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio by Lulut Alfaris, Anas Noor Firdaus, Ukta Indra Nyuswantoro, Ruben Cornelius Siagian, Aldi Cahya Muhammad, Rohana Hassan, Rodulfo T. Aunzo, Jr., Reza Ariefka

“…The performance evaluation model is carried out using predetermined machine learning assessment criteria, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and R-squared. …”
Get full text

Investigating Factors Influencing Faculty Members’ Digital Competence for Capacity Building on Open and Distance Education in HEIs by Özlem Ozan, Yasin Özarslan

“… In order to create successful strategies for building adequate capacity by enhancing skills, we examined the impact of faculty members’ access to technology and support, perception of distance education, self-efficacy, and error management on their digital competence using a quantitative, descriptive, and correlational design. …”
Get full text

A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles by Romdhane Nasri, Jannet Jamii, Majdi Mansouri, Zouhaier Affi, Vicenc Puig

“…Extensive experimental validation on an autonomous vehicle platform yields outstanding performance metrics: lateral tracking errors of 0.0225 m (RMSE), heading errors of 0.0476 rad, and longitudinal velocity tracking errors of 0.2725 m/s. …”
Get full text

Investigation of Welding Forces and Torque Measurement using Octagonal Ring Dynamometer in Refill Friction Stir Spot Welding of Pure Copper by Xiaole Ge, I.N. Kolupaev, Di Jiang, Hongfeng Wang

“…The results show that the calibration errors for axial force, torque, and lateral force were 0.97%, 3.78%, and 1.56%, respectively, with cross-sensitivity errors below 5%. …”
Get full text

Auditor-provided tax services and tax accrual quality in Brazil by Luis Paulo Guimarães dos Santos, Sheizi Calheira de Freitas

“…The research adapted the empirical model of Choudhary et al. (2021) and estimated the relationship between the variables of interest using panel data with robust standard errors and a variety of econometric models that address issues related to unobserved heterogeneity between firms, endogeneity, selection bias, outliers, and specification error. …”
Get full text

Predicting Performance of Call Center Staff: The Role of Cognitive Ability and Emotional Intelligence by Luke Treglown, Adrian Furnham

“…The number of errors an employee made was significantly positively correlated with all four EQ factors. …”
Get full text

Accuracy of Vegetation Height and Terrain Elevation Derived from Terrestrial Ecosystem Carbon Inventory Satellite in Forested Areas by Zhao Chen, Sijie He, Anmin Fu

“…Our analysis revealed that TECIS-derived ground and canopy height estimates exhibited mean errors of 0.7 m and −0.35 m, respectively, with corresponding root mean square error (RMSE) values of 3.83 m and 2.70 m. …”
Get full text

Spatiotemporal evaluation of irrigation groundwater quality in Hungarian agricultural sites using hydrochemical and machine learning approaches by Musaab A. A. Mohammed, Norbert P. Szabó, Viktória Mikita, Péter Szűcs

“…A Convolutional Neural Network (CNN) model was developed to predict IWQI from key water quality parameters, aiming to reduce manual calculation errors. HCA indicated low to moderate mineralization in most samples, while SOMs revealed notable spatial and temporal shifts, including gradual degradation due to natural and anthropogenic factors. …”
Get full text

Performance Comparison of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) in Verifying Material Orientation by Eldio Utama, Eko Rudiawan Jamzuri

“…These results indicate that while both methods are highly effective for material orientation verification, kNN offers significant advantages in terms of computational speed, making it more suitable for real-time applications. The implications of this study highlight the potential for integrating the proposed method in industrial applications, promoting enhanced efficiency and reducing error rates in automated assembly lines. …”
Get full text

Contrastive Analysis of Concord in Arabic, English, and Indonesian by Supardi Supardi, Abdel Karim Muhammad Hassan Jabal

“…Recognizing the differences in concord among languages will be very important to avoid mistakes in using these languages because concord errors are the most common errors in language use. …”
Get full text

Analysis of past and future temperature variability and change in Southern Ethiopia by Alefu Chinasho, Bobe Bedadi, Tesfaye Lemma, Tamado Tana, Bisrat Elias, Tilahun Hordofa

“…Research limitations/implications – This research did not remove the uncertainties of models (inherited errors of models) in future temperature projections. …”
Get full text

Exploring Grammatical Structure: A Corpus Analysis on the Use of “To Be” in Vocational Students’ WhatsApp Group Conversations using AntConc by Muhammad Arba’in, Itsna Millatul Himmayati, Dwi Hastuti, Desi Nosita, Triyoko Triyoko

“…It would include insights into conversational patterns and the prevalence of errors. The implications of the study highlight the importance of more intensive lessons for students. …”
Get full text

Optimal number of stabilizer measurement rounds in an idling surface code patch by Áron Márton, János K. Asbóth

“…We model the environmental noise on the circuit level, including gate errors, readout errors, amplitude and phase damping. …”
Get full text

Referral rate for refractive amblyopia using automated vision screening in school children in Beirut, Lebanon. by Zahi Wehbi, Hanadi Ibrahim, Youssef Zougheib, Zeinab El Moussawi, Dalia El Hadi, Christiane Al-Haddad

“…There was a significant difference in referral rates overall and across the different types of refractive error when compared with the other referral criteria. …”
Get full text