Addressing Spatial Variability in Estimating Cover Management Factor of Soil Erosion Models using Geoinformatics: A Case Study of Netravati Catchment, Karnataka, India by Waleed Makhdumi, Shwetha H. R., G. S. Dwarakish, Jagadeesha B. Pai

“…The model’s performance was evaluated using statistical metrics, including a correlation coefficient of 0.984, mean absolute error of 0.048, root mean square error of 0.058, and Kling-Gupta efficiency of 0.921, indicating superior accuracy compared to existing methods. …”
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Leveraging machine learning techniques to analyze nutritional content in processed foods by K. A. Muthukumar, Soumya Gupta, Doli Saikia

“…Model performance was evaluated using Normalized Mean Squared Error (NMSE) as the evaluation metric. The results indicated that the RF model achieved an NMSE of approximately 0.35, reflecting a moderate level of prediction error relative to data variance. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…Assessment metrics, such as the coefficient of determination (R²), root mean square error (RMSE), and mean absolute error (MAE), emphasize the MLP model’s exceptional performance. …”
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Test-retest reliability of the twenty-five-hole peg test in patients who had a stroke by Fredrik Granström, Mattias Hedlund, Britta Lindström, Staffan Eriksson

“…The use of an average of three trials compared with a single trial substantially reduces the measurement error.Trial registration number ISRCTN registry, reference number ISRCTN24868616.…”
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Designing Health Care Provider–Centered Emergency Department Interventions: Participatory Design Study by Woosuk Seo, Jiaqi Li, Zhan Zhang, Chuxuan Zheng, Hardeep Singh, Kalyan Pasupathy, Prashant Mahajan, Sun Young Park

“…These challenges and pressures may lead to potential errors in the ED diagnostic process and risks to patient safety. …”
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Enhancing Consumer Agent Modeling Through Openness-Based Consumer Traits and Inverse Clustering by Brahim Benaissa, Masakazu Kobayashi, Hiroshi Takenouchi

“…This method iteratively refines cluster assignments to optimize prediction performance, minimizing errors in forecasting consumer design preferences. …”
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Attention-Based Load Forecasting with Bidirectional Finetuning by Firuz Kamalov, Inga Zicmane, Murodbek Safaraliev, Linda Smail, Mihail Senyuk, Pavel Matrenin

“…We present a mathematical framework supporting this approach, demonstrating its potential to reduce forecasting errors and improve robustness. Experimental results on real-world load datasets indicate that our bidirectional model outperforms state-of-the-art conventional unidirectional models, providing a more reliable tool for short and medium-term load forecasting. …”
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TAME Pain data release: using audio signals to characterize pain by Tu-Quyen Dao, Eike Schneiders, Jennifer Williams, John Robert Bautista, Tina Seabrooke, Ganesh Vigneswaran, Rishik Kolpekwar, Ritwik Vashistha, Arya Farahi

“…Abstract Accurately assessing pain through speech remains a challenge in medical practice, with profound implications for patient care and patient health outcomes. …”
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Ethics in Translation: A Pathway to Integrity in Future Professionals by علي علي أحمد مطير, فايز الجوبعي, مفرح ظاهر الحازمي

“…Nevertheless, translators continue making errors and facing difficulties, especially with sensitive content and multifaceted cultures. …”
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Reduction of Electromagnetic Reflections in 3D Airborne Transient Electromagnetic Modeling: Application of the CFS-PML in Source-Free Media by Yanju Ji, Xuejiao Zhao, Jiayue Gu, Dongsheng Li, Shanshan Guan

“…Consequently, the CFS-PML has good implications for ATEM modeling in a source-free medium.…”
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Complexity, Accuracy and Fluency (CAF) oF EFL College Learners’ Writing : The CLIL and Non-CLIL Classes by Masrul, Sharifah Sheha Syed Aziz Baftim, Bayu Hendro Wicaksono

“…Students' essays were evaluated quantitatively using some aspects of linguistic proficiency, such as complexity, accuracy, and fluency. The errors were classified as syntactic, morphological, lexical, lexicogram, spelling, and punctuation mistakes. …”
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Digital Solution for Effective Management of Remote Work: The Case of Kazakhstan Railway by Adilova Nazdana, Sultanbek Madiyar, Sarzhanov Dauren, Sładkowski Aleksander, Zhanseitov Azamat

“…Other significant recommendations of this study will be to reduce manual errors through the application, optimize resource allocation, and help improve overall organizational productivity· However, the research also points out that some challenges—such as those with user adoption and technical integration—remain open for further study. …”
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Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees by Şemsettin Çiğdem, Ieva Meidute-Kavaliauskiene, Bülent Yıldız

“…Using industrial robots as part of an automation system results in many competitive benefits, including improved quality, efficiency, productivity, and reduced waste and errors. When robots are used in production, human coworkers’ psychological factors can disrupt operations. …”
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Development of approach to an automated acquisition of static street view images using transformer architecture for analysis of Building characteristics by Seunghyeon Wang

“…Typically, camera parameters such as pitch and heading need precise adjustments to clearly capture these features. However, system errors during image acquisition frequently result in unusable images. …”
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Young peoples’ reflections about using a chatbot to promote their mental wellbeing in northern periphery areas - a qualitative study by Catrine Kostenius, Frida Lindstrom, Courtney Potts, Niklas Pekkari

“…Theme 3, usability can be improved, given technical errors due to lack of internet connection and difficulty navigating the chatbot were brought up as issues. …”
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An Anomaly Detection Method for Multivariate Time Series Data Based on Variational Autoencoders and Association Discrepancy by Haodong Wang, Huaxiong Zhang

“…By combining reconstruction errors and association discrepancy, the model achieves more accurate anomaly detection. …”
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Automatic Threshold Selection for Generalized Pareto and Pareto–Poisson Distributions in Rainfall Analysis: A Case Study Using the NOAA NCDC Daily Rainfall Database by Roberto Mínguez

“…This study develops an automatic, statistically sound procedure for optimal threshold selection, leveraging weighted mean square errors and internally studentized residuals. The proposed method outperforms existing approaches in terms of accuracy, as demonstrated through numerical experiments and its application to real-world data from the NOAA NCDC Daily Rainfall Database. …”
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Impact of artificial intelligence using the robotic process automation system on the efficiency of internal audit operations at Jordanian commercial banks by Abdalla Alassuli

“…The findings indicate that robotic process automation systems enhance the internal audit process by reducing the cost of operations, eliminating human errors, and smoothing work processes. The robotic process automation system will allow continuous auditing, real-time risk management, and proper reporting; hence, it will change the role of internal auditors and, in the end, improve organizational compliance and performance. …”
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Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning by Yintao Liu, Chao Ren, Hongjuan Shao

“…Unlike traditional methods that require separating direct and reflected signals, these approaches leverage carrier phase and pseudorange multipath errors to improve accuracy. The new methods eliminate the impact of geometrical factors and atmospheric delays. …”
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EVALUATION OF THE BARRIERS TO THE USE OF APPROPRIATE CONSTRUCTABILITY PRACTICES ON CONSTRUCTION PROJECTS by Abimbola Olukemi Windapo, Olabode Emmanuel Ogunsanmi

“…Results indicated that constructability practices common to contractors include checking M & E drawings for clashes and errors; site-layout planning; and preparation of schedule/construction programmes. …”
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