Neural-Augmented Hybrid Dynamic Modeling of a Series-Parallel Elastic Actuator by Timur Umurzakov, Sharafatdin Yessirkepov, Michele Folgheraiter

“…This hybrid framework, integrating an ESN, achieved lower prediction error and better performance than other ANN architectures, as confirmed by experimental results.…”
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Ventilation Modeling of a Hen House with Outdoor Access by Hojae Yi, Eileen Fabian-Wheeler, Michael Lee Hile, Angela Nguyen, John Michael Cimbala

“…The simulations of four ventilation scenarios predict the measured air flow velocity with an error of less than 50% for three of the scenarios, and the simulations predict temperature with an error of less than 6% for all scenarios. …”
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Leveraging deep learning for risk prediction and resilience in supply chains: insights from critical industries by Waleed Abdu Zogaan, Nouran Ajabnoor, Abdullah Ali Salamai

“…In the food and automotive sectors, the GRU model had the lowest mean absolute error and mean squared error, while the ANN model performed best in predicting electricity demand. …”
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TSVD Regularization-Parameter Selection Method Based on Wilson-θ and Its Application to Vertical Wheel-Rail Force Identification of Rail Vehicles by Jiaxin Wu, Tao Zhu, Yijun Wang, Cheng Lei, Shoune Xiao

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A Conceptual Framework for User Trust in AI Biosensors: Integrating Cognition, Context, and Contrast by Andrew Prahl

“…Second, we integrate task context by situating sensor applications along an intellective-to-judgmental continuum and showing how demonstrability predicts tolerance for sensor uncertainty and/or errors. Third, we analyze contrast effects that arise when automated sensing displaces familiar human routines, heightening scrutiny and accelerating rejection if roll-out is abrupt. …”
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Assessing the impact of sampling bias on node centralities in synthetic and biological networks by Ali Salehzadeh-Yazdi, Marc-Thorsten Hütt

“…However, their accuracy is often affected by observational errors and incomplete data. This study investigates how sampling biases systematically impact centrality measures. …”
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Harnessing laboratory data for poliovirus eradication: contributions of the Africa regional polio laboratory data management team, 2022 – 2024 by Brook Tesfaye, Reggis Katsande, Doungmo Wakem Yannick Arthur, Julius E Chia, Chefor Ymele Demeveng Derrick, Ikeonu Obianuju Caroline, Kabore Sakma, Mahmud Zubairu, Busisiwe Ngobe, Abdulahi Walla Hamisu, Ticha Johnson Muluh, Kebba Touray, Modjirom Ndoutabe, Jamal A Ahmed, Anfumbom Kfutwah

“…The development of a sophisticated automated data quality assurance script has improved data accuracy and reliability, with 65 weekly line lists of errors provided for data correction. Additionally, the introduction of the biweekly Africa Regional Polio Laboratory Network (ARPLN) bulletin and real-time dashboards has optimized data use, aiding in actionable insights and decision-making. …”
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Regional MRI Perfusion Measures Predict Motor/Executive Function in Patients with Clinically Isolated Syndrome by Efrosini Z. Papadaki, Panagiotis G. Simos, Vasileios C. Mastorodemos, Theodora Panou, Thomas G. Maris, Apostolos H. Karantanas, Andreas Plaitakis

“…On the set shifting condition of the respective task significant, positive associations were found between error rates and CBV values in the semioval center and periventricular NAWM bilaterally. …”
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Experimental Evaluation of Multi- and Single-Drone Systems with 1D LiDAR Sensors for Stockpile Volume Estimation by Ahmad Alsayed, Fatemeh Bana, Farshad Arvin, Mark K. Quinn, Mostafa R. A. Nabawy

“…The multi-drone system achieved an average volumetric error of 1.3%, similar to the single drone with a static sensor, but with less than half the flight time. …”
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Noise resilience in adaptive and symmetric monitored quantum circuits by Moein N. Ivaki, Teemu Ojanen, Ali G. Moghaddam

“…Hence, if challenges like postselection are addressed, errors do not prevent the observation of symmetry-enforced phases in noisy intermediate-scale quantum (NISQ) devices. …”
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Seasonal impact of particulate matter exposure on urinary health of mine workers in iron ore mining environment by Vibhanshu Vaibhav Singh, Aron Rodrick Lakra, Sneha Gautam

“…Advanced regression and correlation analyses revealed strong associations between urine markers and PM exposure, with exceptionally high R² values across departments: 0.984 for excavation, 1.000 for crushing, 0.969 for downhill, 0.963 for screening, and 0.992 for loading, indicating a precise relationship. Low mean squared error (MSE) and root mean squared error (RMSE) values further underscored the model's predictive accuracy. …”
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Entropy-Driven Adaptive Neighborhood Selection and Fitting for Sub-Millimeter Defect Detection and Quantitative Evaluation in Magnetic Tiles by Jiaxiong Huang, Qinyuan Huang, Wengziyang Jiang, Fei Sun

“…Even when the point cloud density decreases to 40%, the mean estimation error and root-mean-square error remain within 3°. …”
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LogiTide2DEM: A method for reconstructing intertidal topography in complex tidal flats using logistic regression with multi-temporal Sentinel-2 and Landsat imagery by Yi-Chin Chen, Su-Fen Wang

“…Despite a moderate omission error in water-land classification, LogiTide2DEM demonstrates robust performance in reconstructing intertidal topography. …”
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Continuously Variable Geometry Quadrotor: Robust Control via PSO-Optimized Sliding Mode Control by Foad Hamzeh, Siavash Fathollahi Dehkordi, Alireza Naeimifard, Afshin Abyaz

“…Notably, the PSO-tuned SMC controller reduces tracking error by 30% (0.07 m vs. 0.10 m for PID) and achieves a 40% faster settling time during structural transitions. …”
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RESULTS OF THE SHORT COMPARATIVE ANALYSIS OF MATHEMATICAL MODELS OF INFLUENCE OF THE IONOSPHERE OF THE EARTH ON ULTRA BROADBAND SIGNALS X-RANGE by M. M. Kasperovich, V. A. Kondratyonok

“…It leads to distance error origin. For its compensating it is necessary to use the mathematical model of signal distortions in an ionosphere.…”
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Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses by Ye Xiao, Yuxuan Zheng, Xin Liu, Yifen Ye

“…Experimental results demonstrate that our method achieves a substantial reduction of errors in x and y axes, as well as the heading angle compared with other state-of-the-art perception methods. …”
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The Assessment of Participatory Scenario Planning in Future-Study of the Environment in District 1, Tehran City by Aiub Maroofi, Jila Sajadi, Mohammadtaghi Razavian

“…By entering a new field on social, economic and environmental issues, transformations in the urban environment have reached their maximum, and predictions in such a situation are always in error. The transition from traditional planning to new planning approach has been one of the most important changes in urban planning over the past several decades (Rahnema and Maroofi, 2015: 45). …”
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DETERMINATION OF CHEWING EFFICIENCY IN PATIENTS WITH RESTORED TOOTH CROWN PART by V.V. Nikolov, D M. Korol, D.D. Kindiy, M.D. Korol

“…Its function is to provide a smooth transition of orthopedic restoration to a tooth root and prevent the traumatization of marginal paradontium. …”
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Health State Prediction of Lithium-Ion Battery Based on Improved Sparrow Search Algorithm and Support Vector Regression by Deyang Yin, Xiao Zhu, Wanjie Zhang, Jianfeng Zheng

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Correcting Multivariate Biases in Regional Climate Model Boundaries: How Are Synoptic Systems Impacted Over the Australian Region? by Youngil Kim, Jason P. Evans, Ashish Sharma

“…This demonstrates that appropriately correcting RCM boundary conditions helps correct many of the circulation errors inherited from the driving GCM but not all.…”
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