Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment by Simon Kühne, Jannes Jacobsen, Nicolas Legewie, Jörg Dollmann

“…Respondents expect AI to not only prevent errors but also exceed current reliability standards while strongly disapproving of nontraceable systems (transparency is another important factor, percentage of EV of up to 4%). …”
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Acoustic Emission-Based Method for IFSS Characterization in Single-Fiber Fragmentation Tests by Felipe Romero, Franco Méndez, Javiera González, Víctor Tuninetti, Carlos Medina, Meylí Valin, José Valin, Alexis Salas, Cristián Vicuña

“…Results indicate that this approach achieves an IFSS determination error of 14.16% at a 95% confidence level. This study demonstrates the feasibility of using AE for IFSS characterization in SFFT and contributes to future research on AE applications in composite materials.…”
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Study of Changing Land Use Land Cover from Forests to Cropland on Rainfall: Case Study of Alabama’s Black Belt Region by Salem Ibrahim, Gamal El Afandi, Amira Moustafa, Muhammad Irfan

“…The control run demonstrated a Root Mean Square Error (RMSE) of 1.64, indicating accurate rainfall predictions. …”
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Research on Motion Transfer Method from Human Arm to Bionic Robot Arm Based on PSO-RF Algorithm by Yuanyuan Zheng, Hanqi Zhang, Gang Zheng, Yuanjian Hong, Zhonghua Wei, Peng Sun

“…Although geometric vector analysis offers an initial estimation of joint angles, its deterministic framework is subject to error accumulation caused by the occlusion of reflective markers and kinematic singularities. …”
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Preassembly Cryogenic Drilling in Carbon Fiber Sandwich Sheets with Inner Foam Core by Rosario Domingo, Marta M. Marín, Néstor Rodríguez-Padial, Roberto Álvarez-Fernández

“…Variables such as thrust forces and circularity error were measured, and a design of experiments, analysis of variance, and regression models allowed us to identify the influence of cutting conditions and foam thickness. …”
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Efficient Techniques for Solution of Complex Computational Tasks in Building Physics by Václav Kočí, Jiří Maděra, Tomáš Krejčí, Jaroslav Kruis, Robert Černý

“…For materials homogenization, the best results are achieved when k = 0.9 in Lichtenecker’s mixing rule is assumed, which corresponds to a nearly parallel arrangement of the block. The root mean square error (RMSE) of relative humidity (RH) and temperature distribution is only 0.992% and 0.566°C, respectively. …”
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Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios With Foliage by Donggu Lee, Ozgur Ozdemir, Ram Asokan, Ismail Guvenc

“…The accuracy of the proposed scheme is evaluated using the mean absolute error (MAE) metric and compared against baseline interpolation methods. …”
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Envelope and intelligent prediction of horizontal bearing capacity for offshore wind monopiles in sandy seabed under HM combined loading by Xin-Yu You, Shi-Yi Qian, Bin Li, Jun Wang, Ling-Yu Xu

“…Using L/D ratio, seabed slope, horizontal displacement and rotation angle at the monopile head as inputs, the ANN successfully predicts the horizontal bearing capacity with error margins within ±10%. This research offers a practical, validated finite element and ANN-based approach for modeling and predicting the lateral bearing capacities of monopiles in complex offshore environments, making it a valuable tool for the construction and measurement of offshore wind turbine foundations under HM loading conditions.…”
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POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

“…This corresponds to a 0.029% error while reducing the required number of EM simulations to <inline-formula> <tex-math notation="LaTeX">$1/6$ </tex-math></inline-formula> compared to conventional methods. …”
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Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru by Eduardo E. Villavicencio, Katy D. Medina, Edwin A. Loarte, Hairo A. León

“…In addition, the reliability of the TRMM, GPM and MERRA-2 data was analyzed based on the ratio of the mean square error, PBIAS, Nash-Sutcliffe efficiency (NSE) and correlation coefficient. …”
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A Stability- and Aggregation-Based Method for Heart Rate Estimation Using Photoplethysmographic Signals During Physical Activity by Sabrina C. Crepaldi, Jiabin Wang, Fumiya Matsumoto, Hiroki Takeuchi, Tatsuhiko Watanabe, Yoshiharu Yamamoto

“…The proposed method outperforms the CNN ensemble model for the <i>PPG-DaLiA</i> dataset and the <i>IEEE_Test</i> dataset and reduces the mean absolute error (MAE) by 1.45 bpm and 5.71 bpm, respectively, demonstrating that effective signal processing techniques can match the performance of more complex deep learning models without requiring extensive computational resources or dataset-specific tuning.…”
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Zero–Average Dynamics Technique Applied to the Buck–Boost Converter: Results on Periodicity, Bifurcations, and Chaotic Behavior by Diego A. Londoño Patiño, Simeón Casanova Trujillo, Fredy E. Hoyos

“…It was observed that both controllers effectively regulate the current, with a steady-state error of less than 1%. However, the system controlled with ZAD maintains a fixed switching frequency, whereas the PID-controlled system lacks a fixed switching frequency and operates with a very high PWM frequency. …”
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Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology by Julia Lasek, Karolina Nurzynska, Adam Piórkowski, Michał Strzelecki, Rafał Obuchowicz

“…The TMJ space width measurement algorithm demonstrated minimal bias, with a mean difference of 0.08 mm and a mean absolute error of 0.18 mm compared to reference measurements. …”
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A NEW APPROACH IN IMMOVABLE ASSET MANAGEMENT USING 3D SPATIAL SPACE by Uznir Ujang, Glory Annabelle Stephen, Suhaibah Azri, Nurfairunnajiha Ridzuan

“…However, the management of immovable assets often faces challenges due to time-consuming, tedious, and error-prone paper-based practices. To address these issues, the Malaysian government has introduced MySPATA (Sistem Pengurusan Aset Tak Alih Kerajaan), an electronic-based solution aimed at improving asset management. …”
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Pan-tropical daily L-band microwave land surface emissivity retrieval from GNSS-R observations by Yifan Zhu, Fei Guo, Xiaohong Zhang, Wentao Yang

“…The CYGNSS MLSE shows good agreement with SMAP MLSE, delivering an overall root-mean-square error (RMSE) of 0.022 and 0.017 for horizontal and vertical polarization, respectively, during the training set spanning the whole year of 2018. …”
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Performance analysis of DC-DC Buck converter with innovative multi-stage PIDn(1+PD) controller using GEO algorithm by Mostafa Jabari, Davut Izci, Serdar Ekinci, Mohit Bajaj, Ievgen Zaitsev

“…In a DC-DC converter, steady-state performance with minimum error and fast dynamic response relies on controller design. …”
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Tri-manual interaction in hybrid BCI-VR systems: integrating gaze, EEG control for enhanced 3D object manipulation by Jian Teng, Jian Teng, Sukyoung Cho, Shaw-mung Lee

“…Experimental validation with eight participants across 160 trials demonstrated 87.5% virtual hand success rate and 41% spatial error reduction (σ = 0.23 mm vs. 0.39 mm) compared to traditional dual-hand control. …”
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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…The FGDAE showed the best performance on all seven error metrics used in our work in different noise intensities and artifact combinations compared with state-of-the-art algorithms. …”
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Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

“…Our pipeline manages to find the start of an ICME with a mean absolute error (MAE) of around 2 hr and 56 min, and the end time with a MAE of 3 hr and 20 min. …”
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Real-Time Failure Prediction of ROADMs by GAN-Enhanced Machine Learning by Takeshi Naito, Shota Nishijima, Yuichiro Nishikawa, Akira Hirano

“…For this purpose, we implemented Docker container applications in WhiteBox Cassini to acquire the real-time raw digital data. …”
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