Numerical Evaluation of the IMERSPEC Methodology and Spalart–Allmaras Turbulence Model in Fully Developed Channel Flow Simulations by Laura Augusta Vasconcelos de Albuquerque, Mariana Fernandes dos Santos Villela, Felipe Pamplona Mariano

“…This work provides valuable insights into turbulence modeling, demonstrating the potential of the IMERSPEC methodology for practical engineering applications.…”
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Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving by Wenli Dong, Weining Fang, Hanzhao Qiu, Haifeng Bao

“…Background: In safety-critical environments, human error is a leading cause of accidents, with the loss of situation awareness (SA) being a key contributing factor. …”
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Assessing the Effectiveness of Estimating the Construction Years of Cambodia Road Bridges Using an Improved Satellite-Based Method by Bennie Hamunzala, Hiroto Goto, Koji Matsumoto

“…A total of 423 road bridges were analyzed, with the accuracy of the method assessed using the Mean Absolute Error (MAE). The improved method demonstrated considerable accuracy, with 64.3% of bridges classified as high-accuracy (MAE of 0–5), 20.8% as moderate-accuracy (MAE of 6–10), and 14.9% as low-accuracy (MAE of 11–30). …”
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Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks by Modafar Ati, Muhammad Ahmed Hassan, Muhammad Usman Ghani

“…Leveraging pre-trained ResNet-101, the Discriminator uses Mean Squared Error (MSE) loss to compare the face encodings, reinforcing the Generator to produce images with face encodings closely resembling the ground truth. …”
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A simple monocular depth estimation network for balancing complexity and accuracy by Xuanxuan Liu, Shuai Tang, Mengdie Feng, Xueqi Guo, Yanru Zhang, Yan Wang

“…Remarkably, our framework SimMDE, extending from AdaBins, demonstrates enhancements, resulting in substantial improvements of 11.7% and 10.3% in the absolute relative error (AbsRel) on the NYU and KITTI datasets, respectively, with fewer parameters.…”
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FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

“…The FDRL model outperformed baseline regression models with a training Root Mean Squared Error (RMSE) of 1.11 mm/year and a test RMSE of 1.32 mm/year. …”
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Road Pothole Recognition and Size Measurement Based on the Fusion of Camera and LiDAR by Yongxiang Cai, Mingxing Deng, Xin Xu, Wei Wang, Xiaowei Xu

“…In practical scenarios, the relative error in size measurement is generally within 15%, with an average data processing time of 45.6 ms per frame, thereby satisfying the system’s real-time requirement of 100 ms per frame.…”
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Colossal permittivity and humidity sensing properties of CaCu3Ti4O12 ceramics derived from cockle shell CaCO3 via CO2 absorption by Kaniknun Sreejivungsa, Suppanat Kosolwattana, Morakot Sakulsombat, Prasit Thongbai

“…As a result, the CCTO ceramics demonstrated excellent humidity sensing performance, with a fast response time of 0.25 min, a recovery time of 0.45 min, and a low hysteresis error of 2.3%. These findings demonstrate the dual role of cockle shell-derived CaCO3 as both a sustainable CO2 sorbent and a valuable precursor for high-performance dielectric and humidity-sensing ceramics.…”
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Machine learning with analysis-of-variance-based method for identifying rice varieties by Nabin Kumar Naik, M. Venkata Subbarao, Prabira Kumar Sethy, Santi Kumari Behera, Gyana Ranjan Panigrahi

“…These high accuracy rates are particularly noteworthy, as they indicate the robustness and reliability of the proposed methodology in distinguishing between different rice varieties with minimal error. This high level of precision is critical for practical applications, such as quality control in rice production, to ensure that customers receive the specific rice variety they demand. …”
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Centralized Measurement Level Fusion of GNSS and Inertial Sensors for Robust Positioning and Navigation by Mohamed F. Elkhalea, Hossam Hendy, Ahmed Kamel, Ashraf Abosekeen, Aboelmagd Noureldin

“…Specifically, the TC algorithm demonstrated a remarkable reduction of over 90% in 2D position root mean square error (RMSE) and a 75% reduction in 3D position RMSE when compared to solutions utilizing the weighting matrix provided by Google with all visible satellites. …”
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Super-Resolution Three-Dimensional Topography Measurement Using Microsphere-Aided Broadband Light Interferometry by Keran Deng, Yangyi Liu, Fan Yang, Jian Huang, Lianghua Wen

“…The experiment results demonstrated that our proposed microsphere-aided broadband light interferometry method could successfully reconstruct the 3D shape of nanoscale cylinders with the feature size of 228 nm and height of 150 nm with an error of 2%. As microsphere is a low-cost, easy-to-use, and super-resolution imaging method, it bears great potential to be widely applied in both scientific and industrial areas. …”
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Research trends in virtual reality surgical simulation for education: a systematic review by Changhyun Choi, Hongrae Kim, Dae Kyung Sohn

“…Common outcome measures for evaluating VR training effectiveness included time, movement economy, subject evaluation, error rates, proficiency scales, and accuracy. Conclusion : These findings illustrate the historical trajectory and current landscape of VR use in surgical training. …”
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New Possibilities for Evaluating Markers of Alzheimer's Disease in Blood Serum by S. V. Vorobev, A. Yu. Plekhanov, I. K. Ternovykh, A. S. Usikov, A. А. Lebedev, A. N. Smirnov, N. M. Shmidt, M. S. Dunaevskiy, S. P. Lebedev

“…The concentration of proteins in the blind experiment was determined with an error of 1.5 times, that is, about half the dilution step. …”
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Spatial-temporal data analysis of digital twin [version 1; peer review: 1 approved, 2 approved with reservations] by Qian Ai, Lei Tang, Xing He, Bo Pan, Robert Qiu

“…We provide a concise yet comprehensive tutorial on spatial-temporal analysis considering data, theories, algorithms, indicators, and applications. The advantages of our spatial-temporal analysis are discussed, including model-free mode, solid theoretical foundation, and robustness against ubiquitous uncertainty and partial data error. …”
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Reconstruction of Electrochemical Impedance Spectroscopy from Time-Domain Pulses of a 3.7 kWh Lithium-Ion Battery Module by Manuel Kasper, Manuel Moertelmaier, Hartmut Popp, Ferry Kienberger, Nawfal Al-Zubaidi R-Smith

“…The experimental EIS data were corrected by a multistep calibration workflow in a frequency range from 50 mHz to 1 kHz, achieving error corrections of up to 80% at 1 kHz. The reconstructed impedances from the pulse test data are in good agreement with the EIS experiments in a broad frequency range, delivering relevant electrochemical information including the ohmic resistance and dynamic time constants of a battery module and its corresponding submodules. …”
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A Surrogate Piecewise Linear Loss Function for Contextual Stochastic Linear Programs in Transport by Qi Hong, Mo Jia, Xuecheng Tian, Zhiyuan Liu, Shuaian Wang

“…Traditional two-stage frameworks separate prediction and optimization, which can lead to suboptimal decisions, as minimizing prediction error does not necessarily minimize decision loss. …”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…However, a commonly adopted presumption of all data samples being available at one point hinders its applicability to real-world scenarios where data samples are distributed across distinct sources with intermittent and bandwidth-limited connections. …”
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An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network by Muzamil Ahmed, Riad Alharbey, Ali Daud, Hikmat Ullah Khan, Javeria Nawal, Ghazia Arshad

“…We evaluate the proposed approach on two standard datasets of VoxConverse and VoxCeleb, comparing clustering-based methods with the proposed Neuro-TM Diarizer using three metrics: Diarization Error Rate (DER), false alarm rate, and missed detection rate. …”
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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…Validation against RTM Group’s real-world data showed an audit duration prediction error margin within a few percentage points. Conclusions confirm the effectiveness of simulation modeling for enhancing audit transparency. …”
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ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking by Chih-Yu Hsu, Chih-Yin Chang, Yin-Chi Chen, Jasper Wu, Shuo-Tsung Chen

“…Experimental results demonstrate that watermarking applied through the mean (μ) and in the frequency domain achieves a low Mean Squared Error (MSE) while maintaining stable signal fidelity across varying watermark strengths (α), latent space dimensions, and noise levels. …”
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