Non-Destructive Diagnostics in the Assessment of Splice Geometry in Steel Cord Conveyor Belts by Leszek Jurdziak, Ryszard Błażej, Aleksandra Rzeszowska

“…Splices in conveyor belts are susceptible to damage and irregularities resulting from assembly errors, improper vulcanization parameters, or unfavorable operational conditions. …”
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Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

“…However, implicit non‐linear correlations among diverse data sources often remain underutilized, leading to potential bias and errors. In this study, we introduce a multiple‐condition fusion network (MCF‐Net) to characterize subsurface structures based on both hard and soft data. …”
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Key Factors for Defining the Conceptual Framework for Quality Assurance in E-Learning by Marwah Khaleel Farhan, Hasanien Ali Talib, Mazin S. Mohammed

“…The poor quality of e-learning services is one of the main causes of the number of errors collected. Experts proposed performance models for e-learning systems, but most relied solely on pedagogical opinions. …”
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Rasch modelling vs. item facility: implications on the validity of assessments of Asian EFL/ESL vocabulary knowledge and lexical sophistication modelling by Liang Ye Tan, Stuart McLean, Young Ae Kim, Joseph P. Vitta

“…Namely, that Rasch (an IRT procedure) alone might not be sufficient for validation, although it could be preferable when conducting inferential testing because of its potential utility for reducing chances of Type II errors.…”
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Expert System for Detection of Diseases in Layers Using Forward Chaining and Certainty Factor Methods by Kevin Febrianto, Erika Devi Udayanti, Bonifacius Vicky Indriyono, Wildan Mahmud, Iqlima Zahari

“…Inaccuracies in the process of diagnosing a type of disease result in errors in handling so that it will pose a risk of death. …”
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An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis by Syed Saad Azhar Ali, Muhammad Moinuddin, Kamran Raza, Syed Hasan Adil

“…Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control and time series prediction. …”
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Reconciling Global Terrestrial Evapotranspiration Estimates From Multi‐Product Intercomparison and Evaluation by Yaoting Cai, Qingchen Xu, Fan Bai, Xueqi Cao, Zhongwang Wei, Xingjie Lu, Nan Wei, Hua Yuan, Shupeng Zhang, Shaofeng Liu, Yonggen Zhang, Xueyan Li, Yongjiu Dai

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Multi-Modal Sensing for Propulsion Estimation in People Post-Stroke Across Speeds by Krithika Swaminathan, Dabin K. Choe, Daekyum Kim, Flore Barde, Teresa C. Baker, Nicholas C. Wendel, Andrew Chin, Gregoire Bergamo, Christopher J. Siviy, Christina Lee, Louis N. Awad, Terry D. Ellis, Conor J. Walsh

“…We show that in the lab, IMU + Insole models improve performance relative to IMU only and Insole only models, with an average root-mean-squared-error (RMSE) of 0.80 %bodyweight (%BW) across the stance phase. …”
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'Medical Minds and Machine Learning': Awareness and Opinions on Artificial Intelligence in Healthcare among Undergraduate Medical Students of a Tertiary Care Institute of Kolkata,... by Pattanayak Shalini, Basu Mausumi, Sinha Debasish, Kerketta Prince

“…Around 70.8% believed AI will reduce medication errors, while 83.3% opined AI will aid in healthcare-oriented research. 53.5% had low awareness on role of AI. …”
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Accurate eye tracking from dense 3D surface reconstructions using single-shot deflectometry by Jiazhang Wang, Tianfu Wang, Bingjie Xu, Oliver Cossairt, Florian Willomitzer

“…We show the feasibility of our approach with experimentally evaluated gaze errors on a realistic model eye below only 0.13°. …”
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Surrogate-assisted optimization of roll-to-roll slot die coating by Christopher Passmore, Kai E. Wu, Jonathan R. Howse, George Panoutsos, Stephen J. Ebbens

“…These models predict coating thickness and uniformity with mean absolute errors below 11.5 %. Key process parameters are identified, with shim thickness and substrate velocity having the greatest impact on coating uniformity, while coating gap played a lesser role. …”
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<italic>DynaTrack</italic>: Low-Power Channel-Aware Dynamic Smartphone Tracking Using UWB DL-TDOA by Junyoung Choi, Sagnik Bhattacharya, Joohyun Lee

“…However, temporary or permanent obstacles in the deployment region often lead to non-line-of-sight (NLOS) channel path and signal outage effects, which result in localization errors. Prior research has addressed this problem by increasing the ranging frequency, which leads to a heavy increase in the user device power consumption. …”
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Navigation Map Construction Based on Semantic Segmentation and Multi-Submap Integration by Gang Li, Chen Huang, Jian Yu, Hao Luo

“…Constructing navigation maps through dense depth estimation generally entails high computational costs, and depth estimation is prone to errors in weakly textured regions such as road surfaces. …”
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Blade Vibration Difference-Based Circumferential Fourier Fitting Algorithm for Synchronous Vibration Parameter Identification of Rotation Blades by Zhenfang Fan, Hongkun Li, Jinying Huang, Siyuan Liu

“…Nevertheless, the non-stationary factors present in actual engineering applications introduce inaccuracies in the BTT technique, resulting in blade vibration measurement errors. …”
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Anomaly Detection on Laminated Composite Plate Using Self-Attention Autoencoder and Gaussian Mixture Model by Olivier Munyaneza, Jung Woo Sohn

“…Damages are detected through reconstruction errors and probabilistic clustering in the latent space. …”
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Ventricular segmentation algorithm for echocardiography based on transfer learning and GAN by Jin Wang, Xiaoning Bo, Guoqin Li, Yanli Tan

“…Furthermore, this method demonstrated excellent performance in image segmentation experiments on clinical data, with low average absolute errors in the calculated end diastolic volume, end systolic volume, and ejection fraction. …”
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Adaptive Artificial Neural Network-Based Proportional Integral Controllers and Extremum Seeking Energy Optimizer for Wind Systems by Hassan Rafia, Hamid Ouadi, Brahim Elbhiri

“…Proportional-Integral (PI) controllers are widely used in various industrial applications due to their simplicity, affordability and performance in linear system control. …”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…Experimental validation demonstrated the effectiveness of the proposed method, achieving relative errors of 4.92% and 1.42% across two excavation cycles. …”
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Modeling and experimental validation of a 2D electro-hydraulic servo proportional valve by bond graph by Hao Xu, Feixiang Jin, Tingbo Hou, Wangpiao Lin, Dexun Zhang

“…The accuracy of the bond graph model was validated by comparing its dynamic analytical results with experimental data, demonstrating a high degree of accuracy with errors within 6.25%, which can serve as a theoretical foundation for 2D-EHSPV development. …”
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A Hybrid Framework for Metal Artifact Suppression in CT Imaging of Metal Lattice Structures via Radon Transform and Attention-Based Super-Resolution Reconstruction by Bingyang Wang, Zhiwei Zhang, Heng Li, Ronghai Wu

“…First, the original CT slices are subjected to bicubic interpolation, which enhances resolution and reduces sampling errors during transformation. The Radon transform, which detects and suppresses metal artifacts in the Radon domain, is then used to convert the interpolated pictures into sinograms. …”
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