Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies by Nazik Jebur, Wafa Soud

“…Collaborative efforts among researchers are essential for developing robust and broadly applicable diagnostic models. Addressing these ongoing issues will further enhance condition monitoring and defect detection, leading to more reliable and academically rigorous diagnostic methods applicable in diverse real-world scenarios.…”
Get full text

New concepts of magnetohydrodynamics and entropy rate for radiative nanofluid flow invoking artificial neural network approach by Aqsa Razzaq, T. Hayat, Sohail A. Khan, Aneeta Razaq

“…Artificial neural networks (ANNs) based on (LMA) is differentiated by its remarkable stability and used to compute the flow characteristic of Reiner-Rivlin nanoliquid employing validation check, regression plots (RP), mean square error (MSE), fitness curve, error histograms and comparative solution analyses. …”
Get full text

A Method for Predicting the Main Indicators of Cardiopulmonary Stress Testing for Patients with Chronic Heart Failure by A. S. Krasichkov, E. Mbazumutima, F. Shikama, E. M. Nifontov

“…It was established that when performing 70 % of the stress protocol, the error of the proposed estimate of the OC peak in most cases did not exceed 20 %. …”
Get full text

Long-Tune Natural Logarithmic Wavelength Modulation Spectroscopy for Gas Sensing by Lijuan Lan, Changsheng Zhang, Yibo Wang, Yu Xie, Luheng Wang, Chunhua Yang

“…The CO₂ concentration detection results indicate that when the background is eliminated, the accuracy can be achieved with a relative error of below 0.5%, while the error would be greater than 5% with background presence. …”
Get full text

Towards precision in bifacial photovoltaic system simulation: a model selection approach with validation by Eva-Maria Grommes, Maximilian Koch, Jean-Régis Hadji-Minaglou, Holger Voos, Ulf Blieske

“…This study employs a number of validation metrics, including relative error, coefficient of determination and Normalized Root Mean Square Error, to assess the accuracy of the simulations. …”
Get full text

A data-driven cost estimation model for agile development based on Kolmogorov-Arnold Networks and AdamW optimization by Xiaoyan Zhao, Xin Xiong, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Liangyu Li

“…Furthermore, it highlights the potential of KAN for broader applications in cost modeling.…”
Get full text

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°. …”
Get full text

Self-Adjusting Look-Ahead Distance of Precision Path Tracking for High-Clearance Sprayers in Field Navigation by Xu Wang, Bo Zhang, Xintong Du, Huailin Chen, Tianwen Zhu, Chundu Wu

“…The tracking accuracy has been improved and the applicability of the algorithm for rapid deployment has been enhanced.…”
Get full text

Artificial neural network and response surface method-based optimization of unsteady natural convective heat transfer of Fe3O4-Engine Oil nanofluid in a trapezoidal enclosure by Umme Salma, Md. Shariful Alam, S. M. Chapal Hossain, Md. Nurul Huda, Tarikul Islam

“…Several statistical indices, including the coefficient of determination (R²), mean squared error (MSE), margin of deviation (MOD), and root mean squared error (RMSE), are used to quantitatively calculate the quality of the RSM and ANN models. …”
Get full text

Research on shale TOC prediction method based on improved BP neural network by Chaorong Wu, Kaixing Huang, Zhengtao Sun, Yizhen Li, Yong Li, Yuexiang Hao, Zhengxing Sun, Ziqi Wang

“…The results show that the CSBP model has higher prediction accuracy and generalization ability, with the mean absolute error and mean absolute percentage error being 0.38 and 15.00% respectively, which are significantly better than other methods. …”
Get full text

Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network by Muhammad Aseer Khan, Dur-e-Zehra Baig, Husan Ali, Fahad R. Albogamy

“…Abstract Brushless DC (BLDC) motors are widely used in industrial applications due to their high efficiency and performance. …”
Get full text

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. …”
Get full text

Modeling the Higher Heating Value of Spanish Biomass via Neural Networks and Analytical Equations by Anbarasan Jayapal, Fernando Ordonez Morales, Muhammad Ishtiaq, Se Yun Kim, Nagireddy Gari Subba Reddy

“…Future work will expand the dataset, incorporate thermal pretreatment effects, and integrate the model into a user-friendly decision-support platform for bioenergy applications.…”
Get full text

A Deep Learning Framework for High-Frequency Signal Forecasting Based on Graph and Temporal-Macro Fusion by Xijue Zhang, Liman Zhang, Siyang He, Tianyue Li, Yinke Huang, Yaqi Jiang, Haoxiang Yang, Chunli Lv

“…These results significantly outperformed several mainstream models, including LSTM, FinBERT, and StockGCN, demonstrating superior stability and practical applicability.…”
Get full text

Research on Wafer CMP Temperature Online Detection Compensation Algorithm Based on GA-BP Improved Neural Network by Binjie Li, Kuan Shen, Zhilong Song, Binghai Lyu, Wenhong Zhao

“…Furthermore, the maximum relative measurement error of the temperature sensor within the environmental temperature range of 3.8 to 75.4°C has decreased from 14% to 2.59%. …”
Get full text

Correlated noise can be beneficial to quantum transducers by Yu-Bo Hou, Xiaoan Ai, Ruizhe You, Changchun Zhong

“…Quantum systems are inherently susceptible to noise—a notorious factor that induces decoherence and limits the performance of quantum applications. To mitigate its detrimental effects, various techniques have been developed, including cryogenic cooling, bath engineering, and quantum error correction. …”
Get full text

Research on Performance of Covert Wireless Communication over Uplink LEO Satellite-Terrestrial Network by ZENG Shulei, CAO Bin

“…The deployment of large-scale LEO satellite constellations is rapidly advancing, enabling seamless global coverage and supporting a wide range of applications.However, this proliferation of satellites also brings significant security concerns, including risk of eavesdropping and the detection of illegal communication activities.In response to these challenges, this paper investigates covert wireless communication over uplink satellite-terrestrial network. …”
Get full text

Software-Defined Visible Light Communication for Internet of Things: A Low-Complexity Approach by Ming Che

“…Moreover, the adaptive SDLMS equalizer significantly improves performance in multipath fading environments and reduces the bit error rate by approximately two orders of magnitude. …”
Get full text

Parameter Optimization of Frequency Selective Surfaces Made of Composite Materials by Abdullah Oğuz Kızılçay

“…Debye model is used for approximating the frequency dependent complex effective permittivity of the composite structures in filter and shielding applications at microwave frequencies. In debye model, desired shielding effectiveness (SE) is obtained by determining the Debye parameters using trial and error method. …”
Get full text

Opportunities and challenges in modelling ligand adsorption on semiconductor nanocrystals by Xin Qi

“…Still, their applications in ligand-coated semiconductor nanocrystals are relatively scarce compared to those of other systems, such as biological chemistry. …”
Get full text