A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity by Arif Muhammad Shoaib

“…Quantitative validation demonstrates that the scheme achieves second-order accuracy in time and sixth-order convergence in space, with a reduction in error norm of up to 18% compared to the classical second-order Runge–Kutta method. …”
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Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

“…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models by Amir Hossein Sheikhshoaei, Ali Sanati

“…Graphical and statistical analyses revealed that the RF model offered the lowest error for viscosity prediction of pure ILs, while CatBoost performed the best for IL mixtures. …”
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TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors. by Nabeel Ahmed Khan, Aisha Ahmed Alarfaj, Ebtisam Abdullah Alabdulqader, Nuha Zamzami, Muhammad Umer, Nisreen Innab, Tai-Hoon Kim

“…Moreover, the proposed approach was evaluated on the HumanEva-I dataset yielding a Mean-Per-Joint-Position-Error (MPJPE) of 47.6 under self-supervision and an MPJPE of 29.9 under full supervision. …”
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An Energy-Function-Based Approach for Power System Inertia Assessment by Shizheng Wang, Zhenglong Sun

“…Simulation results of the Western System Coordinating Council (WSCC) 9-bus system show that the inertia estimation error of the method is less than 1%, which is superior to conventional methods such as rate-of-change-of-frequency (RoCoF) and least squares methods. …”
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Biased expectations about future choice options predict sequential economic decisions by Didrika S. van de Wouw, Ryan T. McKay, Nicholas Furl

“…Understanding the causes of decision error could enhance how we conduct real world sequential searches for options, for example how online shopping or dating applications present options to users.…”
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Real-Time Data-Driven Method for Bolt Defect Detection and Size Measurement in Industrial Production by Jinlong Yang, Chul-Hee Lee

“…The average size measurement time was 0.021616 s, and increasing the light intensity could reduce the maximum error rate to 1%. These results demonstrated that the system excelled in real-time performance, accuracy, robustness, and efficiency, effectively addressing the demands of industrial production lines for rapid and precise defect detection and size measurement. …”
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Research on performance analysis methods of pitch bearings based on nonlinear springs by SHEN Huipeng, LI Hangyu, ZHANG Tianyu, QIU Jun, FAN Jiashuang

“…ObjectiveIn engineering applications, pitch bearings contain hundreds of pairs of nonlinear contact between rolling elements and raceways, the force condition is complicated, and the complete solid model analysis is difficult. …”
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Fuzzy C-Means and Explainable AI for Quantum Entanglement Classification and Noise Analysis by Gabriel Marín Díaz

“…The results have practical implications in quantum error correction, quantum cryptography, and the optimization of quantum technologies under realistic conditions.…”
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Fine-Tuned Visual Transformer Masked Autoencoder Applied for Anomaly Detection in Satellite Images by Jakub Gajda, Joanna Kwiecień

“…After adjusting the model weights for this task, a custom dataset with normal and abnormal samples was used for the reconstruction error calculation. The results obtained in this study show that it is possible to distinguish between normal class representatives and outliers using the proposed approach. …”
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Testing an optimally weighted combination of common and/or rare variants with multiple traits. by Zhenchuan Wang, Qiuying Sha, Shurong Fang, Kui Zhang, Shuanglin Zhang

“…Our results showed that, in all of the simulation scenarios, TOWmuT has correct type I error rates and is consistently more powerful than the other five tests. …”
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Comparison of Fully Convolutional Networks and U-Net for Optic Disc and Optic Cup Segmentation by Jin Zixiao

“…The performance of both models is assessed using qualitative parameters such as the Dice coefficient, Jaccard index, and cup-to-disc ratio (CDR) error. In our experiment, the U-Net model yields more accurate segmentation results with 0.9601 average pixel accuracy and 0.9255 dice score for OD segmentation, outperforming the FCNs model with 0.9560 average pixel accuracy and 0.9132 dice score for OD segmentation. …”
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Urban ecosystem quality assessment based on the improved remote sensing ecological index by Guolin Zhang, Honghai Kuang

“…It exhibited three advantages: stronger correlation with the ecological index (EI), standard deviation values closer to EI’s baseline, and lower root mean square error. The applicability of the DRSEI and RSEI varied across different regions: the DRSEI proved to be more suitable for highly urbanized areas, whereas the RSEI performed better in suburban regions. …”
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Research on Multi-peak MPPT of Photovoltaic Array Based on Improved ICA Algorithm by ZANG Xiaodi, LIU Lu

“…The results show that the improved ICA can accurately track the static situation, with the tracking time of 0.18 s and the dynamic maximum power tracking time of 0.19 s, with an error of 0.9%. It shows that the proposed method can not only realize the dynamic and static MPPT under different shadows, but also improve the tracking accuracy and response speed.…”
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Approximate Dilogarithm Representation of One Variational Boundary Value Problem Solution for Circle under the Neumann Boundary Condition by I. N. Meleshko, P. G. Lasy

“…The approximate formula is effective in the sense that it is quite simple in numerical implementation, stable, and the error estimation, which is  uniform over a circle, allows calculations with the given accuracy. …”
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Experimental Study on the Boiling Heat Transfer Characteristics in Micro-channel with Two Different Working Medium by Chen Yumin, Liu Dongyao

“…The results from heat transfer correlation taking scale effect and fluid properties into consideration have 14.2% and 16.6% MAE (Mean Absolute Error) for deionized water and anhydrous ethanol respectively. …”
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Deep Neural Network for Supervised Single-Channel Speech Enhancement by Nasir SALEEM, Muhammad IRFAN KHATTAK, Muhammad Yousaf ALI, Muhammad SHAFI

“…Speech enhancement is fundamental for various real time speech applications and it is a challenging task in the case of a single channel because practically only one data channel is available. …”
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Optimal Combination of Currency Assets and Algorithm Simulation under Exchange Rate Risk by Jun Wei

“…Through cointegration analysis and the vector error correction model (VECM model), the correctness and applicability of the established money demand model are verified, and money demand, total social wealth, spreads between expected stock returns and interest rates, and real estate expectations are found. …”
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A Hybrid Forward/Reverse Converter in Reversible Logic to Reduce Hardware Complexity of Residual Number System by Ailin Asadpour, Amir Sabbagh, Azadeh Emrani

“…A residue number system (RNS) that performs arithmetic operations in parallel with error tolerance and no carry propagation requires forward and reverse converters to communicate with other digital circuits. …”
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Laboratory quality management system fundamentals by Segaran P. Pillai, Elizabeth Fox

“…A foundational LQMS provides a framework to address gaps in process or product performance and risks present throughout the laboratory’s workflow, any of which could lead to a critical error that compromises the organization’s credibility. …”
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