A solving new method for the urea-selective catalytic reduction (SCR) system in a diesel engine using coupled hyperbolic-parabolic partial differential equations (PDEs) by Wenlong Liu, Ying Gao, Yuelin You, Changwen Jiang, Taoyi Hua, Bocong Xia

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A Novel Solution Technique for the Expansion Planning of Modern Distribution Systems: A Feasibility-Driven Approach by Jonathan A. Marcelo, Gregorio Munoz-Delgado, Javier Contreras, Jose R. Sanches Mantovani

“…Furthermore, the model guarantees CO2 reduction in order to be on track to limit global warming. …”
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Micro-parameter Optimization of Helical Cylindrical Gear based on Romax by Hongfu Xing, Chaohui Yang, Nan Yu, Chao Xu, Jingliang Jiang

“…In the gearbox of main reduction helical cylindrical gear as the research object，by using Romax software，the gearbox model is established，combining the theory of microscopic parameters optimization of cylindrical bevel wheel，the transmission error，distribution of load per unit length of gear tooth surface and the contact spot are taken as the optimization objectives for microscopic gear modification，an omnidirectional modification method combining helical modification and tooth profile modification is proposed. …”
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Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography by Jia Song, Haiwei Zhang, Yi Lyu, Hao Wu, Fei Zhang, Xu Ma, Bin Yong

“…The seasonal analysis demonstrates winter-specific advancements of DPR-V07, with a 3–8% reduction in the miss bias contributing to a lower total bias. …”
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Parallel Computing in Automation of Decoupled Fluid-Thermostructural Simulation Approach by Janine GLÄNZEL, Andreas NAUMANN, Tharun Suresh KUMAR

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Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets by Daniel Cristóbal Andrade-Girón, William Joel Marin-Rodriguez, Marcelo Gumercindo Zuñiga-Rojas

“…The results indicate that the Stacking model achieved the best performance with an MAE (mean absolute error) of 14,090, MSE (mean squared error) of 5.338 × 10⁸, RMSE (root mean square error) of 23,100, R² of 0.924, and a Concordance Correlation Coefficient (CCC) of 0.960, also demonstrating notable computational efficiency with a time of 67.23 s. …”
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Application of data visualization technology in human resource management and employee resignation prediction by Xue Wang, Nannan Huang

“…The research model was significantly better than Naive Bayes, logistic regression, and gradient boosting tree models in core indicators such as error rate (maximum reduction of 14.89 %) and accuracy. …”
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Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions by Peng Jiang, Lin Li, Han Lin, Tuo Ji, Liwen Mu, Yuanhui Ji, Xiaohua Lu, Jiahua Zhu

“…Furthermore, the accuracy was compared to previous literature in terms of correlation coefficient (R2), root mean square error (RMSE), and mean absolute error (MAE). Results revealed that this model provided attractive accuracy with R2 = 0.854, RMSE = 0.900, and MAE = 0.773 within a wide range of ash content from 0 to 83.32 wt%. …”
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Multimodal Cancellable Biometric Template Protection and Person Verification in Transformed Domain by Devendra Reddy Rachapalli, Venkatesulu Dondeti, Hemantha Kumar Kalluri

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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…The results showed that the GD-ANFIS model integrated with the Pearson method demonstrated superior performance compared to PSO-ANFIS and GA-ANFIS across key evaluation metrics such as accuracy and error rates. However, due to the interplay of multiple evaluation criteria and the closely clustered fitted values, determining a definitive best model almost remained challenging In addition to improving udder health, milk quality, and economic viability, this research can contribute to ongoing soft computing efforts to improve mastitis detection and management in dairy cattle. …”
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Automatic target spraying and field evaluation of unstructured orchard based on millimeter-wave radar by Xing Xu, Jianying Li, Dongying Shen, Jieli Duan, Zhou Yang, Yinlong Jiang

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A face gear grinding method and its experimental verification using cylindrical internal gear grinding machine by ZHANG Congcong, CAO Xuemei, DENG Xiaozhong, HAN Zhengyang, AN Xiaotao, XU Hao

“…The face gear tooth surface equation that contains the machine tool parameter errors is derived, and the influence of the parameter errors on the topological deviation of the tooth surface is analyzed. …”
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Dynamic Energy Sparse Self-Attention Based on Informer for Remaining Useful Life of Rolling Bearings by Cheng Shi, Qifei Li, Hui Chen, Yuanwei Song, Qianqi Le

“…Experimental results obtained on two benchmark datasets demonstrate that the proposed model outperforms existing advanced methods, achieving a reduction in mean absolute error and root mean square error, demonstrating its superior ability to handle complex bearing degradation prediction tasks.…”
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ASSESSMENT OF INFLUENCE OF RANGE FINDERS WITH THE IMPROVED CHARACTERISTICS ON THE ACCURACY OF GEOMETRICAL PARAMETERS CONTROL OF VEHICLES by A. M. Askhabov, E. S. Voevodin, V. A. Zeer, A. S. Kashura

“…As aresult, the mean square error of measurement of distance between control points significantly decreases at reduction of the passport error of laser range finders. …”
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Performance Investigation of Low-Resolution Coherent Optical Communication System with Low-Complexity Adaptive Equalizer by Zhiyuan Chen, Xiangyong Dong, Jiaqi Gao, Zhenming Yu, Kun Xu

“…The simulation results indicate that error-feedback noise shaping (EFNS) is highly effective in suppressing digital-to-analog converter (DAC) quantization noise, thereby reducing resolution demands on the DAC. …”
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A Study on Improving of Adaptive Sensorless Control Performance via Funnel Control by Jun-Seo Han, Gyung-Jae Cho, Hyeon-Ji Jin, Geun-Ho Lee

“…This creates additional errors by the observer, which results in a reduction in sensorless estimation performance. …”
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EFFECT OF PHASE-SHIFT INTERFERENCE ON THE NOISE IMMUNITY OF CORRELATION DEMODULATOR OF SIGNALS WITH MULTIPLE PHASE SHIFT KEYING by Gennady V. Kulikov, Van Dung Nguyen, Trung Tien Do

“…The dependencies of bit error probability on the signal-to-noise ratio, on the interference intensity, on the relative transmission speed of the interference, and on its detuning relative to the center frequency of the spectrum of the useful signal are calculated. …”
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Simulated synapse loss induces depression-like behaviors in deep reinforcement learning by Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron Gruber, Robert J. McDonald

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Decrease in Computational Load and Increase in Accuracy for Filtering of Random Signals by Phil Howlett, Anatoli Torokhti, Pablo Soto-Quiros

“…The procedure is based on the reduction of a large covariance matrix to a collection of smaller matrices. …”
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Suicidal ideation and thoughts of self-harm during the COVID-19 pandemic among Swedish employees: a cohort study on the role of job instability and job insecurity by Sandra Blomqvist, Hugo Westerlund, Linda L. Magnusson Hanson

“…Logistic regression models with cluster-robust standard errors were fitted, including sociodemographic factors and prior mental health problems to control for potential confounding. …”
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