Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

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Impact of Alkali Metals on CeO₂-WO₃/TiO₂ Catalysts for NH₃-Selective Catalytic Reduction and Lifetime Prediction of Catalysts by Mutao Xu, Yuhang Deng, Xingxiu Gao, Qijie Jin, Wei Yan, Liguo Chen, Jian Yang, Jing Song, Changcheng Zhou, Haitao Xu

“…The application of a BP neural network for catalyst activity prediction yielded an average relative error of approximately 0.73%, indicating enhanced accuracy in prediction outcomes. …”
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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

“…Furthermore, the adaptive equalizer, based on a Stokes-domain depolarization scheme (SS-AEQ), achieves a 45% reduction in the complexity of the equalization algorithm. …”
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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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Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

“…Turbo codes are widely used in satellite and mobile communication systems for their strong error-correcting performance. However, conventional iterative decoders such as Log-MAP suffer from high complexity and exhibit error floors in short block-length regimes. …”
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2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction by Zinnet Duygu Akşehir, Erdal Kılıç

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Minimizing Hallucinations and Communication Costs: Adversarial Debate and Voting Mechanisms in LLM-Based Multi-Agents by Yi Yang, Yitong Ma, Hao Feng, Yiming Cheng, Zhu Han

“…Notably, the dynamic weighting mechanism effectively prioritized high-performing models, leading to a reduction in error rates and improved consistency in the final responses.…”
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Using Bayesian analysis to quantify and reduce uncertainty in experimental measurements — A narrow-angle radiometer case study by Teri S. Draper, Jennifer P. Spinti, Philip J. Smith, Terry A. Ring, Eric G. Eddings

“…We formalize a generic protocol (the “Bayesian Uncertainty Quantification and Reduction Protocol”) for use in any experimental measurement to first quantify and then strategically refine error sources in the data. …”
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An Adaptive Multi-Fidelity Surrogate Model for Uncertainty Propagation Analysis by Wei Xiao, Yingying Shen, Jiao Zhao, Luogeng Lv, Jiangtao Chen, Wei Zhao

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Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images by Yulin Xu, Xiaodong Na

“…The proposed method outperformed the fully constrained least squares, sparsely constrained least squares spectral unmixing algorithms and deep transformer network hyperspectral unmixing, achieving a mean root-mean-square error (RMSE) of 0.1548 to 0.1781 and a mean spectral angle distance (SAD) of 0.1101 to 0.2211. …”
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Active Vibration Control Performance Comparison Based on Middle Pedestal Stiffness Using a Mobility Model and the Narrowband Fx-LMS Technique by Anmok Jeong, Kyuchul Jung, Youngcheol Park, Junyeong Heo, Hakjun Lee

“…As a result of the control simulation, the time required for vibration control was controlled approximately 6 times faster in the model, with increased stiffness of the middle pedestal, and the vibration reduction performance was predicted to improve by a minimum of 0.9 dB and a maximum of 13.3 dB. …”
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State-Space Method-Based Frame Dynamics Analysis of the Six-Rotor Unmanned Aerial Vehicles by Ruijing Liu, Yu Liu, Yi Zhang

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Establishing and Validating a Model of Waste Heat Recovery System for Coal-fired Boilers based on a Spray Tower by Zhao Jinzi, Zhao Xiling, Wang Jingyi, Fu Lin, Sun Fangtian, Zhang Shigang

“…The system was then evaluated from the points of view of energy saving, emission reduction, and economic feasibility. The results show that the simulation results of the model are roughly in line with the trend of the observed results, and the absolute and relative errors are in a reasonable range, which proves that the model is reasonable. …”
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The Role of Forcing and Parameterization in Improving Snow Simulation in the Upper Colorado River Basin Using the National Water Model by Yanjun Gan, Yu Zhang, Cezar Kongoli, Ming Pan

“…Further optimization of the parameterization combination resulted in a 12% SWE RMSE reduction. When combined with the bias‐corrected AORC precipitation and temperature, this optimization led to a remarkable 78% SWE RMSE reduction. …”
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