Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“…The study focuses on reliability analysis and investigates the probability functions of the distribution to create a theoretical framework for parameter estimation by Using R programming language for in-depth analysis. …”
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Simulation and optimization of CNC cylindrical grinder Performance based on equivalent analysis of joints spring-damping characteristics by Qi Mingzheng, Wang Han, Sun Xizhi, Li Tianjian, Guo Yang, Wu Tao

“…This paper focuses on the MKE1620A CNC cylindrical grinder, using an equivalent analysis of the joint spring-damping characteristics to investigate the overall performance of the grinder and propose directions for design optimization. …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…This study introduces a real-world metaheuristic application designed to minimize the simulation errors of a novel one-dimensional (1D) numerical model of a rotary cement kiln, calibrated by Computational Fluid Dynamics (CFD) results. …”
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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models by Ahmad Alsaber, Anurag Satpathi, Mariam Alsabah, Parul Setiya

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Theoretical analysis of the forming process of closed die forging with flash and optimization design method of flash gutter by Xiang Zhang, Volodymyr Borysevych

“…After verification and correction, the error in the optimized mathematical model did not exceed 10 %, and the flash amount was significantly reduced. …”
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Optimizing Screw Fixation in Total Hip Arthroplasty: A Deep Learning and Finite Element Analysis Approach by Jacob Stroud, Emily T. Yan, Jacob Anthony, Kyle Walker, Chung-Hyun Goh

“…This study integrates finite element analysis (FEA) with deep learning (DL) to optimize screw fixation strategies, enhancing implant stability and reducing revision rates. …”
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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…The characteristic parameters of the improved model are identified using the particle swarm optimization–simulated annealing (PSO-SA) algorithm, with the identified root mean square error not exceeding 3.5, verifying the model’s accuracy. …”
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Optimization Design and Experimental Analysis of Resistance-Reducing Anti-Fracture Rotary Blade Based on DEM Techniques by Xiaochuan Zhao, Zhikai Ma, Jianguo Zhao, Jianchang Li, Jiale Zhao, Binhao Dai, Meilin An, Jiaping Wang, Jianjun Hao

“…The theory of eccentric circular side cutting edges was applied to redesign the curve of the side cutting edge, and kinematic analysis was conducted to determine the optimal edge angle (26.57°). …”
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Analysis and Optimization Design of Internal Flow Evolution of Large Centrifugal Fans Under Inlet Distortion Effects by Shuiqing Zhou, Tianci Wang, Zijian Mao, Laifa Lu

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Optimization of Technological Parameters for Cold Spraying Using the Response Surface Method by Wenjie Hu, Oleksandr Shorinov

“…Moreover, the parameter error between the optimized parameters through response surface analysis and the actual numerical simulation is 0.76 %, indicating high accuracy.…”
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GAT-ADNet: Leveraging Graph Attention Network for Optimal Power Flow in Active Distribution Network With High Renewables by Dinesh Kumar Mahto, Mahipal Bukya, Rajesh Kumar, Akhilesh Mathur, Vikash Kumar Saini

“…The high penetration of renewables into the active distribution network (ADN) brings voltage deviation and difficulties to the optimal power flow (OPF) problem. The optimal operation of the distribution grid aims to efficiently manage the flow of electricity from sources to end-users, ensuring a resilient and sustainable grid. …”
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Complementary Filter Optimal Tuning Methodology for Low-Cost Attitude and Heading Reference Systems with Statistical Analysis of Output Signal by Grzegorz Kopecki, Zbigniew A. Łagodowski

“…A simple method for acquiring calibration data is introduced, and these data are subsequently used in the proposed iterative algorithm for optimal time constant selection. The described method minimizes measurement errors and improves the accuracy of the system, ensuring operational stability. …”
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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions by Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers, Heiko Gassner, Heiko Gassner, Thomas Seel, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn, Anne D. Koelewijn

“…Such a sparse sensor setup enables comprehensive movement analysis outside the laboratory, by increasing usability of inertial sensors.…”
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An optimized public opinion communication system in social media networks based on K-means cluster analysis by Mingchao Qi, JunQiang Zhao, Yan Feng

“…In sentiment dissemination effectiveness, the model receives scores of 4.4, 4.5, and 4.4 in emotional tendency change, polarity distribution, and diffusion intensity, showcasing its advantages in sentiment classification and dissemination. Sensitivity analysis further validates the model's sensitivity to parameter settings, with experiments showing that reasonable adjustments to parameters such as the K value, PSO inertia weight, and learning factors can reduce the Sum of Squared Errors to 3209.72. …”
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Optimization of kinematic parameters of continuous miner based on LS-DYNA simulation analysis and NSGA-II algorithm by Xunan Liu, Yiming Liu, Faquan Li, Yanpeng Zhang, Jianyong Wang, Lianwei Ma

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The Structural Design and Optimization of a Railway Fastener Nut Disassembly and Assembly Machine by Xiangang Cao, Guoyin Chen, Mengzhen Zuo, Jiasong Zang, Peng Wang, Xudong Wu

“…A transient analysis was also conducted on the optimized machine structure, further validating its strength. …”
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Design and Optimization of a Novel Compliant Z-Positioner for the Nanoindentation Testing Device by Minh Phung Dang, Thanh Dat Le, Hieu Giang Le, Chi Thien Tran

“…Thirdly, the analytical result was verified by FEA analysis, and the error between the two methods was 0.5869%. …”
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Application of machine learning with gradient descent method for load forecasting: a performance analysis by Saroj Kumar Panda, Manoj Kumar Panda

“…Based on the choice of input sample and root mean square error (RMSE), the DNN comparison is carried out. …”
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Multi-class fault diagnosis of BF based on global optimization LS-SVM by ZHANG Hai-gang, ZHANG Sen, YIN Yi-xin

“…Secondly, the feature vector was compressed by kernel principal component analysis. Finally, the heuristic error correcting output codes were constructed on the basis of Fisher linear discriminate rate. …”
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What Causes Errors in Wang–Sheeley–Arge Solar Wind Modeling at L1? by Satabdwa Majumdar, Martin A. Reiss, Karin Muglach, Charles N. Arge

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