The effect of sampling methods on the validity and reliability of the estimation of the orbital stability of human gait by Jeongin Moon, Jooeun Ahn

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Mixed Balanced Truncation for Reducing the Complexity of Large-Scale Electrical and Electronic System Simulations by Huy-Du Dao, Thanh-Tung Nguyen, Ngoc-Kien Vu, Van-Ta Hoang, Hong-Quang Nguyen

“…The results demonstrate that MBT achieves effective order reduction with minimal error while reducing computational costs. …”
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Novel Ten-Port MIMO Antenna with Enhanced Polarization Diversity for 5G Applications by R. S. Mathu Bala, K. Thenmalar

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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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3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging by Rizos-Theodoros Chadoulis, Ioannis Livieratos, Ioannis Manakos, Theodore Spanos, Zeinab Marouni, Christos Kalogeropoulos, Constantine Kotropoulos

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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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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

“…In this study, a system consisting of mounting equipment, a 3-axis active mount, a middle pedestal, and a lower mount of the middle pedestal was modeled using a finite element analysis program, and a mobility model was constructed by calculating the frequency response function between the positions required for analysis. The error signal (primary path) obtained using the mobility model and the response at the operating point by the control force of the actuator (secondary path) are applied to the narrowband Fx-LMS algorithm for vibration control, and the control performance was compared. …”
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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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Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature by Varatharajan Prasannavenkadesan, K. B. Badri Narayanan, Subramanian Raja

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Dynamic prediction of whole CO2 flooding development process in low permeability reservoirs by WANG Yanwei, LIN Lifei, WANG Hengli

“…Compared with the experimental results, the predicted recovery errors of the model were 5.7% and 4.5%, respectively, with good agreement in gas-oil ratio and oil recovery curves. …”
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Electroreduction of Carbon Dioxide to Formic Acid Using a Bi-Sn Nanoparticle Catalyst and an Ionic Liquid Electrolyte by Akaninyene Christopher Offong, Abdulhakim Adeoye Shittu

“…The model was also scaled to an n-cell stack using COMSOL Multiphysics, revealing a 2.2 % relative error between unit cell and stack configurations. …”
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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

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Design of Hybrid MPC-PID Controller Based on Fractional Order Model of AMR by Orkan Murat Celik, Furkan Nur Deniz, Murat Koseoglu

“…It is demonstrated that the hybrid controller, which is designed without requiring detailed equations of the system components, exhibits a good performance in minimizing errors and enhancing reliability for both angular and linear velocity values.…”
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