Optimization on Nonlinear Dynamics of Gear Rattle in Automotive Transmission System by Mingxuan Liang, Ying Wang, Tian Zhao

“…Finally, the gear backlash, equivalent mass, and rotational speed are optimized based on Kriging surrogate model (KSM) and differential evolution (DE) algorithm by taking the minimization of the maximum rattle noise as the optimal object. …”
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Dynamic Modeling and Optimal Control for Complex Systems with Statistical Trajectory by Lingli Guo, Zhengguang Xu, Ye Wang

“…Then, based on the working state class dynamic modeling, the optimal control method which is significant to achieve trajectory tracking for sintering machine is developed by constructing the quadratic performance indicator. …”
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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

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Optimization of treatment and prevention of recurrences of bacterial vaginosis in postmenopausal women by S.O. Ostafiichuk, N.V. Drogomyretska, O.M. Kusa, O.V. Neiko, I.V. Levitsky, N.M. Kinash

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Neutrosophic Number Optimization Models and Their Application in the Practical Production Process by Angyan Tu, Jun Ye, Bing Wang

“…Next, the two methods are applied to linear and nonlinear programming problems with neutrosophic number information to obtain the optimal solution of the maximum/minimum objective function under the constrained conditions of practical productions by neutrosophic number optimization programming (NNOP) examples. …”
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Uptime optimization in a vertical dryer and its economic impact by Anderson Farias da Silva, Jorge Henrique de Oliveira Sales, João Pedro de Castro Nunes Pereira

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A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio by Mehran Sadri, Alireza Sadeghi, Mahdi Madanchi Zaj, Esmaeel Afzoon, Helia Dardaei-beiragh

“…The present paper investigates the problem of capital portfolio selection under uncertain conditions and uses a robust optimization approach for modeling. The model provided in this paper is a three-objective model that aims to maximize returns, maximize liquidity, and minimize risk. …”
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Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks by Rocco Restaino

“…Machine-learning-based algorithms designed for this task require an extensive optimization phase of network parameters, which must be performed using unsupervised learning techniques. …”
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Optimal Delivery of Pain Management in Schwannomatosis: A Literature Review by Hino U, Tamura R, Toda M

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The Optimal Noise Distribution for Privacy Preserving in Mobile Aggregation Applications by Hao Zhang, Nenghai Yu, Honggang Hu

“…Our theoretical and numerical analysis suggests that the Gaussian distribution is the optimal solution for the Gaussian input and the asymptotically optimal solution for the truncated Gaussian input.…”
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Optimization of Clinical Nursing Management System Based on Data Mining by Yongxia Chen

“…Therefore, this research is based on the framework of the hospital’s existing clinical care system, using data mining technology to improve the Bayesian algorithm and data preprocessing, optimizes the design of functional modules in the clinical nursing management system, and optimizes the patient information management, medical order management, medical order execution management, basic information and expense management, nursing execution process management, system and data management, barcode management, physical sign management, WAP information management, and other subsystems in the clinical nursing information management system. …”
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Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs by M. Askari, S. Soleimani, M. H. Shakoor, M. Momeni

“…This paper proposes a novel method based on a genetic algorithm to optimize parameter selection, enabling the construction of CNNs that achieve superior accuracy with fewer parameters. …”
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Optimization and Performance Analysis of Rail-Train Coupling System with Inerters by Shichang Han, Xian Wang, Chunxi Yang, Guowei Xie, Zhongcheng Qiu, Chen Wang

“…Optimization for vertical vibration performance of a rail-train coupling system is investigated in this paper with the introduction of inerters for both primary and secondary suspensions. …”
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The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems by Mohd Asrul Hery Ibrahim, Mustafa Mamat, Wah June Leong

“…In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining the search direction between conjugate gradient methods and quasi-Newton methods. …”
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Optimization of multiple sampling for solving network boundary specification problem by Ruochen Zhang

Subjects: “…Optimization…”
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OPTIMIZATION OF INERTIAL NAVIGATION DAMPING SYSTEM BASED ON SENSITIVITY ANALYSIS by WANG Ping, ZHANG GuangPeng, WEI Fei, LV Bing, LIANG ZhiChao

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MODELLING AND OPTIMIZATION DESIGN FRAMEWORK AND LAYOUT MICROSATELLITE EARTH OBSERVING by M. A. Starasotnikau, R. V. Feodortsau

“…Recommendations on the choice of optimal design of micro power skeleton, based on modeling the impact on his body external loads.…”
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VERIFICATION OF A TRAIN ON RAILWAY TRACK SIMULATION AND OPTIMIZATION SYSTEM by Adam MAŃKA, Piotr KISIELEWSKI, Jarosław KONIECZNY, Krzysztof LABISZ, Janusz ĆWIEK

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Trajectory Optimization of Manipulator based on Adaptive Transformation Bat Algorithm by Yongyan Sun, Wenyong Guo, Yunling Sun, Jinghang Wang

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Optimization of TMS target engagement: current state and future perspectives by Pantelis Lioumis, Pantelis Lioumis, Pantelis Lioumis, Timo Roine, Timo Roine, Ida Granö, Dogu Baran Aydogan, Dogu Baran Aydogan, Elena Ukharova, Victor H. Souza, Dubravko Kičić, Risto J. Ilmoniemi, Nikos Makris, Nikos Makris, Nikos Makris, Nikos Makris

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