Multi-Objective Optimal Control Method for the 6-DOF Robotic Crusher by Guochen Duan, Lele Yao, Zhanyu Zhan, Tao Kang, Chaoyue Guo

“…In order to achieve the best crushing effect of the 6-DOF robotic crusher, a multi-objective optimal control method for the 6-DOF robotic crusher has been proposed. …”
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Parkinson’s Disease Gravity Index: A Method by means of Optimal Scaling by Marcos Serrano-Dueñas, Luis Masabanda, Maria-Rosario Luquin

“…This study has been designed with the aim of using optimal scaling to perform the allocation of scores and to be able to construct an indicator of the Parkinson’s Disease Gravity Index. …”
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Variability of Interpolation Errors and Mutual Enhancement of Different Interpolation Methods by Yunxia He, Mingliang Luo, Hui Yang, Leichao Bai, Zhongsheng Chen

“…Different interpolation methods are widely used in related fields, but the error between different interpolation methods and their interpolation fusion optimization have a significant impact on the interpolation accuracy, which still deserves further exploration. …”
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Low Computational Cost for Multiple Waypoints Trajectory Planning: A Time‐Optimal‐Based Approach by Da‐hui Lin‐Yang, Francisco Pastor, Alfonso J. García‐Cerezo

“…Simulation and real‐world experiments are performed to validate the feasibility of our method with different configurations. Simulation results compared to a benchmark method demonstrate our approach's superior performance in terms of computational time, achieving near‐optimal solutions. …”
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Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization by Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni

“…The problem is addressed through the parallel execution of three different optimization methods (PSO, Differential Evolution, and Multistart). …”
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Optimization of in vivo delivery methods and their applications in seminiferous tubules of mice by Xinyuan Dai, Fangzhu Wang, Siting Wang

“…Abstract This study aims to explore and optimize the conditions for in vivo transfection and gene editing, emphasizing their potential applications in the treatment of infertility in mice. …”
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Optimizing collection methods for noninvasive genetic sampling of neotropical felids by Claudia Wultsch, Lisette P. Waits, Eric M. Hallerman, Marcella J. Kelly

“…ABSTRACT Field‐sampling methods for molecular scatology studies must be optimized, especially when working on elusive species in challenging tropical environments where rates of DNA degradation are elevated because of hot and humid weather conditions. …”
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An Objective Evaluation Method for Image Sharpness Under Different Illumination Imaging Conditions by Huan He, Benchi Jiang, Chenyang Shi, Yuelin Lu, Yandan Lin

“…Blurriness is troublesome in digital images when captured under different illumination imaging conditions. To obtain an accurate blurred image quality assessment (IQA), a machine learning-based objective evaluation method for image sharpness under different illumination imaging conditions is proposed. …”
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Optimization of endocrine pancreas fluorescence analysis using machine methods by T. V. Ivanenko, A. V. Abramov

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OPTIMIZATION OF TEACHING METHODS IN SPORTS CLASSES WITH STUDENTS WITH VISUAL IMPAIRMENTS by Mariana Albert, Evald Albert

“…Tasks: To explore the peculiarities of the students’ adaptation to regular physical workload; To analyze the students’ social behavior and attitude within and outside the group; To optimize the methods of teaching sport. The research was done among 105 people (male and female) with major Vision-impaired Masseurs. …”
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Optimization of Axial Misalignment due to Glass Drilling by Statistical Methods by Sabri Ozturk, Faruk Harmancı

“…According to the results, the suggested model and optimization method could be used for estimating axial misalignment and this investigation is reliable and proper for figuring out the problems met in machining operations. …”
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OPTIMIZATION OF SOIL POLLUTION MONITORING METHODS BY USE OF BIOLOGICAL TESTS by Elena BONCIU, Elena ROȘCULETE, Cătălin Aurelian ROȘCULETE, Aurel Liviu OLARU

“…From this point of view, the use of the Allium biological test can contribute to optimization of the methods of monitoring the chemical pollution of soil with herbicides.…”
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Breast Cancer Classification with Various Optimized Deep Learning Methods by Mustafa Güler, Gamze Sart, Ömer Algorabi, Ayse Nur Adıguzel Tuylu, Yusuf Sait Türkan

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Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach by Takayuki Sasaki, Kazuya Hayase, Masaki Kitahara, Shunsuke Ono

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Optimal Configuration of Distributed Energy Storage in Distribution Networks Based on Moment Difference Analysis by Donglei SUN, Yao WANG, Huiwen ZHANG, Rui LIU, Bingke SHI

“…Based on this, a new method of energy storage optimization configuration of distribution network based on moment difference analysis is proposed. …”
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Determination of the optimal sowing time for different cotton varieties under irrigation in the Rostov region by Alexander N. Babichev, Rita Ye. Yurkova, Sergei А. Selitsky

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Analysis of Smart Grid Optimal Scheduling considering the Demand Response of Different EV Owners by Xiaohua Zhang, Chongyang Liao, Xingrui Chen, Kuiheng Deng, Bolin Chen, Yibo Gong

“…To evaluate the proposed method, the IEEE 10-unit system is employed for simulation, and the optimization problem is solved using the CPLEX solver. …”
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On the optimal control of single-stage hybrid manufacturing systems via novel and different variants of particle swarm optimization algorithm by M. Senthil Arumugam, M. V. C. Rao

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Performance Assessment of Natural Survivor Method-Based Metaheuristic Optimizers in Global Optimization and Engineering Design Problems by Hüseyin Bakır

“…NSM-LSHADE-SPACMA_Case2, which was found to be the most powerful of the NSM-based algorithms, is used to solve cantilever beam design, tension/compression spring design, pressure vessel design and gear train design problems. The optimization results are also compared with eight state-of-the-art metaheuristics, including Rime Optimization Algorithm (RIME), Nonlinear Marine Predator Algorithm (NMPA), Northern Goshawk Optimization (NGO), Kepler Optimization Algorithm (KOA), Honey Badger Algorithm (HBA), Artificial Gorilla Troops Optimizer (GTO), Exponential Distribution Optimization (EDO) and Hunger Games Search (HGS). …”
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Using the clustering method to find the final environmental parameters coefficients in road construction projects by Eshagh Rasouli Sarabi, Ramin Vafaei Poursorkhabi, Mehdi Ravanshadnia

“…In the present study, a new method consisting of two phases was proposed to determine the optimal coefficient of environmental parameters in road construction parameters. …”
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