Process Optimization for Complex Product Assembly Workshops with AGV Integration via Discrete Event Simulation by Hailong Song, Shengluo Yang, Shuoxin Yin, Zhigang Xu

“…This model simulates the coordination between AGVs and workstations while optimizing workstation layout and material flow. …”
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Optimization of Laser Cutting Parameters for Mild Steel using Regression Analysis and Differential Evolution Algorithm by Sayit Özbey, İsmet Tıkız, Aysen Şimşek Kandemir

“…The primary objective in the production of parts is to optimize the manufacturing process. As the industry recognizes the roughness of the cut product as one of the key criteria, it becomes critical to select the correct laser settings with minimum trial, error and at the lowest possible cost while using reliable techniques to achieve the desired surface finish. …”
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Optimizing irrigation management: evaluating silage maize water requirements using soil moisture monitoring by Iman Hajirad

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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…Initially, to ensure kinematic constraints and obstacle avoidance requirements in the outer loop of the optimization process, an "eight-neighborhood spiral" drivable obstacle avoidance tunnel method was introduced on the basis of the classic drivable tunnel technology. …”
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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

“…This study applies the Random Forest (RF) algorithm combined with hyperparameter optimization methods including Grid Search (GS), Random Search (RS), Bayesian Optimization (BO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Optuna Optimization (OO) to build a predictive model. …”
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Parameter Optimization Analysis of Buttressed Pile Foundation Beam Retaining Wall Under Seismic Action by Yonggui Lin, Chunshan Yang, Aoyu Xu, Hui Ma, Yadong Li, Chuanzhi Wang

“…The study confirms that optimizing the synergistic design of the beam-slab length and width while controlling the retaining wall height can significantly enhance the seismic performance of the structure. …”
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Modelling the Accommodation Preferences of Tourists by Combining Fuzzy-AHP and GIS Methods by Ali Mahdi, Domokos Esztergár-Kiss

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Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines by L. A. Demidova, A. V. Gorchakov

“…Methods of optimization theory, theory of evolutionary computation and swarm intelligence, probability theory, mathematical statistics and systems analysis were used.Results. …”
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Prediction of Psychoacoustic Metrics Using Combination of Wavelet Packet Transform and an Optimized Artificial Neural Network by Mehdi POURSEIEDREZAEI, Ali LOGHMANI, Mehdi KESHMIRI

“…In this paper, a modified sound quality evaluation (SQE) model is developed based on combination of an optimized artificial neural network (ANN) and the wavelet packet transform (WPT). …”
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Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization by Mohamed S. Sawah, Hela Elmannai, Alaa A. El-Bary, Kh. Lotfy, Osama E. Sheta

“…Among the feature selection methods, BPSO achieved the best Mean Squared Error (MSE) score of 53.56, but with high variance, while BWAO demonstrated lower variance and consistent results. …”
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Multiscale Modeling and Reconstruction of Joint Motion: Finite Element Optimization Based on Particle Swarm Algorithm by Jiaju Zhu, Zhong Zhang, Runnan Liu, Meixue Ren, Guodong Ma

“…High-resolution CT and MRI scans of the knee joint were utilized to construct an accurate 3D reconstruction model, while the particle swarm algorithm was implemented to optimize joint positioning. …”
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Dynamic Carbon Emission Measurement and Optimal Dispatching of Power Systems Considering Dual-Carbon Targets by Qiang Li, Feng Zhao, Laidong Zhang, Xuecheng Zhang, Juanyu Liu, Ying Chen, Xinyue Li

“…Thus, in order to lower the power system’s carbon emissions while also ensuring the system’s economy and dependability, the study suggests a dynamic carbon emission measurement and optimal dispatching model that considers the dual-carbon goal. …”
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Experimental study on water migration in unsaturated loess under an electric field: optimization of electrode material by Dan Jiao, Zhiheng He, Zhiheng He, Tiehang Wang, Yonggang Zhang

“…Electroosmosis method is an environmentally friendly and low-carbon foundation treatment technique that can quickly improve soil shear strength. …”
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Fast ℒaasso- 𝓜pc Using Extended Kalman Filter for Robot-Assisted Rehabilitation: with Optimal Impedance by Hossein Ahmadian, Heidar Ali Talebi, Iman Sharifi

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Treatment optimization for iron deficiency anemia in pregnant women as a resource to prevent perinatal complications by T. P. Zefirova, R. R. Mukhametova, E. Iu. Iupatov, A. T. Khaertdinov

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Differential Diagnosis of Peripheral Lung Lesions: Capabilities and Limitations of Current Methods by R. N. Islamov, R. A. Sharipov, M. A. Bagirov, R. K. Tukfatullin, G. V. Chitorelidze, E. V. Pavlova, R. K. Yagafarova

“…It is recommended that a comprehensive approach combining CT, characterized by high informative value, and PET scan, characterized by high sensitivity and specificity for nodules >10 mm, with invasive methods be used. VATS proves effective for lesions below 3 cm, while thoracotomy is applied to large lesions. …”
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Optimizing protein-ligand docking through machine learning: algorithm selection with AutoDock Vina by Ala’ Omar Hasan Zayed

“…While numerous algorithms exist for protein-ligand docking, achieving an optimal balance between accuracy and computational speed remains challenging. …”
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Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

“…PCA kept 12 components while maintaining 95% of the variance in the dataset. …”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…To fine-tune model parameters efficiently, the method incorporates the Chaotic Billiards Optimizer (CBO) alongside the Adam optimizer. …”
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Research on Optimization Technology of Minimum Specific Fuel Consumption for Triple-Bypass Variable Cycle Engine by Haonan Guo, Yuhua Zhang, Bing Yu

“…In this paper, a multivariable steady-state controller was designed based on Model Predictive Control (MPC) to meet the needs of engine optimization control mode switching. The simulation results of the supersonic cruise mode show that the minimum fuel consumption control can reduce the fuel consumption of the engine by 2.6% while the thrust remains constant.…”
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