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1041
Photovoltaic Global Maximum Power Tracking Based on Improved Dragonfly Algorithm
Published 2022-02-01“…The convergence rate and global search ability of the algorithm are improved by optimizing particle roles and introducing the Lévy flight model. …”
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1042
Identification of soil texture and color using machine learning algorithms and satellite imagery
Published 2025-08-01“…For future research, it is recommended to explore the combination of SVR with optimization techniques such as genetic algorithms to further improve the accuracy of soil texture and color predictions.…”
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1043
Real Power Loss Reduction by the Cultivation of Soil Optimization Algorithm
Published 2020-01-01“…In this paper, the optimal reactive power problem has been solved by the cultivation of soil optimization (CSO) algorithm. …”
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1044
Techno-Economic Enhancement of Distribution Network by Optimal DG Allocation Along with Network Reconfiguration Considering Different Load Models and Levels
Published 2025-06-01“…Therefore, this work focuses on improving DN performance with optimal DG integration along with NR. …”
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1045
Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle
Published 2025-08-01“…Three different methods were used for optimization: Genetic Algorithm (GA), Particle Swarm Optimization (PSE) and Differential Evolution (DE) Optimization. …”
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1046
Improved Backpropagation Using Genetic Algorithm for Prediction of Anomalies and Data Unavailability
Published 2024-08-01“…GA is effective in finding optimal parameter solutions and improving prediction accuracy. …”
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1047
An intelligent comprehensive scoring approach based on improved differential evolution algorithm
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1048
An intelligent comprehensive scoring approach based on improved differential evolution algorithm
Published 2025-03-01Get full text
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1049
Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels
Published 2025-10-01“…This review analyzes secondary data on nanoparticle integration in board production, aiming to evaluate the relationships among physical (water absorption (WA) and thickness swelling (TS)) and mechanical (modulus of rupture (MOR), modulus of elasticity (MOE); and internal bond (IB) strength) properties and to predict performance using machine learning (ML) algorithms. These algorithms include Pearson correlation, hierarchical clustering, and decision tree (DT) models. …”
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1050
A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization
Published 2022-01-01“…In addition, filter optimization has been innovatively introduced in this paper, and the step size of each iteration of the model is selected through the filter optimization algorithm to achieve the better iterative effect. …”
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1051
The deep separable convolution with DSC NCF model and optimization mechanism of digital economy for intelligent manufacturing under sales order recommendation algorithm
Published 2025-08-01“…These results indicate that the DSC-NCF algorithm has significant advantages in feature extraction and model optimization, enabling it to more accurately capture complex relationships between users and items, thereby enhancing the performance of the recommendation system. …”
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1052
Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm
Published 2025-05-01“…With this incitement, this paper suggests a hybrid deep learning (DL) model via Long Short-Term Memory (LSTM) networks and Chaotic Particle Swarm Optimization (CPSO). …”
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1053
Optimal Economic Modelling of Hybrid Combined Cooling, Heating, and Energy Storage System Based on Gravitational Search Algorithm-Random Forest Regression
Published 2021-01-01“…The random forest regression (RFR) model was optimized by the gravitational search algorithm (GSA). …”
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1054
Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm
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1055
Research of a spam filter based on improved naive Bayes algorithm
Published 2017-03-01“…In spam filtering filed,naive Bayes algorithm is one of the most popular algorithm,a modified using support vector machine(SVM)of the native Bayes algorithm :SVM-NB was proposed.Firstly,SVM constructs an optimal separating hyperplane for training set in the sample space at the junction two types of collection,Secondly,according to its similarities and differences between the neighboring class mark for each sample to reduce the sample space also increase the independence of classes of each samples.Finally,using naive Bayesian classification algorithm for mails.The simulation results show that the algorithm reduces the sample space complexity,get the optimal classification feature subset fast,improve the classification speed and accuracy of spam filtering effectively.…”
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1056
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1057
An Improved SHEPWM Modulation Algorithm for Three-levelEnergy Feedback Inverter
Published 2021-01-01“…Meanwhile, the mathematical model of selected harmonic elimination is optimized and genetic algorithm is employed to solve the harmonic elimination model of the three-level NPC inverter. …”
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1058
Optimal geometrical selection of skin mesh: experimental analysis and numerical optimization
Published 2025-07-01“…Hyperelastic properties of healthy and meshed skin were obtained through uniaxial tensile tests, and different geometries were analyzed using Abaqus. The optimal mesh geometry was then determined using genetic algorithms in Abaqus and MATLAB. …”
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1059
Genetic algorithm application in multi-objective optimization of structural parameters and PID controller parameters on bus driver seat's suspension system
Published 2025-01-01“…The driver seat's suspension system is optimized through a 3DOF quarter-vehicle model. The optimization's objectives are simultaneously minimizing the driver's acceleration and displacement. …”
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1060
An improved traffic lights recognition algorithm for autonomous driving in complex scenarios
Published 2021-05-01“…This article proposed an improved vision-based traffic lights recognition algorithm for autonomous driving, integrating deep learning and multi-sensor data fusion assist (MSDA). …”
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