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921
Robust Photovoltaic Power Forecasting Model Under Complex Meteorological Conditions
Published 2025-05-01“…To effectively mitigate these limitations, this work proposes a dual-stage feature extraction method based on Variational Mode Decomposition (VMD) and Principal Component Analysis (PCA), enhancing multi-scale modeling and noise reduction capabilities. Additionally, the Whale Optimization Algorithm is adopted to efficiently optimize the hyperparameters of iTransformer for the framework, improving parameter adaptability and convergence efficiency. …”
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922
Aerodynamic Shape Optimization of a Missile Using a Multiobjective Genetic Algorithm
Published 2020-01-01“…Multiobjective Genetic Algorithm (MOGA) was used to optimize missile geometry. …”
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923
Optimizing Route for Hazardous Materials Logistics Based on Hybrid Ant Colony Algorithm
Published 2013-01-01“…To achieve the purpose of balancing risk and cost for route based on the principle of ACA that used to solve TSP, the improved HACA was designed. Considering the capacity of road network and the maximum expected risk limits, a route optimization model to minimize the total cost is established based on network flow theory. …”
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924
Design and Control for Piezoelectric Energy Harvester Based on a Heuristic Optimization Algorithms
Published 2025-01-01“…The model output response is improved after adjusting the PID controller in line with optimization algorithms as compared with the conventional PID controller. …”
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925
Improved Optimized Minimum Generalized L<sub>p</sub>/L<sub>q</sub> Deconvolution and Application to Bearing Fault Detection
Published 2025-03-01“…To overcome the shortcomings of the OMGD, this study proposes an improved version, termed the IOMGD. The enhanced technique employs an advanced sparrow search algorithm to automatically ascertain the filter length, doing away with the need for a predetermined fixed value. …”
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926
Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm
Published 2025-06-01“…After reinforcement learning training, the trajectory offset is significantly reduced, and the accuracy is greatly improved. This research shows that the TD3 algorithm is superior to the multi-objective optimization algorithm in optimizing key parameters, such as well deviation, kickoff point (KOP), and trajectory length, especially in well deviation and KOP optimization. …”
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927
Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation
Published 2025-07-01“…However, the accuracy of our algorithm significantly improved when individual trust coding templates were applied. …”
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928
Optimization of Flexible Rotor for Ultrasonic Motor Based on Response Surface and Genetic Algorithm
Published 2024-12-01“…This paper presents an optimization method that combines the Kriging response surface model with a multi-objective genetic algorithm (MOGA). …”
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929
Optimal Setting Method of Inverse Time Overcurrent Protection for the Distribution Networks Based on the Improved Grey Wolf Optimization
Published 2021-01-01“…The setting of protection parameters is vital to the large-scale application of reverse time overcurrent protection in the distribution networks. A fixed value optimization method of inverse time overcurrent protection for the distribution networks with distributed generation based on the improved Grey Wolf algorithm is proposed, which takes the protection action equation and the sensitivity, speed, and selectivity into consideration. …”
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930
Commercial Vehicle Ride Comfort Optimization Based on Intelligent Algorithms and Nonlinear Damping
Published 2019-01-01“…To improve the reliability of ride comfort optimization and analysis, a ride comfort optimization method based on nonlinear damping and intelligent algorithms is proposed. …”
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931
Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation
Published 2024-11-01“…In addition, the Fireworks Algorithm (FWA) is presented as an optimization method, demonstrating its potential in improving the model’s predictive abilities by effectively exploring and exploiting the search space. …”
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932
Optimization of the Driving Mode Transformation of Hybrid Electric Bus based on Genetic Algorithm
Published 2015-01-01“…The hybrid electrical city bus has two power sources to drive vehicle,so the control of vehicle driving mode transformation is become the core of the vehicle control strategy.It not only influences the vehicle fuel economy and emissions,but also influences the driving comfort of the vehicle.An HEV simulation model is built for performance analysis by interlinking of advanced software AVL CRUISE and Matlab/Simulink.By adjusting threshold of the driving mode transformation,the mode can be transformed smoothly.For achieving minimum equivalent fuel consumption,the genetic algorithm(GA)optimization method is applied to get the optima of control parameters which affect the vehicle driving mode transformation in different city bus cycles including Europe and China.The vehicle fuel economy is further improved.…”
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933
Optimizing Deep Learning Algorithms for Effective Chicken Tracking through Image Processing
Published 2024-08-01Get full text
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934
Optimization of the Naive Bayes Algorithm with SMOTETomek Combination for Imbalance Class Fraud Detection
Published 2024-11-01Get full text
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935
An image processing technique for optimizing industrial defect detection using dehazing algorithms.
Published 2025-01-01“…The overall performance surpasses CNN and MADNet models, and verification using the improved YOLOv8 model significantly enhances defect detection confidence while greatly reducing missed detections. …”
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936
Algorithm on joint optimization of power allocation and slot allocation in satellite communication systems
Published 2014-10-01“…An algorithm to jointly optimize the power allocation and the slot allocation in order to improve the utilization efficiency of the limited resources on the satellite was proposed.The basic principles of the mutual compensation and mutual independence between these two resources are explored to pave the way for joint optimization.Considering the differences about each station’s channel condition and capacity requirement,a state-combination model for optimally allocating the resources is setted up,so as to adapt the multi-resource usage pattern with each earth station.Targeting at the energy efficiency,an iterative dual optimization algorithm is proposed,and the final optimal policy for resource allocation with low complexity is obtained.With the simulation and analysis,the proposed joint optimization is verified to perform better than the non-joint ones in the perspective of the energy efficiency,especially when the frequency resource (the carrier number) is less.…”
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937
Use Linear Weighted Genetic Algorithm to Optimize the Scheduling of Fog Computing Resources
Published 2021-01-01“…When the user does not specify the preference weight, a set of optimal solutions can be obtained through the improved nondominated sorting genetic algorithm with elite strategy. …”
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938
Optimization of particle filter tracking algorithm based on weakly supervised attribute learning
Published 2025-05-01“…Abstract This study proposes an optimization method for particle filter tracking algorithm to solve the issues of low recognition efficiency and poor tracking accuracy faced by existing target tracking algorithms in complex environments. …”
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939
Improving EEG based brain computer interface emotion detection with EKO ALSTM model
Published 2025-07-01Get full text
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940
Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR
Published 2025-01-01Get full text
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