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661
Research on demodulation technology of fiber Bragg grating sensor based on generalized regression neural network
Published 2025-02-01Subjects: Get full text
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662
Study on Application of CYCBD based on PSO in Fault Feature Extraction of Rolling Bearing
Published 2021-02-01Subjects: Get full text
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663
Faulted Line Segment Location Method for Low-Voltage Distribution Network Based on Adjacency Matrix
Published 2021-11-01Subjects: Get full text
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664
Bio-Inspired Metaheuristics in Deep Learning for Brain Tumor Segmentation: A Decade of Advances and Future Directions
Published 2025-05-01Subjects: Get full text
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665
Super-Resolution Reconstruction From Multiple Defocused Infrared Images of Stationary Scene
Published 2017-01-01Subjects: Get full text
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666
A Study on the Vehicle Routing Planning Method for Fresh Food Distribution
Published 2024-11-01Subjects: Get full text
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667
An Optimized Hybrid PSO-ELM for Parkinson’s Disease Diagnosis
Published 2025-01-01“…This paper proposes a hybrid model combining Particle Swarm Optimization with Extreme Learning Machine (PSO-ELM) for PD diagnosis. …”
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668
Machine Learning-Enabled Prediction and Optimization of Sulfur Recovery Units: A Step towards Industry 4.0 Integration
Published 2024-04-01“…In the next step, the Gaussian process regression model served as a surrogate for fitness function evaluations within a particle swarm optimization framework. The application of a hybrid optimization methodology resulted in the optimal parameter values, leading to a notable 3% increase in sulfur recovery efficiency. …”
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669
Optimization of Gear Modification Amount based on Polynomial Response Surface Proxy Model
Published 2020-11-01“…Aiming at the problem that gear modification is difficult to determine under the influence of multiple factors, the gear modification is optimized based on the polynomial response surface proxy model and particle swarm optimization algorithm. …”
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670
Utilizing Artificial Intelligence to Solve Construction Site Layout Planning Problems
Published 2024-07-01Subjects: Get full text
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671
Optimal Configuration Method for Electric-thermo-hydrogen System Considering Safety Risks
Published 2024-09-01Subjects: “…tabu chaotic quantum particle swarm optimization algorithm…”
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672
Secure and Intelligent Single-Channel Blind Source Separation via Adaptive Variational Mode Decomposition with Optimized Parameters
Published 2025-02-01Subjects: Get full text
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673
LVRT Measurement Model and Transient Parameter Identification of Wind Turbine Based on Chaotic Particle Swarm
Published 2024-08-01“…Secondly, based on part of the field measured LVRT data of doubly-fed wind turbines, the fault transient parameters are identified with the chaotic particle swarm optimization algorithm. Finally, the accuracy of the identification parameters are analyzed and verified based on the remaining measured data. …”
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674
Using Artificial Intelligence Techniques for Image Compression
Published 2014-12-01Subjects: Get full text
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675
Evaluation Method for Remaining Life of XLPE Insulated Power Cable
Published 2023-06-01Subjects: “…particle swarm optimization algorithm…”
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676
Optimization of Transformation Coefficients Using Direct Search and Swarm Intelligence
Published 2017-04-01“…This research applies Particle Swarm Optimization algorithm (PSO). The model of Tajik power system used in experiments. …”
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677
Study on Trajectory Optimization for a Flexible Parallel Robot in Tomato Packaging
Published 2024-12-01“…To improve the efficiency of the tomato packaging process, a hybrid algorithm combining particle swarm optimization (PSO) and genetic algorithms (GA) was developed to optimize the operation time of the parallel robot. …”
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678
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679
Handling method for GPS outages based on PSO-LSTM and fading adaptive Kalman filtering
Published 2025-04-01Get full text
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680
A throughput and priority optimization strategy for high density healthcare IoT
Published 2025-03-01“…Firstly, the complex interference problem among WBANs is converted into a distance-based graph coloring model, then time division multiple access and a two-level split clustering methods are adopted to allocate initial time slots for nodes. Secondly, the particle swarm optimization algorithm is used to optimize the time slot of each node for maximizing the throughput. …”
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