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321
The Optimal Location of Interline Power Flow Controller in the Transmission Lines for Reduction Losses using the Particle Swarm Optimization Algorithm
Published 2024-02-01“…This paper proposed, the optimal location of the IPFC in electrical power systems, using the particle swarm optimization algorithm. …”
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322
Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization
Published 2025-12-01“…This study focuses on exploring collaborative optimization strategies for a nonlinear control system of railway signals based on the BBO algorithm. …”
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323
Multi-objective optimization of grinding process parameters for complicated worm space surface based on the grey wolf optimization algorithm
Published 2025-02-01“…The optimized grinding process parameters reduce the grinding time by 17.41%, improve the grinding surface quality by 4.46%, and reduce the grinding cost by 1.12% compared with the conventional machining scheme. …”
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324
Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method
Published 2014-01-01“…To improve the effect of adaptive optics images’ restoration, we put forward a deconvolution algorithm improved by the EM algorithm which joints multiframe adaptive optics images based on expectation-maximization theory. …”
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325
Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle
Published 2025-01-01“…A multi-objective improved differential evolution algorithm is used to solve the HEMSs. …”
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326
Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach
Published 2022-08-01Get full text
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327
Enhanced CO<sub>2</sub> Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm
Published 2025-05-01“…Feature selection using the Football Optimization Algorithm (FbOA) significantly improved its performance, reducing the RMSE to 0.018798774. …”
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328
Minimum cost of job assignment in polynomial time by adaptive unbiased filtering and branch-and-bound algorithm with the best predictor
Published 2025-06-01“…The minimum cost of job assignment (Min-JA) is one of the practical NP-hard problems to manage the optimization in science-and-engineering applications. …”
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329
Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization
Published 2025-12-01“…In addition, it examines 2,000 random surface soil samples, ranging from 0 to 20 cm, that were optimized using genetic algorithms (GA), particle swarm optimization (PSO), and Optuna. …”
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330
Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8
Published 2024-09-01“…The experimental results showed that adding MSDA at the small target layer in the Neck layer achieved the best effect, not only improving model performance but also maintaining low computational cost and model size, providing important references for the optimization of the MSDA mechanism. …”
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331
Microgrid Energy Management Considering Energy Storage Degradation Cost
Published 2025-04-01“…The improved sine cosine algorithm (SCA) is used to simulate the energy output optimization of various distributed generators in the microgrid. …”
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332
Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction
Published 2025-03-01“…This paper introduces an improved LSTM (Long Short-Term Memory) algorithm and sliding window technology to improve the accuracy and stability of traffic flow prediction. …”
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333
Optimizing capacitor bank placement in distribution networks using a multi-objective particle swarm optimization approach for energy efficiency and cost reduction
Published 2025-04-01“…The novelty of this work lies in the application of the MOPSO algorithm to optimize capacitor bank placement, considering multiple objectives such as energy loss reduction, voltage stability, and cost savings, which differentiates it from conventional approaches. …”
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334
Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults
Published 2025-07-01“…The memory usage test findings denoted that the average memory usage of the research model was less than 46%, which was better than the control model.DiscussionThe research promotes innovation and optimization of mechanical fault diagnosis technology, improves the accuracy and timeliness of fault diagnosis analysis models, and is of great significance for ensuring production safety, reducing maintenance costs, and improving enterprise economic benefits.…”
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335
Improved machine classification algorithm for electric rail circuits in train warning systems
Published 2019-12-01“…In this article, we present an improved classification algorithm, which combines the simplicity of implementation and accuracy. …”
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336
A Lightweight Detection Method for Meretrix Based on an Improved YOLOv8 Algorithm
Published 2025-06-01“…To address this issue, this paper proposes a lightweight detection method, YOLOv8-RFD, based on an improved YOLOv8 algorithm, tailored for clam sorting applications. …”
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337
Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms
Published 2024-11-01Get full text
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338
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339
Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images
Published 2025-07-01“…In practical applications for detecting indistinct boundary planting holes within complex scenarios, our algorithm consistently outperforms other detection networks with exceptional precision (F1-score = 0.95), low computational cost, rapid detection speed, and robustness, thus laying a solid foundation for advancing precision agriculture.…”
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340
A Betweenness Calibration Topology Optimal Control Algorithm for Wireless Sensor Networks
Published 2013-09-01“…Based on the complex network theory, this paper proposed a novel betweenness addition edges expansion algorithm (BAEE). With betweenness calibration, BAEE algorithm expanded the minimum-cost edges to optimize the network topology. …”
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