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381
Application of Improved Whale Algorithm to Optimize Dephosphorization Process Parameters in Converter Steelmaking
Published 2025-04-01“…This study addresses process parameter optimization challenges in converter steelmaking by proposing an improved multi-objective whale optimization algorithm (IMOWOA) that synergistically integrates metallurgical thermodynamics with data-driven modeling. …”
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382
Improved Exponential and Cost-Weighted Hybrid Algorithm for Mobile Robot Path Planning
Published 2025-04-01“…This paper proposes a hybrid algorithm combining an improved A* algorithm with the Dynamic Window Approach. …”
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383
Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images
Published 2025-07-01“…Lastly, our proposed Siblings Detection Head reduces computational burden while significantly improving detection performance. Ablation experiments demonstrate that compared to baseline models, YOLO-PH exhibits notable improvements of 1.3% in mAP50 and 1.1% in mAP50:95 while simultaneously achieving a reduction of 48.8% in FLOPs and an impressive increase of 26.8 FPS (frames per second) in detection speed. …”
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384
Research on prediction of bottom hole flowing pressure for vertical coalbed methane wells based on improved SSA-BPNN
Published 2025-04-01“…Additionally, the Sparrow Search Algorithm (SSA) was improved. These were coupled to establish a forecasting model for flowing bottom hole pressure based on the improved SSA-BPNN approach. …”
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385
FAULT DIAGNOSIS OF SCRAPER CONVEYOR REDUCER BASED ON IMPROVED FIREFLY ALGORITHM TO OPTIMIZE NEURAL NETWORK
Published 2019-01-01“…The second application feature data sample for fault diagnosis model based on neural network training. Using the improved firefly algorithm to optimize neural network weights and threshold, to speed up the optimum value of, get the optimal model of the network. …”
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386
Improved Particle Swarm Optimization Algorithm Optimize the Control Strategy of Family Energy Management System
Published 2018-04-01“…In order to better respond accding to the demand of TOU price control project management of family family load and energy,put forward the household electricity load control strategy,based on analysis of the existing household electricity load control strategies,using improved particle swarm optimization algorithm for the control strategy optimization target,the establishment of a single-user,multi-user household electricity control optimization model,In the MATLAB platform,the results of optimization algorithm are analyzed by simulation. …”
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387
Distributed photovoltaic reactive power control strategy based on improved multiobjective particle swarm algorithm
Published 2024-11-01“…When the algorithm is compared with three other algorithms, such as nondominated sorting genetic algorithm‐II, the results show that it reduces the network loss by about 25% and significantly improves the voltage fluctuation rate.…”
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388
Optimization on Electric Construction Machinery Considering Time‐of‐Use Electricity Price Based on the Improved Crested Porcupine Optimizer Algorithm
Published 2025-06-01“…Simulation results validate the accuracy and practicality of the proposed model and algorithm, showing a reduction of over 7% in both engineering time and energy consumption.…”
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389
DEVELOPMENT THE MODEL OF IMPROVING THE QUALITY OF TRAINING
Published 2017-03-01“…Developed the model of improving the training of specialists on the basis of accounting processes of improvement of qualification specialist and formation of its competences in extracurricular process. …”
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390
Improving aquifer vulnerability assessment and its explainability in the Zanjan aquifer: Integrating DRASTIC model and optimized long short-term memory-based metaheuristic algorithms
Published 2025-06-01“…The LSTM model was optimized using the particle swarm optimizer (PSO) and equilibrium optimizer (EO) metaheuristic algorithms. …”
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391
Econometric Modeling Combining MCMC Algorithm and Random Coefficient Quantile AR Model
Published 2025-01-01“…In summary, the fusion algorithm proposed in the study can improve the prediction efficiency of econometric models, accelerate the prediction process, optimize economic benefits, and reduce investment risks for enterprises and individuals.…”
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392
Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning
Published 2025-05-01“…Abstract The increasing utilization of renewable energy sources in low-inertia power systems demands advanced control strategies for grid-forming inverters (GFMs). Conventional Model Predictive Control (MPC) methods, which depend on static models and predefined boundaries, often struggle to preserve frequency stability in dynamic grid conditions. …”
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393
Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm
Published 2024-12-01“…However, how to extract useful information from these vast amounts of data and transform it into strategies for teaching improvement is a challenge. The research aims to propose a teaching quality monitoring and improvement method based on big data technology, which combines K-means clustering algorithm and association rule mining algorithm to improve the accuracy of teaching monitoring and the effectiveness of teaching improvement. …”
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394
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395
Real-Time Optimization Improved Model Predictive Control Trajectory Tracking for a Surface and Underwater Joint Observation System Based on Genetic Algorithm–Fuzzy Control
Published 2025-03-01“…Initially, the novel observation platform has been designed, and its mathematical model has been systematically established. In addition, this study optimizes the MPC trajectory tracking framework by integrating the least squares adaptive algorithm and the Extended Alternating Direction Method of Multipliers (EADMM). …”
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396
Synchronous End-to-End Vehicle Pedestrian Detection Algorithm Based on Improved YOLOv8 in Complex Scenarios
Published 2024-09-01“…The experimental results show that, using the algorithm designed in this paper, our model achieves an 11.76% increase in precision and a 6.27% boost in mAP. …”
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397
Analysis of Power Generation Potential of Kaidu River Cascade Hydropower Stations Based on Simulation-Optimization Dispatching Framework
Published 2024-01-01Subjects: Get full text
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398
Analysis of Power Generation Potential of Kaidu River Cascade Hydropower Stations Based on Simulation-Optimization Dispatching Framework
Published 2025-02-01Subjects: Get full text
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399
Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM
Published 2023-05-01Subjects: Get full text
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400
Research on algorithm for improving imaging accuracy of CFRP low speed impact damage
Published 2025-02-01Get full text
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