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801
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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802
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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803
Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm
Published 2025-08-01Get full text
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804
Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm
Published 2024-12-01“…Accurate influenza prediction is a critical issue in public health and serves as an essential tool for epidemiological studies. This paper seeks to improve the prediction accuracy of influenza-like illness (ILI) proportions by proposing a novel predictive model that integrates a data decomposition technique with the Grey Wolf Optimizer (GWO) algorithm, aiming to overcome the limitations of current prediction methods. …”
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805
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806
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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807
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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808
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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809
Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm
Published 2025-03-01“…The proposed KM-DBSCAN algorithm, which combines K-means and DBSCAN, is used for customer segmentation. …”
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810
Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm
Published 2015-01-01“…This paper presents a systematic design methodology for neural-network- (NN-) based secure communications in multiple time-delay chaotic (MTDC) systems with optimal H∞ performance and cryptography. On the basis of the Improved Genetic Algorithm (IGA), which is demonstrated to have better performance than that of a traditional GA, a model-based fuzzy controller is then synthesized to stabilize the MTDC systems. …”
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811
Panel defect detection algorithm based on improved Faster R-CNN
Published 2022-01-01“…Experimental results show that the accuracy and recognition rate of the optimized network model have been greatly improved.…”
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812
Multi-Target Vehicle Tracking Algorithm Based on Improved DeepSORT
Published 2024-10-01“…The optimized tracking algorithm using GIOU achieves effective improvements in tracking precision and accuracy. …”
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813
Loss reduction optimization strategies for medium and low-voltage distribution networks based on Intelligent optimization algorithms
Published 2024-11-01“…Methodology In order to reduce line losses, a loss optimization model for low and medium voltage distribution networks based on an improved Gray Wolf optimization support vector machine is proposed. …”
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814
Insulator Defect Detection Algorithm Based on Improved YOLOv11n
Published 2025-02-01Get full text
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815
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816
Configurational Comparison of a Binary Logic Transmission Unit Applicable to Agricultural Tractor Hydro-Mechanical Continuously Variable Transmissions and Its Wet Clutch Optimizati...
Published 2025-04-01“…The WOA improved the spread value in the GRNN algorithm, establishing a GRNN to predict the optimal range for wet clutch design values in BLT-U; the model validation showed an average correlation coefficient of 0.92 for speed curves and an average relative error of 5.58% for dynamic loads. …”
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817
Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems
Published 2025-03-01“…It efficiently navigates the solution space by balancing exploration and exploitation, leveraging puma-like intelligence to minimize both fuel costs and greenhouse gas emissions, including CO2, NOx, and SO2. The POO algorithm is tested on the IEEE 30-bus power system with six thermal units, delivering superior performance compared to advanced optimization algorithms such as the Osprey Optimization Algorithm (OOA), Aquila Optimizer (AO), Slim Mould Algorithm (SMA), Artificial Rabbit Optimization (ARO), and Coati optimization technique. …”
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818
Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm
Published 2025-02-01“…This research introduces a novel approach for optimal SOFC model identification using a differential evolutionary mutation Fennec fox algorithm (DEMFFA). …”
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819
Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU
Published 2025-07-01“…This study proposes a novel approach for continuous knee joint angle prediction based on surface electromyography (sEMG), integrating an Improved Zebra Optimization Algorithm (IZOA) with an attention-enhanced Gated Recurrent Unit (GRU) network. …”
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820
An Improved Shuffled Frog Leaping Algorithm for Electrical Resistivity Tomography Inversion
Published 2025-07-01“…Second, an adaptive movement operator is constructed to dynamically regulate the step size of the search, enhancing the guiding effect of the optimal solution. In synthetic data tests of three typical electrical models, including a high-resistivity anomaly with 5% random noise, a normal fault, and a reverse fault, the improved algorithm shows an approximately 2.3 times higher accuracy in boundary identification of the anomaly body compared to the least squares (LS) method and standard SFLA. …”
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