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Suggested Topics within your search.
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2541
A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning
Published 2025-05-01“…Then, the improved genetic algorithm is used to search for the global optimal feature subset further. …”
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2542
Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization Algorithm–Graph Neural Network Improvement
Published 2024-12-01“…The NOA algorithm efficiently searches the solution space to identify globally optimal solutions. …”
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2543
The Whale Optimization Algorithm and Markov Chain Monte Carlo-Based Approach for Optimizing Teacher Professional Development in Creative Learning Design with Technology
Published 2025-07-01“…In this article, we show that metaheuristic algorithms like the whale optimization algorithm, validated by a Markov chain technique like Markov Chain Monte Carlo, can help not only in areas like machine learning but also in fields without structured data, like creativity in technology-enhanced learning design. …”
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2544
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2545
The jellyfish algorithm: a new approach for enhancing coverage, reducing energy consumption, and extending network lifetime in underwater wireless sensor networks
Published 2025-08-01“…This study introduces a jellyfish algorithm that integrates both static and mobile sensor deployment strategies to address these challenges. …”
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2546
UAV Path Planning Using a State Transition Simulated Annealing Algorithm Based on Integrated Destruction Operators and Backward Learning Strategies
Published 2025-05-01“…DRSTASA is also successfully applied to UAV path planning, identifying optimal paths and proving the practical value of the algorithm.…”
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2548
HitShield: Enhanced Swap Eviction Scheme for Multi-Generational LRU
Published 2025-01-01“…The least recently used (LRU) algorithm is one of the page replacement algorithms used in the swap mechanism of the Linux kernel. …”
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2549
Multidimensional routing with the increased navigation accuracy with the maintenance of flight notifications of the flight vehicles
Published 2021-08-01“…While planning the routes it is also necessary to consider the interests of different interested groups, which are often opposite to one another. …”
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2550
Hyperparameter Optimization for Problem-Based Custom CNN Architectures Using a Smart Grid Search Method
Published 2025-01-01“…To classify the ripe and unripe pistachios with a small-sized and high test accuracy model, a two-layer CNN architecture’s hyperparameters were optimized with the proposed algorithm. The implementation of the proposed algorithm took 14 hours and 17 minutes, and the algorithm calculated 173 different CNN architectures with different parameters. …”
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2551
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2552
Ultra-Broadband, Polarization-Independent, and Wide-Angle Near-Perfect Absorber in Mid-Infrared With One-Dimensional Metasurface for Radiative Cooling
Published 2024-01-01“…Moreover, the average absorption for unpolarized light reaches 94.1%. Then, we also examine how each layer in the proposed absorber impacts the absorption characteristics. …”
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2553
Application of machine learning in the determination of rock brittleness for CO2 geosequestration
Published 2025-06-01“…The underground storage of carbon dioxide (CO2), also called CO2 geosequestration, represents one of the most promising options for reducing greenhouse gases in the atmosphere. …”
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2554
Identification of significant bio-markers from high-dimensional cancerous data employing a modified multi-objective meta-heuristic algorithm
Published 2022-09-01“…Moreover, a comparison of MOCJaya algorithm with other seventeen existing models, is also performed here. …”
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2555
State-of-the-Art Document Image Binarization Using a Decision Tree Ensemble Trained on Classic Local Binarization Algorithms and Image Statistics
Published 2025-07-01“…Although slower and more complex than global thresholding, local thresholding can better classify pixels in noisy areas of an image by considering not only the pixel’s value, but also its surrounding neighborhood. This study introduces a local thresholding method that uses the results of several local thresholding algorithms and other image statistics to train a decision tree ensemble. …”
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2556
An optimal control method considering degradation and economy based on mutual learn salp swarm algorithm of an islanded zero‐carbon DC microgrid
Published 2024-12-01“…This paper provides an optimal control method based on the mutual learn salp swarm algorithm (MLSSA) in real‐time, which aims to enhance the economy and extend the system's service life. …”
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2557
Optimal Adaptive Modeling of Hydrogen Polymer Electrolyte Membrane Fuel Cells Based on Meta-Heuristic Algorithms Considering the Membrane Aging Factor
Published 2025-04-01“…In this work, a number of state-of-the-art algorithms have been adapted to optimize the complex electrochemical PEMFC model. …”
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2558
Optimal Design of Steel Structures Using Innovative Black Widow Algorithm Hybridized with Greedy Sensitivity-Based Particle Swarm Optimization Technique
Published 2024-01-01“…In addition, a slight improvement in the weight of the evaluated structures was also reported. Compared to other hybrid algorithms, very competitive and promising results were obtained.…”
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2559
RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model
Published 2023-09-01“…The results indicate that the Snake Optimizer (SO) algorithm exhibits significant advantages and contributes to enhancing the effectiveness of the experimental process. …”
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2560
A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization
Published 2022-01-01“…In addition, filter optimization has been innovatively introduced in this paper, and the step size of each iteration of the model is selected through the filter optimization algorithm to achieve the better iterative effect. Numerical experiment results have shown that the model proposed in this paper can not only improve the accuracy of the solution without losing the accuracy but also speed up the convergence speed and improve the utilization of data.…”
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