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1761
Fleet management algorithm for enhancing environmental friendliness of maritime delivery
Published 2025-04-01“…The study proposes an improved algorithm for constructing maritime cargo delivery routes using a genetic algorithm with a speed optimization step. …”
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1762
A Novel Method for News Recommendation on Websites Using the Clustered-Vectors Optimization Algorithm
Published 2025-01-01“…The proposed algorithm aims to optimize the clustering of news titles to improve the performance of news recommendations. …”
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1763
Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm
Published 2025-02-01Get full text
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1764
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1765
An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm
Published 2025-03-01“…The parameters were estimated by conducting experimental power measurements and comparing the results with the real ones predicted by the equations model using the root mean square error. The Multiverse Optimization Algorithm demonstrates superior performance compared to other algorithms presented in previous works for this case. …”
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1766
Emergency Scheduling Optimization Simulation of Cloud Computing Platform Network Public Resources
Published 2021-01-01“…An emergency scheduling method of cloud computing platform network public resources based on genetic algorithm is proposed. With emergency public resource scheduling time cost and transportation cost minimizing target, initial population by Hamming distance constraints, emergency scheduling model, and the corresponding objective function improvement as the fitness function, the genetic algorithm to individual selection and crossover and mutation probability were optimized and complete the public emergency resources scheduling. …”
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1767
Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large
Published 2025-03-01“…In order to address these issues, this paper proposed a food image classification algorithm based on improved MobileNetV3-Large. Firstly, building upon the pre-trained MobileNetV3-Large model, the PReLu activation function and NAM attention mechanism were introduced to enhance the model's focus on key features by capturing non-local dependencies in images. …”
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1768
DV-DETR: Improved UAV Aerial Small Target Detection Algorithm Based on RT-DETR
Published 2024-11-01Get full text
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1769
Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions
Published 2025-04-01“…Abstract Open-pit coal mining often employs loosening blasting, with perforation blasting accounting for a significant portion of the coal seam mining costs. For coal of the same quality, the price of lump coal is much higher than that of crushed coal. …”
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1770
Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer
Published 2025-02-01“…While the precision improves, the FPS value also increases by 109, which is superior to the traditional model in terms of precision and real-time processing. …”
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1771
Prediction of compressive strength of fiber-reinforced concrete containing silica (SiO2) based on metaheuristic optimization algorithms and machine learning techniques
Published 2025-06-01“…So, this study integrates the ANFIS (adaptive neuro-fuzzy inference system) and ELM (extreme learning machine) machine learning models with three optimization algorithms, i.e., WCA (water cycle algorithm), PSO (particle swarm optimization), and GWO (grey wolf optimizer) to precisely estimate the CS of fiber-reinforced concrete (FRC) containing SiO2. …”
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1772
Trajectory Similarity Algorithm Based on DTW and Trajectory Point Compression
Published 2024-12-01Get full text
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1773
Determination of Optimal Parameters of the Ground Filling During the Laying of Power Cable Lines
Published 2025-04-01“…To solve the optimization problem, a genetic algorithm implemented in the MS Excel environment was used. …”
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1774
Improved Harmony Search Algorithm for Truck Scheduling Problem in Multiple-Door Cross-Docking Systems
Published 2018-01-01“…To solve the problem that is regarded as a mixed integer linear programming (MILP) model, three metaheuristics, namely, harmony search (HS), improved harmony search (IHS), and genetic algorithm (GA), are proposed. …”
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1775
An improved multi-step prediction control algorithm for urban rail hybrid energy storage system
Published 2022-05-01“…For the traditional PI controlled urban rail hybrid energy storage system, there are problems such as cumbersome parameter adjustment and lag in response to train start and stop conditions. An improved multi-step prediction control algorithm for urban rail hybrid energy storage system was proposed in this paper. …”
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1776
Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms
Published 2025-07-01“…These evolutionary algorithms simulate natural processes like selection, mutation, and crossover to optimize flood predictions and management strategies, improving adaptability in dynamic environments. …”
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1777
Storage Location Assignment in Emergency Reserve Warehouses: A Multi-Objective Optimization Algorithm
Published 2025-05-01“…Utilizing an advanced non-dominated genetic algorithm (NSGA-II) with an elite strategy, the study conducts simulations and analyses of these models under various scenarios. …”
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1778
Study on College English Online Teaching Model in Mixed Context Based on Genetic Algorithm and Neural Network Algorithm
Published 2021-01-01“…The algorithm avoids subjective errors and improves the accuracy and reliability of the evaluation results, and a comprehensive evaluation model is constructed. …”
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1779
Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems
Published 2025-02-01Get full text
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1780
A novel methodological approach to SaaS churn prediction using whale optimization algorithm.
Published 2025-01-01“…This study introduces a novel approach to SaaS churn prediction using the Whale Optimization Algorithm (WOA) for feature selection. Results show that WOA-reduced datasets improve processing efficiency and outperform full-variable datasets in predictive performance. …”
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