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Optimization of New Energy Vehicle Industry Structure Based on Optimization Link Prediction Similarity Algorithm and CGE
Published 2025-01-01“…In light of the growing global concerns over energy and climate change, new energy vehicles are confronted with both opportunities and challenges posed by industrial structural transformation. To foster the optimization of the new energy vehicle industry structure while considering environmental impact, this paper first uses an improved link prediction algorithm to construct an industrial structure optimization model. …”
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Credit card fraud Detection using Feature select method and improved machine learning algorithm
Published 2025-06-01“…The SVM classification model then performs the final classification, with its hyperparameters optimized through the particle swarm optimization (PSO) technique. …”
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326
Air Quality Prediction Using Neural Networks with Improved Particle Swarm Optimization
Published 2025-07-01“…To address this challenge, we propose a novel prediction model that integrates an adaptive-weight particle swarm optimization (AWPSO) algorithm with a back propagation neural network (BPNN). …”
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Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm
Published 2025-01-01“…In this paper, we proposed a multi-strategy probabilistic discrete differential evolution algorithm (MSPDDE) for finding the optimal values of the rendering parameters of Cesium 3DTiles model, which increases the search space and improves the convergence speed by introducing multiple mutation strategies. …”
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Congestion Management Using an Optimized Deep Convolution Neural Network in Deregulated Environment
Published 2023-08-01“…This analysis incorporates restrictions such as line loads, bus voltage influence, generator, line limits, etc. The most important results for the test system indicating convergence profile, congestion cost, and change in real-power and voltage magnitude are obtained by the simulation in MATLAB, and on the basis of the obtained simulation outcomes, it is evident that the proposed Improved Lion Algorithm optimized Deep Convolution Neural Network displays phenomenal computation performance in minimizing congestion losses at minimum congestion costs. …”
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Multi-Project Staff Scheduling Optimization Considering Employee Welfare in Construction Projects
Published 2025-05-01Subjects: Get full text
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Integrating Machine Learning Algorithms: A Hybrid Model for Lung Cancer Outcome Improvement
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Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model
Published 2024-11-01“…Incorporating an improved Sine Algorithm (MSA) into the forecasting model for this nonlinear problem significantly improves the position update strategy of the Dung Beetle Optimization Algorithm (DBO), which tends to be overly random and prone to local optima. …”
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Optimization of Torque Models for Radial Meshing Nutation Magnetic Gears Based on the Genetic Algorithm
Published 2023-10-01“…The genetic algorithm is used to optimize the structural parameters of the nutation magnetic gear, and the effectiveness of the optimization results is verified. …”
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Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model
Published 2022-01-01“…The genetic algorithm is improved by immune cloning algorithm, and the CGA-BP neural network model is established to obtain the global optimal solution. …”
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Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System
Published 2024-01-01“…The loss functions in the model are optimized by using the Improved Pelican Optimization Algorithm (IPOA). …”
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Impact of Optimization Algorithm Choice on Nonlinear Global Model for Photovoltaic Energy Generation Forecasting
Published 2024-06-01“…The article explores the relevance of choosing the optimization algorithm to obtain accurate parameter estimates in photovoltaic (PV) systems, with the aim of improving the energy efficiency of solar energy. …”
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Video Refereeing Model of Soccer Match Based on Fuzzy Clustering and Cuckoo Optimization Algorithm
Published 2024-01-01“…To address this issue, the research utilizes sinusoidal mapping and the simplex method to enhance the cuckoo algorithm. Additionally, the optimization accuracy is improved through sinusoidal adaptive discovery probability. …”
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