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A Short-Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS-ELM Algorithm
Published 2021-01-01“…This approach can replace existing knowledge with new information on a continuous basis. The variance of model uncertainty is computed in the first stage by using a learning algorithm to provide predictable PV power estimations. …”
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A sampling-based winner determination model and algorithm for logistics service procurement auctions under double uncertainty
Published 2025-04-01“…With the objective of minimizing total cost, a new two-stage stochastic winner determination model under double uncertainty is constructed, which is further transformed into mixed-integer linear programming model by using an improved sample average approximation algorithm based on the chi-square test and the Latin hypercube sampling method. …”
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Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm
Published 2025-03-01“…Therefore, with the aim of optimizing the monitoring scheme, this study introduces a spatial deduction model for the stress distribution of the overall structure using a machine learning algorithm. …”
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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits.
Published 2021-01-01“…Using the E-B algorithm, we were able to increase the prediction accuracy by improving the values of R2, MAE, and RMSE by 0.1, 0.24 kg.ha-1, and 0.96 kg.ha-1, respectively. …”
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Short-Term Wind Power Forecast Based on CNN&LSTM-GRU Model Integrated with CEEMD-SE Algorithm
Published 2024-02-01“…In order to further improve the accuracy of short-term wind power forecast, a CNN & LSTM-GRU based short-term wind power prediction model using CEEMD-SE algorithm is proposed. …”
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An Algorithm of Train Operation Environment Recognition Based onEmbedded GPU Platform
Published 2021-01-01“…The instance segmentation network MaskRCNN based on deep learning is improved and trained, and the model is accelerated based on TensorRT. …”
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Improved firefly algorithm–extended Kalman filter–least-square support-vector machine voltage sag monitoring and classification method based on edge computing
Published 2022-03-01“…Extract characteristic quantities such as average value, duration of sag, minimum sag dispersion characteristics, number of sag phases, and flow direction of disturbance energy. As a model training data set, the least-square support-vector machine method optimized based on the improved firefly algorithm is used to create a multi-level classification model of voltage sag source to realize the classification of voltage sag sources. …”
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Adaptive multilevel attention deeplabv3+ with heuristic based frame work for semantic segmentation of aerial images using improved golden jackal optimization algorithm
Published 2024-12-01“…To addressing the issue in deeplab series, an adaptive multi-level attention based deeplabv3+ (AMLA-Deeplabv3+) with improved golden jackal optimization algorithm is implemented in this paper. …”
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An efficient approach for mathematical modeling and parameter estimation of PEM fuel based on Young’s double-slit experiment algorithm
Published 2025-08-01“…Abstract This paper introduces a novel optimization algorithm, Young’s double-slit experiment algorithm (YSDE), for accurately estimating the unknown parameters of Proton Exchange Membrane Fuel Cell (PEMFC) models. …”
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DPF-Bi-RRT<sup>*</sup>: An Improved Path Planning Algorithm for Complex 3D Environments With Adaptive Sampling and Dual Potential Field Strategy
Published 2025-01-01“…The dual potential field model lead to more flexible method in collision avoidance and can improve the precision of collision avoidance, especially in cluttered dynamical spaces. …”
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1339
Improving crop rotation classification using a random forest model incorporating spatial heterogeneity
Published 2024-01-01Get full text
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1340
Target detection technology of coal mine wheeled robot combining improved CNN and self attention mechanism
Published 2025-03-01Get full text
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