The accuracy of all employed learning algorithms. by Quan Shao (20148209)

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …”

Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

Flowchart of the algorithm. by Xingan Fu (21594713)

S1 Data - by Zhengyu Xu (8550660)

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The data used in the figures. by Yonghui Zhang (279832)

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The algorithm of the applied models. by Elif Tuçe Bal (21367965)

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Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

Comparisons of the measured and simulated data of phenological stages (day of year) using the different algorithms, calibration data, and evaluation data. by Yonghui Zhang (279832)

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Firefly optimization algorithm flowchart. by Zhengyu Xu (8550660)

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The framework of the three algorithms for estimating crop model parameters in this work. by Yonghui Zhang (279832)

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Comparison of inversion results for measured data. by Zhengyu Xu (8550660)

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The contrast curve of the algorithm convergence characteristics. by Zhengyu Xu (8550660)

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Particle swarm optimization algorithm flowchart. by Zhengyu Xu (8550660)

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Classification accuracy of feature set 2 and feature set 3 in each algorithm. by Quan Shao (20148209)

Comparisons of the measured and simulated data of phenological stages (day of year) using the different calibration algorithms. by Yonghui Zhang (279832)

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List of symbols used in this study. by Yonghui Zhang (279832)

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Improved PSO-IFA hybrid optimization algorithm flowchart. by Zhengyu Xu (8550660)

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Algorithm and its parameter settings. by Lin Li (28817)

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IDRAS algorithm outline. by Ron Teichner (21492434)