Supplementary file 1_Sentinel-1 (S1) time series alignment method for rapeseed fields mapping.docx by Saeideh Maleki (10123648)

“…Next, we proposed an S1 time series alignment method to improve classification accuracy across sites and years by accounting for temporal shifts caused by differences in agricultural practices and climatic conditions between sites.…”

Comparison of accuracy of feature classification. by Jianpeng Zhang (528185)

Comparison of error rates in feature classification. by Jianpeng Zhang (528185)

Linear interpolation dimension expansion algorithm flowchart. by Yuhang Zhang (3144870)

Detection algorithm table for modeling the phonetic characteristics of Yue opera. by Yuhang Zhang (3144870)

The algorithm flow for modeling the pitch contours of Yue opera phonemes. by Yuhang Zhang (3144870)

Overall accuracy of human vs. pyAKI generated labels by classification method. by Christian Porschen (12967868)

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Values misclassified by the CART algorithm. by Anne Wojtanowski (17507992)

“…A multivariate logistic regression model and a classification and regression tree algorithm were used to evaluate the HRV variables’ ability to detect “BIS^TM≥60”. …”

Integrating Landsat, Sentinel-2 and Sentinel-1 time series for mapping intermediate crops by Kassandra Jensch (21515106)

Supplementary file 1_A combined approach to lithology identification using reinforcement learning and transformer algorithms.pdf by Xiongwei Li (5374982)

Data Sheet 1_Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope.pdf by Ankit Patnala (20386422)

The number of in-situ soil samples in 8 cropland classes in CONUS. Crop classification is from the USDA CDL during the calendar year of sample collection. by James R. Kellner (7846706)

Gender classification. by W. El Atifi (21625438)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

Staging of AKI according to KDIGO criteria. by Christian Porschen (12967868)

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Comparison between pyAKI’s generated labels and the labels generated by the MIMIC-code implementation of the KDIGO criteria. by Christian Porschen (12967868)

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pyAKI data model. by Christian Porschen (12967868)

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Workflow of validating the pyAKI pipeline. by Christian Porschen (12967868)

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Accuracy of human-assigned and pyAKI-generated labels across different acute kidney injury stages at each point in time. by Christian Porschen (12967868)

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IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”