S1 Data - by Zhengyu Xu (8550660)

Subjects:

The processed data and results of manuscript "A Unified Framework for Deciphering Cellular Dynamics byLearning and Interpreting Vector Field" by Ruihong Xu (19517776)

The training process and validation process of SE-MAConvLSTM and its variants on two datasets. by Rong Zhu (172093)

The steps of applying RF algorithm. by Zuzhen Ji (17593348)

Graphical representation of the dial data and its classification into epochs using our algorithm. by Eleftheria Pistolas (20313429)

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

Subjects:

The weight optimization process. by Guomei Cui (20721578)

“…However, the training data of this model comes from the simulation environment, which may deviate from the real game data. …”

Experimental software and hardware configuration and algorithm initialization parameter settings. by Lu Lin (201289)

Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

Comparison of homomorphic encryption algorithms. by JiaMing Wang (334865)

“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”

Overview of the proposed process with data processing, model development, model evaluation and explainability. by Md Amir Hamja (20495951)

The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

Subjects:

Performance Analysis of Super-resolution Algorithms. by Persiya J. (21743388)

Processing time for the different pipeline steps. by Marc Weitz (8131560)

“…<p>Application of the TiB algorithm is very quick even if the resampling of the acceleration data is taken into account. …”

Overall scheme of multi-source heterogeneous data processing. by Songsong Wang (8088293)

Variables tested in the ML algorithms. by Gilson Yuuji Shimizu (19837946)

“…</p><p>Conclusions</p><p>Among the machine learning algorithms evaluated, Random Forest showed the best generalization ability, both internally and externally. …”

Adjusting the process. by Hui Yang (91136)

Subjects:

Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

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Performance comparison of different adoption algorithms in XGBoost model. by Wenguang Li (6528113)

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K-SVD dictionary learning process. by Li Jiaqing (21212614)

Subjects: