T2-Flair model training process using all data. by Fengning Liang (20927493)

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General model performance for different algorithms. by Binghan Xue (21253235)

Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

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

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Structure and the optimization technique of the algorithms adopted in the study. by M. A. Habib (16839161)

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1d-MSCNN + GRU model process. by Jianpeng Zhang (528185)

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Flow of data processing and preparation. by Xuan Wang (55634)

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Proposing sequence genetic distances with a local greedy algorithm when genomic sampling data is available for a transmission pair. by Hannah Waddel (21520023)

Data results under different time series processing techniques. by Jiayuan Wang (3765376)

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Algorithms runtime comparison. by Meilin Zhu (688698)

“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”

Data and code. by Hao Cao (2248066)

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Four algorithms construct feature face time and recognition time on different datasets. by Lu Lin (201289)

The curve of PSO-IFAH algorithm inversion results under the overburden layer model. by Zhengyu Xu (8550660)

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Event-driven data flow processing. by Yixian Wen (12201388)

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Flow diagram of the empirical calibration algorithm. by R. W. M. A. Madushani (6555692)

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Data processing. by Jay Chandra (19703931)

Flowchart of the new algorithm. by Jinyu Wang (381467)

“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”

The training process of each classification model. by Dinghong Mu (14204200)

Subjects: “…proposed optimization algorithm…”

Supporting data for "Toward Self-Improving and Sustainable Large Language Models" by Qintong Li (11173806)

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Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

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