Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

The CCCP algorithm of EQSVR based on ClipDCD. by Aiman Tahir (21485064)

Phases of proposed algorithm. by Muhammad Abdullah (3357692)

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Data propagation algorithm stages. by Fazia Akhtar (21453122)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

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

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The overview of the ML algorithms’ flowchart. by Yasemin Ayaz Atalan (21989402)

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”

Training algorithm flow. by Xing Chen (140292)

“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…<p>Strategies to improve prediction reliability involve changes in the curation of the training data as well as the training procedure. The training data should ideally be collected from a range of diverse species and for each be based on different experimental techniques that support a training protein’s localisation (e.g. reporters, mass spectrometry, coexpression, interactions). …”

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Algorithm for layout stage. by Fazia Akhtar (21453122)

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Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

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Evaluation metrics of the models constructed by each algorithm. by Xiaoyan Yang (259084)

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Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

One-step trajectory prediction results for the X-coordinate: (a) one-step prediction error for the basic single algorithm; (b) one-step prediction error for each single algorithm i... by Lin Li (28817)

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One-step trajectory prediction results for the Z-coordinate: (a) one-step prediction error for the basic single algorithm; (b) one-step prediction error for each single algorithm i... by Lin Li (28817)

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One-step trajectory prediction results for the Y-coordinate: (a) one-step prediction error for the basic single algorithm; (b) one-step prediction error for each single algorithm i... by Lin Li (28817)

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