Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

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Proposed GA-ML algorithms pseudocode. by Ankur Kumar (1357440)

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Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

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

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

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”

Performance metrics of GA-ML models. by Ankur Kumar (1357440)

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AUROC curve of default ML classifiers. by Ankur Kumar (1357440)

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Confusion matrix of default ML classifiers. by Ankur Kumar (1357440)

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Performance metrics of default ML classifiers. by Ankur Kumar (1357440)

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Performance metrics of proposed GA-ML classifiers. by Ankur Kumar (1357440)

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AUROC curve of proposed hybrid GA-ML models. by Ankur Kumar (1357440)

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Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. by Miray Unlu Yazici (14792680)

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Data scaling visualization. by Ankur Kumar (1357440)

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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. …”

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Comparison of proposed model with default ML classifiers and recent existing studies. by Ankur Kumar (1357440)

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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. …”

A data processing scheme for spatially explicit soil spectral calibration. by José L. Safanelli (20552654)

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