Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

“…In this research, Utilizing Phase-aware Composite Deep Neural Network Optimized with Coati Optimized Algorithm for Brain Tumor Identification Based on Magnetic resonance imaging (PACDNN-COA-BTI-MRI) is proposed. …”

Fitness curves for each algorithm. by Minan Tang (20389941)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Whole Pattern fitting of powder X-ray diffraction by Expectation Maximum algorithm by Bin CAO (17718678)

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

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Decoding results. by Sam Hall-McMaster (10343795)

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Parameter configuration for ChildEmoNet algorithm implementation. by Zhang Shanshan (22272359)

Illustration of the recursive objective space exploration process implemented by the ROSE algorithm. by Ihab Hashem (21156806)

Fitness curves of the 6 test functions. by Peiwen Zhang (1863202)

Flow chart of implementation of metaheuristic algorithm-PI control BLDC motor. by Fizza Shafique (19996292)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Training set fitting of the ISSA-BP model. by Peiwen Zhang (1863202)

Data fitting and inferences of time-dependent parameters for BC using the VOCs-INN algorithm. by Wenxuan Li (2566450)

BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation. by Sarmad Sohaib (21273402)

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RF Algorithm error rate of the model. by Halit Tutar (20678455)

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”

Model surface plots in MARS algorithm. by Halit Tutar (20678455)

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”

Risk element category diagram. by Yao Hu (3479972)

Characteristic chart of algorithm efficiency. by Wang Xiaoqian (10502222)

The details of the results related to the evaluated algorithms. by Mohammadreza Namdar (22439057)