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. …”

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

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Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”

Flowchart of the subspace fitting algorithm for interpolated coprime arrays. by Chuanxi Xing (20141665)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”

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

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

The fitness of ANEAT model evolution. by Wenbing Shi (5806160)

“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”

The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”

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

Improved BP network algorithm flow. by Wang Xiaoqian (10502222)

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

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

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. …”

Outcomes of the MARS algorithm in predicting the fresh herbage yield (FHY) of the SSG hybrid. by Halit Tutar (20678455)

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

Comparative fitting results of different models on the LH train set. by Wu Huiyong (21743545)

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Comparative fitting results of different models on the SY test set. by Wu Huiyong (21743545)

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Comparative fitting results of different models on the SY train set. by Wu Huiyong (21743545)

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