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

“…<p>Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.</p>…”

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

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

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

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Improve algorithm settings. by Hui Zhao (7395)

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The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

Flowchart of algorithm principles. by Wenjuan Zhou (115285)

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Results of the Ablation Experiment. by Yu Jie Guang (22184340)

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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. …”

Effects of different algorithms on feature extraction of jamming signals. by Hui Zhao (7395)

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Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms by Kelechi Amamba (21022064)

Subjects: “…Modelling and simulation…”

The GTO algorithm process. by Yulin Li (36434)

“…<div><p>In the context of global economic austerity in the post epidemic era, housing, as one of the basic human needs, has become particularly important for accurate prediction of house prices. BP neural network is widely used in prediction tasks, but their performance is easily affected by weights and biases, and thus metaheuristic algorithms are needed to optimize the network parameters. …”

Quantitative results of three algorithms. by Zahoor Jan (20077515)

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IOU values of four algorithms. by Hong Li (20183)

(A) Model 1: Crossover of genes screened by SVM-RFE and Degree algorithms. (B) Model 2: Crossover of genes screened by SVM-RFE and Betweenness algorithms. (C-D) Model 1 and Model 2... by Qingcong Zheng (11169094)

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Risk element category diagram. by Yao Hu (3479972)

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

Choices on individual test tasks were not explained by model-free perseveration. by Sam Hall-McMaster (10343795)

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RE for partial flow prediction results of single and dual water level models based on the GA-BP algorithm. by Xiying Wang (4859998)

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Partial comparison of flow prediction results between single and dual water level models with the GA-BP algorithm. by Xiying Wang (4859998)

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