Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. by Emmanuel Ndongue Esseme (22615091)

The specific architecture of the FcaNet-cycleGan style transfer method. by Xiaojun Wang (50332)

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Comparison of planning results for different uncertainty quantification methods. by Tianhe Sun (21145341)

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

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Detailed characterization of the dataset. by Rodrigo Gutiérrez Benítez (19746443)

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Performances of text augmentation approaches. by Rodrigo Gutiérrez Benítez (19746443)

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Hyperparameters for each classification model. by Rodrigo Gutiérrez Benítez (19746443)

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SentiGAN configuration parameters. by Rodrigo Gutiérrez Benítez (19746443)

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Results for the baseline. by Rodrigo Gutiérrez Benítez (19746443)

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Characterization of datasets. by Rodrigo Gutiérrez Benítez (19746443)

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EDA augmentation parameters. by Rodrigo Gutiérrez Benítez (19746443)

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Method of work. by Rodrigo Gutiérrez Benítez (19746443)

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Flow of the experiments. by Rodrigo Gutiérrez Benítez (19746443)

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<i>F1-score</i> results [40]. by Rodrigo Gutiérrez Benítez (19746443)

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Distribution of articles by augmentation method. by Rodrigo Gutiérrez Benítez (19746443)

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A comparison of with other published cancer prediction algorithms. by Ruiyu Zhan (21602031)

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Data and Scripts for 'Application of Multidimensional Cognitive Ability Tests in Computer-Assisted Diagnosis of Attention-Deficit/Hyperactivity Disorder and Its Subtypes in Children: Based on A Genetic Algorithm Optimized Back-Propagation Neural Network Predictive Model' by Wang (20310746)

G R code algorithm. by R. Sakthivel (2589547)

“…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …”

Minimal data set. by Peiwen Zhang (1863202)

Coprime array with interpolated array elements. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”