Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”

Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

Impact of breath-detection algorithms on main MBW outcomes. by Marc-Alexander Oestreich (13961375)

Influence of the number of runs and iterations on the TF shape and quality. by Ali-Kemal Aydin (10968731)

S1 File - by Yuh-Chin T. Huang (17867207)

“…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”

S1 Dataset - by Yuh-Chin T. Huang (17867207)

“…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”

Reconstruction errors and their variability due to stochastic steps in the algorithms. by Hanane Omichessan (4991552)

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

A comparison of the original images with the filtered images with the uniform window. by Abeer Aljohani (18497914)

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Confusion matrix values for different size of test samples and different choice of random states. by Abeer Aljohani (18497914)

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Comparison of the results obtained with the proposed method with other methods in literature. by Abeer Aljohani (18497914)

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A comparison of the spectral component of normal and abnormal images combined with the uniform window. by Abeer Aljohani (18497914)

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A visual representation of the windows used in the study. by Abeer Aljohani (18497914)

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The spectral component of normal peoples and Covid-19 infected peoples. by Abeer Aljohani (18497914)

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A comparison of the original images with the filtered images with the binomial window. by Abeer Aljohani (18497914)

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The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. by Abeer Aljohani (18497914)

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Graphical illustration of a spectral approach for training support vector machine. by Abeer Aljohani (18497914)

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Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. by Abeer Aljohani (18497914)

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Confusion matrix representation of classification outcomes. by Abeer Aljohani (18497914)

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The parametric study of the confusion matrix values for different proportion of test samples vs number of nodes from the spectral space. by Abeer Aljohani (18497914)

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