Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”

datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf by Jan Tönshoff (10192709)

Steps in the extraction of 14 coordinates from the CT slices for the curved MPR. by Linus Woitke (22783534)

An example of a type of percent cover of preferred ranges of vegetation index texture values type feature. by Elise Varaela Voltura (17592996)

Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf by Muhammad Awais (263096)

“…To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …”

Latent state estimations for simulated data. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 18. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 13. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 7. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 15. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 21. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 5. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 9. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 19. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 3. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 2. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 16. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 17. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 6. by Samiul Alam (18563323)