Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب 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. …"

Effect of image resolution on the performance of the binary classifier algorithm in predicting occurrence of a bird target(s) on an individual image using the validation imagery se... حسب Tsung-Wei Ke (18297551)

Detection result. حسب Hailang Li (12557543)

الموضوعات:

Effect of training regions on the performance of the Mask R-CNN detection algorithm based on the refined annotation bounding boxes. حسب Tsung-Wei Ke (18297551)

Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes. حسب Tsung-Wei Ke (18297551)

Effectiveness of image augmentation operations. حسب Hailang Li (12557543)

الموضوعات:

Detection performances and validation losses. حسب Hailang Li (12557543)

الموضوعات:

Confusion metrics using LR-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…Nonetheless, the purview of propaganda detection transcends textual data alone. Deep learning algorithms like Artificial Neural Networks (ANN) offer the capability to manage multimodal data, incorporating text, images, audio, and video, thereby considering not only the content itself but also its presentation and contextual nuances during dissemination.…"

Confusion metrics using MNB-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…Nonetheless, the purview of propaganda detection transcends textual data alone. Deep learning algorithms like Artificial Neural Networks (ANN) offer the capability to manage multimodal data, incorporating text, images, audio, and video, thereby considering not only the content itself but also its presentation and contextual nuances during dissemination.…"

Confusion metrics using DT-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…Nonetheless, the purview of propaganda detection transcends textual data alone. Deep learning algorithms like Artificial Neural Networks (ANN) offer the capability to manage multimodal data, incorporating text, images, audio, and video, thereby considering not only the content itself but also its presentation and contextual nuances during dissemination.…"

Confusion metrics using SVM-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…Nonetheless, the purview of propaganda detection transcends textual data alone. Deep learning algorithms like Artificial Neural Networks (ANN) offer the capability to manage multimodal data, incorporating text, images, audio, and video, thereby considering not only the content itself but also its presentation and contextual nuances during dissemination.…"

Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set. حسب Tsung-Wei Ke (18297551)

Urgent versus nonurgent binary classification performance. حسب Kyung Won Kwon (18150416)

Number of backbones ensembled and their detection precisions. حسب Hailang Li (12557543)

الموضوعات:

Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes. حسب Tsung-Wei Ke (18297551)

<b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b> حسب Marly G F Costa (19812192)

Detection results of different methods over the rail defect datasets. حسب Hailang Li (12557543)

الموضوعات:

Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. حسب Tehnan I. A. Mohamed (16846175)

Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf حسب Sai Sakunthala Guddanti (17739363)

Melanoma Detection by Means of Multiple Instance Learning حسب Annabella Astorino (11644324)

"…We present an application to melanoma detection of a multiple instance learning (MIL) approach, whose objective, in the binary case, is to discriminate between positive and negative sets of items. …"