Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

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)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

الموضوعات:

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

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)

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)

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)

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

"…By leveraging the binary GWO algorithm to optimize the feature selection </p><p dir="ltr">process and CNNs for image classification, the proposed approach reduces computational costs while increasing </p><p dir="ltr">classification accuracy. …"

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

Comparison of images before and after pre-processing: the original image (left) and after applying top-hat and bottom-hat filters (right). حسب Rinrada Tanthanathewin (18611171)

Particle tracking validation of the S8 algorithm. حسب Jennifer M. Knighten (15453354)

Elsafty_Code_1; Segment & Localize Using a Pen حسب Ahmed Elsafty (16943883)

Elsafty_Code_1; segment & localize using a pen حسب Ahmed Elsafty (16943883)

Lung cancer CT images before and after pre-processing. حسب Md. Sabbir Hossain (9958939)

Automatic Pre-Processing (APP). حسب Yuxiang Wu (748543)

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. حسب Olaide N. Oyelade (14047002)

الموضوعات:

The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

Dataset selection process and exclusion criteria. حسب Seung Seog Han (4782486)