Several loop patterns found in binary code. by Alba Pedro-Zapater (8600382)

Accuracy comparison between the proposed algorithm and existing algorithms. by Xin Li (51274)

The main workflow of the proposed algorithm. by Xin Li (51274)

Performance comparison based on feature groups and their combinations. by Rinrada Tanthanathewin (18611171)

Subjects:

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”

Illustrations of distances used as the 5^th to 7^th features (f5-f7) from a blob (orange circle) to the fovea. by Rinrada Tanthanathewin (18611171)

Subjects:

Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Examples of results from two different OCT images shown in the left and right columns. by Rinrada Tanthanathewin (18611171)

Subjects:

Illustration of Area of interest (left) and all HRF blobs used as EX-AN candidates (right). by Rinrada Tanthanathewin (18611171)

Subjects:

Examples of the fovea locations (stars) a typical case (left) and an abnormal case (right). by Rinrada Tanthanathewin (18611171)

Subjects:

ILM (pink line) and RPE (green line) layers in a normal OCT image. by Rinrada Tanthanathewin (18611171)

Subjects:

Examples of input (first column) and areas between ILM and RPE layers of ground truth (second column) and U-Net (third columns) and U-Net++ (fourth column) of four OCT cases. by Rinrada Tanthanathewin (18611171)

Subjects:

Illustrations of fovea detection procedure. The typical case (left) and the abnormal case (right) with ILMs (black lines), fitted lines (red lines), intersection points (blue verti... by Rinrada Tanthanathewin (18611171)

Subjects:

An example of a histogram of the normalized intensity of an OCT image. by Rinrada Tanthanathewin (18611171)

Subjects:

The flowchart depicting the overall procedures of the proposed work. by Rinrada Tanthanathewin (18611171)

Subjects:

Performance comparison of the area between ILM and RPE layers. by Rinrada Tanthanathewin (18611171)

Subjects:

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

Subjects:

An example of an OCT image of a DR case (left) and illustration of relevant parts (right): EX-AN blobs (yellow blobs) in the area of interest (a blue region), the ILM (a red line)... by Rinrada Tanthanathewin (18611171)

Subjects:

Illustration of the correct blobs (yellow), missing blobs (red), and irrelevant blobs (green). by Rinrada Tanthanathewin (18611171)

Subjects: