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

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

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

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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)

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

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

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

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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)

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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)

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

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Illustration of a black shadow marker under the EX-AN. by Rinrada Tanthanathewin (18611171)

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Processes in the bagged tree ensemble classification in our experiment. by Rinrada Tanthanathewin (18611171)

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An overview of the U-Net++ architecture for the area of interest selection. by Rinrada Tanthanathewin (18611171)

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A model depicting the left (l), middle(m), and right(r) rectangular regions under the blob. by Rinrada Tanthanathewin (18611171)

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Comparison of our EX-AN segmentation method against comparative methods: BT-WS and AT-ST, and performance comparison of our used bagged tree ensemble classifier method against othe... by Rinrada Tanthanathewin (18611171)

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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)

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The flowchart of the proposed algorithm. by Muhammad Ayyaz Sheikh (18610943)

“…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …”

Event-driven data flow processing. by Yixian Wen (12201388)

“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”

An illustration and comparison of the fitness convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using... by Olaide N. Oyelade (14047002)

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Medium-scale dataset comparative analysis using fitness and cost values for population size 50 and 100. by Olaide N. Oyelade (14047002)

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