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

“…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”

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)

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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…A major challenge in bioprocess simulation is the lack of physical and chemical property databases for biochemicals. A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”

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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Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

Homomorphic binary tree. by Jianhua He (341366)

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

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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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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)

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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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