Detected Hotspots in the Lithography process using Vision Transformers, Convolution Neural Networks and Artificial Neural Networks, and compared the results obtained using ANNs & CNNs
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Updated
Mar 28, 2023 - Jupyter Notebook
Detected Hotspots in the Lithography process using Vision Transformers, Convolution Neural Networks and Artificial Neural Networks, and compared the results obtained using ANNs & CNNs
Hotspot detection using Weighted Kernel Density Estimation for Korean COVID-19 trajectory data
Our entry for GIS Cup 2016
Space Apps COVID-19 Challenge
Utilized machine learning algorithms (K-Means, Birch, Gaussian Mixture Model, Hierarchical Clustering, Mean-Shift Clustering) to identify hotspots. Validation with Silhouette Score and Heatmap. Hierarchical Clustering scored 0.943, demonstrating exceptional performance.
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