Abstract: Epilepsy is a prevalent neurological condition that poses a challenge to both patients and physicians. Prompt and accurate prediction of seizures improves patients’ quality of life and ...
Abstract: An approach to multiclass tumor classification using the K-Nearest Neighbour(KNN) classification model. The model is trained on the original dataset. We also performed various Statistical ...
The objective of this project is to create a small yet performant model that predicts the survival of passengers aboard the Titanic. Emphasis is placed on building an efficient model that balances ...
The system has successfully transitioned from a component prototype to a data-complete sign language recognition system. All 26 letters of the alphabet are now represented in the local and remote ...
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