GitHub1y
A CNN based algorithm with 91% accuracy for brain tumor detection.
Collaboration is essential: Building a CNN-based algorithm for brain tumor detection requires a team effort, involving experts in different fields, such as radiology, computer science, and machine ...
GitHub3y
A CNN Based Algorithm for Shadowing Effect Removal for Target Detection Using FMCW radar
In this paper, a novel solution for the radar shadowing problem is proposed. The solution is based on a CNN model that takes as input the spectrograms obtained after a Short Time Fourier Transform ...
GitHub1y
Brain Tumor Classification App using CNN algorithm
The application is embedded with a custom Convolution Neural Network model build using keras and Tensorflow. The model achieved an accuracy of 0.82 in the classification of various types of brain ...
GitHub1y
ramtiin/Watermarking-Algorithm-Analysis-on-BART-Model-using-CNN-Dataset
In this Colab notebook, my objective is to explore the domain of watermarking algorithms as they apply to Conditional Text Generation (CTG) with a focus on the BART model and the CNN dataset. This ...
GitHub4y
Model-agnostic meta-learning framework adapted to CNN text classifier
This repository contains an implementation of Model-Agnostic Meta-Learning Algorithm on a CNN Text Classifier. Each sub-task is defined to be a binary classification task. Meta-learning is aimed at ...