Project UPWARDS has culminated in the manufacture, physical testing and validation of a disposal-ready Universal Canister System for used nuclear fuel and high-level radioactive waste from advanced ...

MNIST Digit Classifier - Deep Learning Web Application A handwritten digit classification system using Deep Neural Networks (DNN) deployed as an interactive Streamlit web application. Status: Ready to ...

Bangla Handwritten Character Recognition (BHCR) remains challenging due to complex alphabets, and handwriting variations. In this study, we present a comparative evaluation of three deep learning ...

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This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built using TensorFlow, trained in Google Colab, and ...

Abstract: Handwritten digit recognition plays a crucial role in applications like automated form processing and character recognition software. This study explores how well the traditional K-Nearest ...

Abstract: In the application area of postal automation to signature verification, the Handwritten digit recognition (HRD) is major challenging field in the era of pattern recognition and machine ...