RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for future careers.Employers are ...

Abstract: Coffee production farms rely on accurate price predictions to plan their production and financial activities. Managing supply chain risk entails the forecasting of coffee price patterns and ...

This Git repo contains simplified source code for creating and testing our combined graph neural network and recurrent neural network used for decoding the surface code.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Abstract: The project aims to create deep learning models for thunderstorm estimation over India using global weather model data. Due to rapid formation and localized nature, thunderstorms present a ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...