Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI, Education, Times No ...

Abstract: Flood is a dangerous occurrence that results to loss of lives and properties, therefore adequate preventive measures and rules must be encouraged to reduce its menace. Different models have ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Abstract: This study aims to find out and forecast the gender of the target audience. The planned research would base its predictions on features of the eyes, lips, chin, and nose. The research makes ...

This is a PyTorch implementation of RGDAN: A random graph diffusion attention network for traffic prediction, as described in our paper: Jin Fan, Weng, Wenchao, Hao Tian, Huifeng Wu , Fu Zhu, Jia Wu ...

Data Science expert with desire to help companies advance by applying AI for process improvements. This publication provides an in-depth overview of various neural network layers, including their ...

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java. Artificial neural networks are a form of deep learning ...

This repository provides the implementation of the Virtual Node Graph Neural Network (VGNN) for full phonon prediction in materials science. VGNN is designed to address the challenges in phonon ...