Title: Air Pollution Forecasting Using 1D CNN & Bi-GRU Deep Learning Models
Level : PhD
Subject/Domain: Computer Science / Artificial Intelligence / Environmental Data Science
Includes: IEEE Conference Paper Samples
Description: Download this IEEE conference paper sample presenting a deep learning-based approach for air pollution forecasting using 1D Convolutional Neural Networks (CNN) and Bidirectional GRU models. Ideal for researchers and scholars in AI, environmental science, and data analytics. Includes complete methodology, model comparison, dataset details (CPCB), and performance metrics like MSE, RMSE, and R²—perfect for academic reference and project development.
Availability: In Stock
