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.
Title: Under water image enhancement using deep learning
Level : PhD
Subject/Domain: Computer Science / Artificial Intelligence / Image Processing
Includes: PhD Thesis Samples
Description: Download this PhD thesis sample focusing on underwater image enhancement using deep learning techniques. Ideal for scholars in Computer Science, Artificial Intelligence, and Image Processing, this sample includes a complete research methodology, model architecture (CNN & ResNet), evaluation metrics, and real-world datasets like UIEB. A valuable reference for thesis writing and advanced AI research.
