1. Introduction to High Performance Computing Architectures
2. High Performance Computing: Use Cases, API’s and Applications
3. Parallelization Techniques
4. High Performance Computing for Machine Learning
5. Implementation of Parallel Computing with Artificial Intelligence in Big Data Analytics
6. D-UNet: Deep Learning Architecture for Colon Polyp Segmentation in Endoscopic Images
7. Early-Stage Plant Disease Detection using YOLOv8
8. Landslide Detection Using Custom Deep Convolutional Neural Network
9. GPU in Big Data: An Acceleration Technique
10. Use of NLP Techniques and High-Performance Computing for Automated Knowledge-based Ontology Construction of Saffron Crop
11. Implementing High-performance Computing with Artificial Intelligence in Healthcare Systems
12. BLMP2CE: Design of a Dual-Bioinspired Low-Complexity Data Mining Engine with Parallel Processing for Automatic Cluster Analysis via Ensemble Learning Operations
13. Deep Learning and Edge Computing with HPC
14. Usage of IoT, High Performance Computing, Machine and Deep Learning in a Human Activity Recognition (HAR) System: Challenges and Opportunities
15. Artificial Intelligence in Industry: An Approach to Automation
16. Usage of IoT, Artificial Intelligence and Machine Learning with HPC: Issues, Challenges, and a Case Study
17. Advancing High-Performance Computing for AI in the Era of Large-Scale Models: A Research Roadmap