Design and analysis of a deep learning ensemble framework model for the detection of COVID-19 and pneumonia using large-scale CT scan and X-ray image datasets

Fractal memory and deep learning: A new paradigm for stock market prediction (vol 33, 100916, 2026)

PoPEA: an energy and latency-optimized proof-of-processing framework for trusted end–edge–cloud healthcare analytics

Designing Low-Latency Terahertz Communication Systems for High-Capacity 6G Networks

Energy-efficient and secure routing strategy for opportunistic data transmission in WSNs

Eggplant Leaf Disease Classification Using Deep Learning and a Robust Real-Time System Based on YOLOv8 and Streamlit