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Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis
In the dynamic and ever-changing domain of Unmanned Aerial Vehicles (UAVs), the utmost importance lies in guaranteeing resilient and lucid security measures.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Empowering Healthcare through Privacy-Preserving MRI Analysis
Integrating DL within the Federated Learning (FL) framework has yielded a methodology that offers precise and dependable diagnostics for detecting brain tumors.
An Explainable AI Framework for Artificial Intelligence of Medical Things
The healthcare industry has been revolutionized by the convergence of Artificial Intelligence of Medical Things (AIoMT), allowing advanced data-driven solutions to improve healthcare systems.
Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification
In this research, we have curated a novel dataset and developed a framework that uses Deep Transfer Learning to perform a multi-classification of tumors in the brain MRI images.
