3 citations · 6 across the 3 of their papers we have counts for
5 papers
P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving
Mohamed R. Elshamy, Heba M. Emara, Mohamed R. Shoaib +1
Distracted driving is a critical safety issue that leads to numerous fatalities and injuries worldwide. This study addresses the urgent need for efficient and real-time machine lea…
Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model
Mohamed R. Shoaib, Heba M. Emara, Jun Zhao +6
Diabetic retinopathy (DR) is a significant cause of vision impairment, emphasizing the critical need for early detection and timely intervention to avert visual deterioration. Diag…
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems
Mohamed R. Shoaib, Heba M. Emara, Jun Zhao
This survey paper explores the transformative influence of frontier AI, foundation models, and Large Language Models (LLMs) in the realm of Intelligent Transportation Systems (ITS)…
Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models
Mohamed R. Shoaib, Zefan Wang, Milad Taleby Ahvanooey +1
With the advent of sophisticated artificial intelligence (AI) technologies, the proliferation of deepfakes and the spread of m/disinformation have emerged as formidable threats to…
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions
Mohamed R. Shoaib, Heba M. Emara, Jun Zhao
Food security, a global concern, necessitates precise and diverse data-driven solutions to address its multifaceted challenges. This paper explores the integration of AI foundation…