Power efficiency for license plate recognition (LPR) under unconstrained scenarios is a
crucial factor in many edge-based real-world applications, eg, autonomous vehicles whose …

Human brains can depict images much easier than texts and images convey a lot more
information that is the reason why images are used as branding and advertisements. Digital …

This project aims to identify liver tumors using deep learning techniques. The core of our
approach is a sophisticated neural network trained on real CT scans of patients with liver …

The compact and accurate way of representing numbers in a wide range is the advantage of
floating-point (FP) representation and computation. The floating-point digital signal …

Abstract Field Programmable Gate Arrays (FPGAs) have emerged as powerful hardware
accelerators for deep learning applications due to their reconfigurable nature and parallel …