Diabetic retinopathy is a kind of ophthalmic disease induced by diabetes, which is a chronic
progressive disease affecting vision and even causing blindness. The features of diabetic …

This article present a highly efficient and performance-enhanced Softmax Function (SF)
designed for a deep neural network accelerator. The SF is an essential component of deep …

Developing image classification modules in embedded systems is a complex task due to the
limited resources available. In this brief, a multi-class image classifier using HOG feature …

Neural Network models most often exploit the SoftMax function in the classification stage for
computing probabilities through exponentiation and division operations. To reduce the …

Object detection is one of the most challenging problems in computer vision. Detecting an
object from an image or video finds applications in different fields like security, medical …

Diabetic retinopathy is one of the most serious causes of blindness, clinically, doctors'
judgment of lesion grade is time-consuming and laborious, which may lead to early …

This paper proposes simplified classification technique to reduce the complexity of softmax-
based classification in the convolutional neural network (CNN) inference engine/accelerator …

The rapid growth of network scale leads to the increasingly prominent network security
problems. Intrusion detection is an important method to resist complex and growing network …

This paper proposes implementation-friendly and dynamically reconfigurable VLSI-
algorithm for convolutional neural network (CNN) inference engine. Based on this algorithm …

The synchronous double-frame exposure (S-DFE), also called frame-straddling, has been
widely applied for commercial video-based velocity measurements to provide high-speed …