FPGA-based accelerators are increasingly popular across a broad range of applications,
because they offer massive parallelism, high energy efficiency, and great flexibility for …

We propose a joint source and channel coding (JSCC) technique for wireless image
transmission that does not rely on explicit codes for either compression or error correction; …

Semantic segmentation of robotic instruments is an important problem for the robot-assisted
surgery. One of the main challenges is to correctly detect an instrument's position for the …

This article presents a new convolutional neural network (CNN) topology using wavelet
kernels to detect and discriminate single or multiple partial discharge (PD) locations in high …

Accurate detection and localization for angiodysplasia lesions is an important problem in
early stage diagnostics of gastrointestinal bleeding and anemia. Gold standard for …

Convolutional Neural Network (CNN) has attained high accuracy and it has been widely
employed in image recognition tasks. In recent times, deep learning-based modern …

Automatic classification of sound commands is becoming increasingly important, especially
for embedded and mobile devices. Many of these devices contain both microphones and …

In this paper, a software comparative analysis of two neural network models is presented,
namely, Convolutional Neural Network (CNN), and Long Short Term Memory (LSTM) neural …

The continuing advancement of the neural networks based techniques led to their
exploitation in many applications, such as computer vision and the natural language …

Convolutional Neural Network (CNN) as a typical deep learning model has been widely
used to solve many complex problems. However, the computation-intensive convolutional …