Deep joint source-channel coding for wireless image transmission
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; …
transmission that does not rely on explicit codes for either compression or error correction; …
Programming and synthesis for software-defined FPGA acceleration: status and future prospects
FPGA-based accelerators are increasingly popular across a broad range of applications,
because they offer massive parallelism, high energy efficiency, and great flexibility for …
because they offer massive parallelism, high energy efficiency, and great flexibility for …
Automatic instrument segmentation in robot-assisted surgery using deep learning
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 …
surgery. One of the main challenges is to correctly detect an instrument's position for the …
Hardware implementations of computer-generated holography: a review
Computer-generated holography (CGH) is a technique to generate holographic interference
patterns. One of the major issues related to computer hologram generation is the massive …
patterns. One of the major issues related to computer hologram generation is the massive …
Wavelet kernel-based convolutional neural network for localization of partial discharge sources within a power apparatus
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 …
kernels to detect and discriminate single or multiple partial discharge (PD) locations in high …
Angiodysplasia detection and localization using deep convolutional neural networks
Accurate detection and localization for angiodysplasia lesions is an important problem in
early stage diagnostics of gastrointestinal bleeding and anemia. Gold standard for …
early stage diagnostics of gastrointestinal bleeding and anemia. Gold standard for …
Edge compression: An integrated framework for compressive imaging processing on cavs
Machine vision is the key to the successful deployment of many Advanced Driver Assistant
System (ADAS)/Automated Driving System (ADS) functions, which require accurate high …
System (ADAS)/Automated Driving System (ADS) functions, which require accurate high …
Power efficient tiny yolo cnn using reduced hardware resources based on booth multiplier and wallace tree adders
FUD Farrukh, C Zhang, Y Jiang, Z Zhang… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
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 …
employed in image recognition tasks. In recent times, deep learning-based modern …
Deep learning approaches for understanding simple speech commands
RA Solovyev, M Vakhrushev… - 2020 IEEE 40th …, 2020 - ieeexplore.ieee.org
Automatic classification of sound commands is becoming increasingly important, especially
for embedded and mobile devices. Many of these devices contain both microphones and …
for embedded and mobile devices. Many of these devices contain both microphones and …
A comparison of quantized convolutional and lstm recurrent neural network models using mnist
O Kaziha, T Bonny - 2019 International conference on electrical …, 2019 - ieeexplore.ieee.org
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 …
namely, Convolutional Neural Network (CNN), and Long Short Term Memory (LSTM) neural …