Deep learning-driven superresolution (SR) outperforms traditional techni...
Previous gait phase detection as convolutional neural network (CNN) base...
This paper presents a convolutional neural network based foot motion tra...
Keyword spotting has gained popularity as a natural way to interact with...
Following the success of the natural language processing, the transforme...
Deep learning based superresolution achieves high-quality results, but i...
In-memory computing is becoming a popular architecture for deep-learning...
Stride length estimation using inertial measurement unit (IMU) sensors i...
Hardware accelerator for convolution neural network (CNNs) enables real ...
Hardware acceleration for dilated and transposed convolution enables rea...
Gait phase detection with convolution neural network provides accurate
c...
There is a great interest in many approaches towards blockchain in provi...
With the popularity of the deep neural network (DNN), hardware accelerat...
Memory bandwidth has become the real-time bottleneck of current deep lea...
Computing-in-memory (CIM) has attracted significant attentions in recent...
Semantic outdoor scene understanding based on 3D LiDAR point clouds is a...
Spiking neural networks (SNNs) that enable low-power design on edge devi...
The large amount of memory bandwidth between local buffer and external D...
Spiking neural networks (SNNs), which are inspired by the human brain, h...
Increasingly, convolution neural network (CNN) based super resolution mo...
Hardware accelerators for convolution neural networks (CNNs) enable real...
Asymmetric nonlinear weight update is considered as one of the major
obs...