Implicit Neural Representation (INR) is an innovative approach for
repre...
Using machine learning to solve combinatorial optimization (CO) problems...
We present a hybrid sampling-surrogate approach for reducing the
computa...
Agile hardware development requires fast and accurate circuit quality
ev...
The modeling of optical wave propagation in optical fiber is a task of f...
Blood cell detection in microscopic images is an essential branch of med...
In this paper, a mechanistic data-driven approach is proposed to acceler...
Background and Objective: The new type of coronavirus is also called
COV...
Some important indoor localization applications, such as localizing a lo...
Generic object detection has been immensely promoted by the development ...
The goal of blind image deblurring is to recover sharp image from one in...
In this paper, we use CGAN (conditional generative adversarial network) ...
A long-standing vision of backscatter communications is to provide long-...
Nowadays unmanned aerial vehicles (UAVs) are being widely applied to a w...
As an emerging field, Automated Machine Learning (AutoML) aims to reduce...
In this paper, we present a novel upsampling framework to enhance the sp...
Accurate and fast extraction of the foreground object is one of the most...
In this work, we propose a new approach for efficient edge-preserving im...
Image deconvolution is still to be a challenging ill-posed problem for
r...