Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
DMCNN: Dual-domain multi-scale convolutional neural network for compression artifacts removal
JPEG is one of the most commonly used standards among lossy image compression
methods. However, JPEG compression inevitably introduces various kinds of artifacts …
methods. However, JPEG compression inevitably introduces various kinds of artifacts …
3dsrnet: Video super-resolution using 3d convolutional neural networks
In video super-resolution, the spatio-temporal coherence between, and among the frames
must be exploited appropriately for accurate prediction of the high resolution frames …
must be exploited appropriately for accurate prediction of the high resolution frames …
Simultaneous detection of defects in electrical connectors based on improved convolutional neural network
Electrical connector is a main channel for the transmission of signals and energy signals
within electrical device. Even a tiny skew and a missing pin of the electrical connector have …
within electrical device. Even a tiny skew and a missing pin of the electrical connector have …
An Adaptive Method for Multifault Diagnosis of Induction Motor Under Sharp Changing Speed and Load Condition
Y Qu, X Wang, X Zhang, S Huang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In industrial production, the speed of the motor is constantly changing due to production
demands. However, traditional diagnosis methods cannot guarantee their performance …
demands. However, traditional diagnosis methods cannot guarantee their performance …
AI-Native Air Interface
In this chapter, we explore the use of artificial intelligence (AI) as a key technology in the
next generation of mobile communications. AI can utilize the predictive power of data to …
next generation of mobile communications. AI can utilize the predictive power of data to …
Recognition of sign language from high resolution images using adaptive feature extraction and classification
F Csóka, J Polec, T Csóka, J Kačur - International Journal of …, 2019 - yadda.icm.edu.pl
A variety of algorithms allows gesture recognition in video sequences. Alleviating the need
for interpreters is of interest to hearing impaired people, since it allows a great degree of self …
for interpreters is of interest to hearing impaired people, since it allows a great degree of self …
Wavelet-supervision convolutional neural network for restoration of JPEG-LS near lossless compression image
Z Cao, T Zhang, M Liu, H Luo - 2021 IEEE Asia Conference on …, 2021 - ieeexplore.ieee.org
JPEG-LS near lossless compression algorithm is widely used in remote sensing image
compression. However, the run-length coding of the algorithm results in horizontal stripe …
compression. However, the run-length coding of the algorithm results in horizontal stripe …
Image super resolution using deep convolutional network
SD Meena, BL Sriya, J Gayathri, K Amrutha… - AIP Conference …, 2023 - pubs.aip.org
We presented single image super resolution in a technique which contains mapping
between images of low and high resolution from end-to-end. This deep CNN inputs image of …
between images of low and high resolution from end-to-end. This deep CNN inputs image of …
A Comprehensive Literature Review on Convolutional Neural Networks
EUR Mohammed, SW Mohammed - 2022 - scholar.uwindsor.ca
The fields of computer vision and image processing from their initial days have been dealing
with the problems of visual recognition. Convolutional Neural Networks (CNNs) in machine …
with the problems of visual recognition. Convolutional Neural Networks (CNNs) in machine …