A review of the deep learning methods for medical images super resolution problems
Y Li, B Sixou, F Peyrin - Irbm, 2021 - Elsevier
Super resolution problems are widely discussed in medical imaging. Spatial resolution of
medical images are not sufficient due to the constraints such as image acquisition time, low …
medical images are not sufficient due to the constraints such as image acquisition time, low …
Edge-oriented convolution block for real-time super resolution on mobile devices
Efficient and light-weight super resolution (SR) is highly demanded in practical applications.
However, most of the existing studies focusing on reducing the number of model parameters …
However, most of the existing studies focusing on reducing the number of model parameters …
Deep learning based ensemble approach for probabilistic wind power forecasting
Due to the economic and environmental benefits, wind power is becoming one of the more
promising supplements for electric power generation. However, the uncertainty exhibited in …
promising supplements for electric power generation. However, the uncertainty exhibited in …
[PDF][PDF] 深度卷积神经网络的发展及其在计算机视觉领域的应用
张顺， 龚怡宏， 王进军 - 计算机学报, 2019 - cjc.ict.ac.cn
2)(西安交通大学人工智能与机器人研究所, 陕西西安, 710049) 摘要作为类脑计算领域的一个
重要研究成果, 深度卷积神经网络已经广泛应用到计算机视觉, 自然语言处理, 信息检索 …
重要研究成果, 深度卷积神经网络已经广泛应用到计算机视觉, 自然语言处理, 信息检索 …
A survey on the new generation of deep learning in image processing
L Jiao, J Zhao - Ieee Access, 2019 - ieeexplore.ieee.org
During the past decade, deep learning is one of the essential breakthroughs made in
artificial intelligence. In particular, it has achieved great success in image processing …
artificial intelligence. In particular, it has achieved great success in image processing …
Multimedia super-resolution via deep learning: A survey
K Hayat - Digital Signal Processing, 2018 - Elsevier
The recent phenomenal interest in convolutional neural networks (CNNs) must have made it
inevitable for the super-resolution (SR) community to explore its potential. The response has …
inevitable for the super-resolution (SR) community to explore its potential. The response has …
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
This study conducts crack identification from real-world images containing complicated
disturbance information (cracks, handwriting scripts, and background) inside steel box …
disturbance information (cracks, handwriting scripts, and background) inside steel box …
Deep-learning-based probabilistic forecasting of electric vehicle charging load with a novel queuing model
X Zhang, KW Chan, H Li, H Wang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
With the emerging electric vehicle (EV) and fast charging technologies, EV load forecasting
has become a concern for planners and operators of EV charging stations (CSs). Due to the …
has become a concern for planners and operators of EV charging stations (CSs). Due to the …
[PDF][PDF] Arabic handwritten characters recognition using convolutional neural network
A El-Sawy, M Loey, H El-Bakry - WSEAS Transactions on …, 2017 - researchgate.net
Handwritten Arabic character recognition systems face several challenges, including the
unlimited variation in human handwriting and large public databases. In this work, we model …
unlimited variation in human handwriting and large public databases. In this work, we model …
Perception consistency ultrasound image super-resolution via self-supervised CycleGAN
Due to the limitations of sensors, the transmission medium, and the intrinsic properties of
ultrasound, the quality of ultrasound imaging is always not ideal, especially its low spatial …
ultrasound, the quality of ultrasound imaging is always not ideal, especially its low spatial …