Results 41 to 50 of about 5,285,158 (212)
Deep Learning: Basics and Convolutional Neural Networks (CNNs)
, 2023 Abstract Deep learning belongs to the broader family of machine learning methods and currently provides state-of-the-art performance in a variety of fields, including medical applications. Deep learning architectures can be categorized into different groups depending on their components. However, most of them share similar modules and
Vakalopoulou, Maria +4 more
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IEEE Access, 2019 Digital signal modulation recognition is meaningful for military application and civilian application. In the non-cooperation communication scenario, digital signal modulation recognition will help people identify communication target and have better ...
Ya Tu, Yun Lin
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Chinese Word Sense Disambiguation Based on Word translation and Part of speech
Journal of Harbin University of Science and Technology, 2020 For vocabulary ambiguity problem in Chinese, CNN (Convolution Neural Network) is adopted to determine true meaning of ambiguous vocabulary where word, part of speech and translation around its left and right adjacent words are used.
ZHANG Chunxiang +2 more
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Micromachines, 2021 The convolutional neural network (CNN) has been proven to have better performance in hyperspectral image (HSI) classification than traditional methods.
Chenming Li +5 more
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MostafaNabieh/Convolutional-Neural-Network-CNN: CNN Project
, 2020 Cnn project by Tensorflow ...
Mostafa Nabieh, Mostafa Nabieh (8597619)
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The art of CNN template design [PDF]
, 1999 A practical survey of the design rules of uncoupled and coupled linear CNN templates with binary inputs and outputs is given. The usage and the properties of the different classes of CNN templates are analyzed.
Zarándy, Ákos
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Dual-branch deep convolution neural network for polarimetric SAR image classification [PDF]
, 2017 Deep convolution neural network (CNN), which has prominent advantages in feature learning, can learn and extract features from data automatically. Existing polarimetric synthetic aperture radar (PolSAR) image classification methods based on CNN only ...
Gao, F. +17 more
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CNN 101: Interactive Visual Learning for Convolutional Neural Networks [PDF]
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020 The success of deep learning solving previously-thought hard problems has inspired many non-experts to learn and understand this exciting technology. However, it is often challenging for learners to take the first steps due to the complexity of deep learning models.
Zijie J. Wang +7 more
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Artificial neural network-statistical approach for PET volume analysis and classification [PDF]
, 2012 Copyright © 2012 The Authors. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.This ...
Maysam Abbod +12 more
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Convolutional neural networks: an overview and application in radiology
Insights into Imaging, 2018 Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including radiology.
Rikiya Yamashita +3 more
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