Results 41 to 50 of about 191,916 (149)

AAGCN: a graph convolutional neural network with adaptive feature and topology learning

Scientific Reports
In recent years, there has been a growing prevalence of deep learning in various domains, owing to advancements in information technology and computing power.
Bin Wang, Bodong Cai, Jinfang Sheng, Wenzhe Jiao   +3 more
doaj   +1 more source

An Embedded Inference Framework for Convolutional Neural Network Applications

IEEE Access, 2019
With the rapid development of deep convolutional neural networks, more and more computer vision tasks have been well resolved. These convolutional neural network solutions rely heavily on the performance of the hardware. However, due to privacy issues or
Sheng Bi, Yingjie Zhang, Min Dong, Huaqing Min   +3 more
doaj   +1 more source

A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Scientific Reports
The research introduced a new method for land-use classification by merging deep convolutional neural networks with a modified variant of a metaheuristic optimization technique.
Qiongbing Xiong, Xuecheng Wu, Cizhen Yu, Hasan Hosseinzadeh   +3 more
doaj   +1 more source

Deep Learning as Applied in SAR Target Recognition and Terrain Classification

Leida xuebao, 2017
Deep learning such as deep neural networks has revolutionized the computer vision area. Deep learning-based algorithms have surpassed conventional algorithms in terms of performance by a significant margin. This paper reviews our works in the application
Xu Feng, Wang Haipeng, Jin Yaqiu
doaj   +1 more source

Hybrid multi-objective evolutionary model compression with convolutional neural networks

Results in Engineering
Deep learning has been utilized in the fields of image processing, natural language processing and speech recognition. For improving the structure of deep learning, how to compress Convolutional Neural Networks has become a major focus topic.
Shuhan Zhang, Yanjie Gao
doaj   +1 more source

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

IEEE Access
In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing.
Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb   +2 more
doaj   +1 more source

Pansharpening by Convolutional Neural Networks

Remote Sensing, 2016
A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for super-resolution to the pansharpening problem.
Giuseppe Masi, Davide Cozzolino, Luisa Verdoliva, Giuseppe Scarpa   +3 more
doaj   +1 more source

Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks [PDF]

, 2006
Alexander Gepperth
openalex   +1 more source

Convolutional Neural Network Committees for Handwritten Character Classification [PDF]

, 2011
Dan Claudiu Cireşan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber   +3 more
openalex   +1 more source

Automated Edge Detection Using Convolutional Neural Network [PDF]

, 2013
A. Mohamed, A. Yarub, A. Mohamed
openalex   +1 more source