State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
Ten challenges in advancing machine learning technologies toward 6G
As the 5G standard is being completed, academia and industry have begun to consider a
more developed cellular communication technique, 6G, which is expected to achieve high …
more developed cellular communication technique, 6G, which is expected to achieve high …
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional …
Unmanned aerial vehicle (UAV)-borne hyperspectral systems can acquire hyperspectral
imagery with a high spatial resolution (which we refer to here as H 2 imagery). As a result of …
imagery with a high spatial resolution (which we refer to here as H 2 imagery). As a result of …
The deep learning vision for heterogeneous network traffic control: Proposal, challenges, and future perspective
Recently, deep learning, an emerging machine learning technique, is garnering a lot of
research attention in several computer science areas. However, to the best of our …
research attention in several computer science areas. However, to the best of our …
Routing or computing? The paradigm shift towards intelligent computer network packet transmission based on deep learning
Recent years, Software Defined Routers (SDRs)(programmable routers) have emerged as a
viable solution to provide a cost-effective packet processing platform with easy extensibility …
viable solution to provide a cost-effective packet processing platform with easy extensibility …
Chinese character recognition: history, status and prospects
R Dai, C Liu, B Xiao - Frontiers of Computer Science in China, 2007 - Springer
Chinese character recognition (CCR) is an important branch of pattern recognition. It was
considered as an extremely difficult problem due to the very large number of categories …
considered as an extremely difficult problem due to the very large number of categories …
Dual cross-entropy loss for small-sample fine-grained vehicle classification
Fine-grained vehicle classification is a challenging topic in computer vision due to the high
intraclass variance and low interclass variance. Recently, considerable progress has been …
intraclass variance and low interclass variance. Recently, considerable progress has been …
Fine-grained vehicle classification with channel max pooling modified CNNs
Convolutional neural networks (CNNs) have recently shown excellent performance on the
task of fine-grained vehicle classification, where the motivation is to identify the fine-grained …
task of fine-grained vehicle classification, where the motivation is to identify the fine-grained …
[PDF][PDF] Handwritten English character recognition using neural network
A Pal, D Singh - International Journal of Computer Science & …, 2010 - csjournals.com
In this paper, work has been performed to recognize Handwritten English Character using a
multilayer perceptron with one hidden layer. The feature extracted from the handwritten …
multilayer perceptron with one hidden layer. The feature extracted from the handwritten …
Handwritten character recognition using wavelet energy and extreme learning machine
BP Chacko, VR Vimal Krishnan, G Raju… - International Journal of …, 2012 - Springer
This paper deals with the recognition of handwritten Malayalam character using wavelet
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …