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18 results with keyword: 'automated vehicle recognition with deep convolutional neural networks'

Automated Vehicle Recognition with Deep Convolutional Neural Networks

The proposed approach takes advantage of recent advances in deep convolutional neural networks (DCNN), a machine learning technique that quickly and accurately learns unique

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2021
Deep Learning for Image Recognition

Neural networks, deep learning, convolutional neural networks, image recognition, Cifar-10, RMSPROP, normalized

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2021
A Review on Artificial Neural Network and Sign Languages Detection Using Deep CNN

Keywords: Artificial Neural Networks, Deep Convolutional Neural Networks, Hand gestures, Sign language recognition... All

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2022
Wireless Sensor Network for Intelligent Transport

By adding the main component method to reducing the size of the input matrix into the neural network, we have succeeded in retaining signal significant information and even reducing

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2022
Deep Learning for Image Recognition

logistic regression, non-linear hypothesis, gradient descent, neural networks, deep learning, convolutional neural networks, object recognition, image recognition,

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2021
The need for and importance of problem based learning in teaching and learning in TVET

This paper discusses briefly the concept, overview, characteristics, the needs and effectiveness of problem-based learning (PBL) approach in teaching and learning in

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2020
Break the network innovation gridlock

If you need help aligning your business needs with technology initiatives, you can start with our Network Transformation Experience Workshop, which enables you to define a network

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2021
Traffic sign recognition with deep convolutional neural networks

Konvolucijsko nevronsko mreˇ zo smo uˇ cili prepoznavanja prometnih znakov na German traffic sign recognition base (GTSRB) [24] (slika 4.1) ter na Bel- gium Traffic Sign Dataset

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2021
Combination of Multiple Acoustic Models with Multi-scale Features for Myanmar Speech Recognition

Keywords: acoustic modelling; deep convolutional neural networks; multi-scale features; Myanmar speech.. recognition;

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2020
Collaborative Edge Computing in Mobile Internet of Things

Chapter 6 DEEP CONVOLUTIONAL NEURAL NETWORKS FOR AUTOMATED DIAGNOSIS OF ALZHEIMER’S DISEASE AND MILD COGNITIVE

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2020
Impact of Earnings per Share on Market Price of Share with Special Reference to Selected Companies Listed on NSE

Various deep learning architectures such as deep neural networks, convolutional deep neural networks, deep belief networks and recurrent neural networks have been

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2020
Extracting Trait Data from Digitized Herbarium Specimens Using Deep Convolutional Networks

• Taxon and trait recognition from digitized herbarium specimens using deep convolutional neural networks.. (Younis

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2021
High wintertime particulate matter pollution over an offshore island (Kinmen) off southeastern China: an overview

emissions from ceramic industries in the northern part of Fujian Province ’ s coastal area, specifically Jinjiang City, likely constituted the key components of the observed

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2020
Deep Convolutional Neural Networks for Real Time Object Recognition

Deep Convolutional Neural Networks for Real Time Object Recognition.. 1 Jaiswal Shruti R, 2

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Rotating Machinery Diagnostics Using Deep Learning on Orbit Plot Images

Keywords: Deep Learning, Convolutional Neural Networks, Rotating Machinery, Orbit Analysis, Image Pattern Recognition, Machine Learning..

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2021
Strengthening Character Education Through School Culture

The curriculum used is same as curriculum of Junior High school under The Ministry of Education and Culture but only added with some subjects namely Aqidah Akhlak (

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2021
Compacting ConvNets for end to end Learning

Classification with Deep Convolutional Neural Networks, NIPS, 2012..

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2022
Deep Learning as a Frontier of Machine Learning: A Review

Some popular deep learning architectures like Convolutional Neural Networks (CNN), Deep Neural Networks (DNN), Deep Belief Network (DBN) and Recurrent Neural Networks

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2020

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