Results 101 to 110 of about 5,285,158 (212)

Whole Image Average Pooling-Based Convolution Neural Network Approach For Brain Tumour Classification

Neural Computing & ApplicationsThe convolutional neural network has been proven to be a robust recognition and diagnosis model for modelling diseases.

core   +1 more source

VSCNN: Convolution Neural Network Accelerator with Vector Sparsity

, 2019
Hardware accelerator for convolution neural network (CNNs) enables real time applications of artificial intelligence technology. However, most of the accelerators only support dense CNN computations or suffers complex control to support fine grained ...
Kuo-Wei Chang, Chang, Tian-Sheuan, Chang, Kuo-Wei, Tian-Sheuan Chang   +3 more
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Application of Object Mask Detection Using the Convolution Neural Network (CNN)

, 2023
The spread of Coronavirus Disease (Covid-19) is still a serious problem that we are currently facing. Spread occurred very quickly through the face-to-face interaction process. The face-to-face interaction process that occurs both in public spaces and in
Yuhandri, Eka Naufaldi Novri, Musli Yanto   +2 more
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TI-CNN: Convolutional Neural Networks for Fake News Detection

CoRR, 2018
With the development of social networks, fake news for various commercial and political purposes has been appearing in large numbers and gotten widespread in the online world. With deceptive words, people can get infected by the fake news very easily and will share them without any fact-checking.
Yang Yang 0122, Lei Zheng 0001, Jiawei Zhang 0001, Qingcai Cui, Zhoujun Li 0001, Philip S. Yu   +5 more
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Self-Supervised Voltage Sag Source Identification Method Based on CNN

Energies, 2019
A self-supervised voltage sag source identification method based on a convolution neural network is proposed in this study. In addition, a self-supervised CNN (Convolutional Neural Networks) voltage sag source identification model is constructed on the ...
Danqi Li, Fei Mei, Chenyu Zhang, Haoyuan Sha, Jianyong Zheng   +4 more
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Application of Multi-Dimension Input Convolutional Neural Network in Fault Diagnosis of Rolling Bearings

Applied Sciences, 2019
Aiming at the problem of poor robustness of the intelligent diagnostic model, a fault diagnosis model of rolling bearing based on a multi-dimension input convolutional neural network (MDI-CNN) is proposed. Compared with the traditional convolution neural
Tao Zan, Hui Wang, Min Wang, Zhihao Liu, Xiangsheng Gao   +4 more
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Bankruptcy Analysis Using Images and Convolutional Neural Networks (CNN)

The marketing departments of financial institutions strive to craft products and services that cater to the diverse needs of businesses of all sizes. However, it is evident upon analysis that larger corporations often receive a more substantial portion of available funds. This disparity arises from the relative ease of assessing the risk of default and
Luiz Wanderley Tavares, José Afonso Mazzon, Francisco Carlos Paletta, Fábio Meletti de Oliveira Barros   +3 more
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Can Convolution Neural Network (CNN) Triumph in Ear Recognition of Uniform Illumination Invariant? [PDF]

, 2018
Current deep convolution neural network (CNN) has shown to achieve superior performance on a number of computer vision tasks such as image recognition, classification and object detection.
Syed Mohd Zahid Syed Zainal Ariffin, Ali Abd Almisreb, Raseeda Hamzah, Hamzah, Raseeda, Almisreb, Ali Abd, Din, N. Md, Nursuriati Jamil, Zainal Ariffin, Syed Mohd Zahid Syed, N. Md Din, Jamil, Nursuriati   +9 more
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Klasifikasi Image Sequence Hasil Pengelasan Menggunakan Metode Convolution Neural Network (Cnn) Untuk Non Distructive Test [PDF]

, 2017
Visual inspection adalah salah satu metode Non Distructive Test (NDT) yang sangat penting untuk proses uji hasil kualitas pengelasan, visual inspection dilakukan sebagai seleksi tahap awal sebelum hasil pengelasan dilanjutkan ke proses Distructive Test ...
Khumaidi, Agus
core  

An intrusion detection model based on convolution neural network for Internet of vehicles

Dianxin kexue
In order to improve the accuracy of detecting the cyber-attacks in Internet of vehicles, hyper-parameter optimization convolution neural network-based ensemble Intrusion detection system (CNES) was proposed.
ZHANG Rui
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