convolutional neural network (cnn) artificial intelligence (ai) software Search Results


90
SoftMax Inc convolutional neural network
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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MyoLearn electromyography (emg) research
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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Kaggle Inc convolutional neural network cnn
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Convolutional Neural Network Cnn, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc convolutional neural networks cnn
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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90
VIDA Diagnostics convolutional neural network (cnn)
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Convolutional Neural Network (Cnn), supplied by VIDA Diagnostics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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Genovis Inc operator system
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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SR Research convolution neural network (cnn)
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Convolution Neural Network (Cnn), supplied by SR Research, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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Kampffmeyer Food Innovation convolutional neural network
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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Photonics Inc convolutional neural network cnn
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Convolutional Neural Network Cnn, supplied by Photonics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Teknik Hizmetler deteksi bentuk wajah menggunakan convolutional neural network
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Deteksi Bentuk Wajah Menggunakan Convolutional Neural Network, supplied by Teknik Hizmetler, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 86 stars, based on 1 article reviews
deteksi bentuk wajah menggunakan convolutional neural network - by Bioz Stars, 2026-09
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90
Pattern Recognition Systems (PRS) as deep convolutional neural networks (cnn)
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Deep Convolutional Neural Networks (Cnn), supplied by Pattern Recognition Systems (PRS) as, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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Powervision convolutional neural networks
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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Image Search Results


Comparison of the proposed  CNN  model with other works in terms of accuracy of the recognition rate.

Journal: PeerJ Computer Science

Article Title: An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT

doi: 10.7717/peerj-cs.381

Figure Lengend Snippet: Comparison of the proposed CNN model with other works in terms of accuracy of the recognition rate.

Article Snippet: Iris recognition using deep Convolutional Neural Network (CNN) as a feature extractor and fully connected neural network (FCNN), with the Softmax layer as a classifier, is presented.

Techniques: Comparison, Extraction, Isolation