Results 31 to 40 of about 5,327,863 (254)
Perbandingan algoritma Convolutional Neural Network (CNN) Dan Faster Region Based Convolutional Neural Network (Faster R-CNN) pada pengenalan bahasa isyarat [PDF]
Bahasa isyarat merupakan bahasa komunikasi non verbal yang penyampaiannya menggunakan simbol-simbol dari pergerakan anggota badan, seperti tangan, mimik wajah, gerak bibir, dan anggota badan lainnya.
Putra, Revaldo Pratama
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Optimal utilisation of the sun's freely available energy to generate electricity requires efficient predictive models of global solar radiation (GSR). These are necessary to provide solar energy companies an early and effective market entry to support ...
Sujan Ghimire +9 more
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The increased use of laptops and smartphones during the COVID-19 pandemic has led to an increase in the number of people suffering from nearsightedness. Convolutional Neural Network (CNN) is a class of deep learning that is capable of recognizing images ...
Pramadika Egamo, Arief Hermawan
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Case Studies on Neural Networks for Recognition in Biometric Identity Problem [PDF]
Hand-dorsa vein recognition using a convolutional neural network is presented. Our network contains five convolutional layers and three full connected layers, which have high recognition and more robust.
Zhengwen Shen +3 more
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Cardamom Grading Using Convolutional Neural Network(CNN)
<p><strong><em>Abstract— </em>Cardamom grading is a crucial task in the spice industry, and automating it can significantly reduce the cost and time associated with manual grading while improving accuracy.
Dr. Paulin Paul, Afueth Thomas
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The art of CNN template design [PDF]
A practical survey of the design rules of uncoupled and coupled linear CNN templates with binary inputs and outputs is given. The usage and the properties of the different classes of CNN templates are analyzed.
Zarándy, Ákos
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5
Convolutional neural network (CNN) is a very important method in deep learning, which solves many complex pattern recognition problems. Fruitful results have been achieved in image recognition, speech recognition, and natural language processing ...
Lijie Zhou, Weihai Yu
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Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor
We propose a convolutional neural network (CNN) based method, namely phase diversity convolutional neural network (PD-CNN) for the speed acceleration of phase-diversity wavefront sensing.
Yu Wu +3 more
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Convolutional neural networks: an overview and application in radiology
Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including radiology.
Rikiya Yamashita +3 more
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Research on epileptic EEG recognition based on improved residual networks of 1-D CNN and indRNN
Background Epilepsy is one of the diseases of the nervous system, which has a large population in the world. Traditional diagnosis methods mostly depended on the professional neurologists’ reading of the electroencephalogram (EEG), which was time ...
Mengnan Ma +4 more
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