Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics [PDF]
PeerJ Computer Science, 2022 Background In deep learning the most significant breakthrough in the field of image recognition, object detection language processing was done by Convolutional Neural Network (CNN).
Aswathy Ravikumar +4 more
doaj +2 more sources
Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN
Energies, 2022 The large fluctuations in charging loads of electric vehicles (EVs) make short-term forecasting challenging. In order to improve the short-term load forecasting performance of EV charging load, a corresponding model-based multi-channel convolutional ...
Jiaan Zhang, Chenyu Liu, Leijiao Ge
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RL-CNN: Reinforcement Learning-designed Convolutional Neural Network for Urban Traffic Flow Estimation [PDF]
, 2021 Accurate prediction of urban traffic flows brings enormous advantages to big cities. Therefore, many urban traffic flow predictors have been developed in recent years.
Susana Sargento +9 more
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Perbandingan algoritma Convolutional Neural Network (CNN) Dan Faster Region Based Convolutional Neural Network (Faster R-CNN) pada pengenalan bahasa isyarat [PDF]
, 2022 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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Cardamom Grading Using Convolutional Neural Network(CNN)
, 2023 <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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Jurnal Saintekom, 2023 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
doaj +1 more source
Case Studies on Neural Networks for Recognition in Biometric Identity Problem [PDF]
International Journal Bioautomation, 2021 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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CNN-LSTM neural network architecture.
, 2021 CNN-LSTM neural network architecture.
Hyun-Koo Kang (11307727) +5 more
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Supplemental material: Imaging methods and convolutional neural network (CNN) models
, 2022 Imaging methods and convolutional neural network (CNN) modelsTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Felmingham, C (via Mendeley Data) +1 more
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White Paper on Setting up CNN (Convolutional Neural Network) for Character Recognition
, 2021 This is a whitepaper on using packages such as Keras to create a Convolutional Neural Network (CNN) for the purpose of using for Handwritten Character ...
Prasad Nimantha Madusanka
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