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https://www.mdpi.com/2073-8994/15/4/849
A Convolutional Recurrent Neural-Network-Based Machine Learning for Scene Text Recognition...
Optical character recognition (OCR) is the process of acquiring text and layout information through analysis and recognition of text data image files.
recurrent neural networkmachine learningbasedscene
https://www.mdpi.com/1424-8220/20/20/5957
Privacy-Preserved Fall Detection Method with Three-Dimensional Convolutional Neural Network Using...
Due to the rapid aging of the population in recent years, the number of elderly people in hospitals and nursing homes is increasing, which results in a...
fall detectionthree dimensionalprivacypreservedmethod
https://cslikai.cn/project/AFRCNN-Enh/
Speech Enhancement using an Asynchronous Fully Recurrent Convolutional Neural Network
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https://deepai.org/publication/crowd-counting-with-segmentation-attention-convolutional-neural-network
Crowd counting with segmentation attention convolutional neural network | DeepAI
04/15/22 - Deep learning occupies an undisputed dominance in crowd counting. In this paper, we propose a novel convolutional neural network (...
convolutional neural networkcrowd countingsegmentationattention
https://www.coursera.org/courses?query=convolutional%20neural%20network&page=396
Top Convolutional Neural Network Courses - Learn Convolutional Neural Network Online
Convolutional Neural Network courses from top universities and industry leaders. Learn Convolutional Neural Network online with courses like .
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https://www.mdpi.com/2072-4292/14/7/1640
A High-Performance Convolutional Neural Network for Ground-Level Ozone Estimation in Eastern China
Having a high-quality historical air pollutant dataset is critical for environmental and epidemiological research. In this study, a novel deep learning model...
convolutional neural networkground level ozonehigh performance
https://www.mdpi.com/1424-8220/22/22/8872
Analysis of the Application Efficiency of TensorFlow and PyTorch in Convolutional Neural Network
In this paper, we present an analysis of important aspects that arise during the development of neural network applications. Our aim is to determine if the...
analysisapplicationefficiencytensorflowpytorch
https://uthmet.edu.my/hands-on-practice-for-developing-tuning-convolutional-neural-network-cnn-model-using-tensorflow-anaconda-google-colab-platform/
Hands-on Practice for Developing & Tuning Convolutional Neural Network (CNN) Model using TensorFlow...
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https://www.ojp.gov/library/publications/accelerating-convolutional-neural-network-structured-gaussian-scale-mixture
Accelerating Convolutional Neural Network via Structured Gaussian Scale Mixture Models: A Joint...
This publication offers a hybrid network compression technique for exploiting the prior knowledge of network parameters by Gaussian scale mixture (GSM) models.
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https://hess.copernicus.org/articles/28/4407/2024/
HESS - Assessing groundwater level modelling using a 1-D convolutional neural network (CNN):...
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https://deepai.org/publication/dilated-fully-convolutional-neural-network-for-depth-estimation-from-a-single-image
Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image | DeepAI
03/12/21 - Depth prediction plays a key role in understanding a 3D scene. Several techniques have been developed throughout the years, among ...
convolutional neural networkdepth estimationdilatedfully
https://biic.ee.nthu.edu.tw/research.php?id=62
Modeling Perceivers Neural-Responses Using Lobe-Dependent Convolutional Neural Network to Improve...
Behavioral Informatics & Interaction Computation Lab (BIIC Lab) strives to provide an open, fun, and exciting research environment for researchers/students to...
modelingneuralresponsesusinglobe
https://easychair.org/publications/preprint/Rh1Q
Brain Tumor Classification Using Convolutional Neural Network and Deep Transfer Learning Approach...
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https://www.mdpi.com/2073-8994/13/4/703
Convolutional Neural Network for Crowd Counting on Metro Platforms
Owing to the increased use of urban rail transit, the flow of passengers on metro platforms tends to increase sharply during peak periods. Monitoring passenger...
convolutional neural networkcrowd countingmetroplatforms
https://pubmed.ncbi.nlm.nih.gov/35794205/
A deep convolutional neural network for Kawasaki disease diagnosis
Kawasaki disease (KD), the most common cause of acquired heart disease in children, can be easily missed as it shares clinical findings with other pediatric...
convolutional neural networkkawasaki diseasedeepdiagnosis
https://easychair.org/publications/keyword/1t9S
Keyword: Convolutional neural network architecture
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