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Convolutional Neural Network
Convolutional neural network is one of the most important networks in deep learning. Different from common artificial neural network, the main...
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Data Privacy Protection Model Based on Graph Convolutional Neural Network
In order to solve the problem of leakage of user data privacy in social network scenarios, the author proposes a data privacy protection model based...
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An optimized convolutional neural network for speech enhancement
Speech enhancement is an important property in today’s world because most applications use voice recognition as an important feature for performing...
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Convolutional neural network incorporating misclassification information for image recognition
In this paper, we introduce misclassification information for the improved training of convolutional neural network classifiers (CNNCs) for image...
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Diagnosis of Parkinson's Disease Using Convolutional Neural Network-Based Audio Signal Processing on FPGA
This study proposes a new method for diagnosing Parkinson's disease using audio signals and FPGA-based convolutional neural networks. The proposed...
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Persian Traffic Sign Classification Using Convolutional Neural Network and Transfer Learning
Nowadays, most car accidents occur due to driver fatigue, distraction, and sleepiness, and generally due to human error. Therefore, the importance of...
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Weld Defect Monitoring Based on Two-Stage Convolutional Neural Network
Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet, resulting in the formation of defects. Rapidly develo**...
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RCLSTMNet: A Residual-convolutional-LSTM Neural Network for Forecasting Cutterhead Torque in Shield Machine
During tunneling process, it is of critical importance to dynamically adjust operation parameters of shield machine due to changes of geological...
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Residual Convolutional Neural Network-Based Dysarthric Speech Recognition
People with dysarthric speech face problems communicating with others and voice-based smart devices. This paper presents the development of a spatial...
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Sign language detection using convolutional neural network
Sign language recognition is an important social issue to be addressed which can benefit the deaf and hard of hearing community by providing easier...
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Automated identification of steel weld defects, a convolutional neural network improved machine learning approach
This paper proposes a machine-learning-based methodology to automatically classify different types of steel weld defects, including lack of the...
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Gemstone Classification Using Deep Convolutional Neural Network
Gemstones are precious minerals or rocks that can be cut, faceted, and polished to be used in jewelery. Gemstones are valuable commodities in today’s...
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Enhanced Convolutional Neural Network for Image Processing in 6G Smart City Environments
Within the Beyond 6th Generation (B6G) network, this research presents an efficient Convolutional Neural Network (CNN) architecture specifically...
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Reducing the Overfitting in Convolutional Neural Network using Nature-Inspired Algorithm: A Novel Hybrid Approach
Convolutional neural network (CNN) is one of the well-known deep learning algorithms that uses convolutional filters to extract the features in the...
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SAR image classification with convolutional neural network using modified functions
Identifying a target accurately in the presence of noise in synthetic aperture radar (SAR) images poses significant challenges considering various...
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Tool wear monitoring based on an improved convolutional neural network
Tool condition is the key factor affecting the quality and efficiency of precision cutting of parts. As tool wear is inevitable during machining,...
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Structural Damage Identification Based on Convolutional Neural Network Group Considering the Sensor Fault
This article proposes a structural damage identification method based on one-dimensional convolutional neural network group considering sensor...
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Image-based Concrete Cracks Identification under Complex Background with Lightweight Convolutional Neural Network
Cracks are important indexes to evaluate the health status of concrete structures. To accurately and automatically identify the cracks of concrete...
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Performance Enhanced Nonlinearity Compensation of Thermocouple Using Convolutional Neural Network
Among the wide variety of sensors for temperature measurement, thermocouple is the most popular type of sensing device, as it is cheaper, rugged,...
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Attention Pyramid Convolutional Neural Network Optimized with Big Data for Teaching Aerobics
Aerobics has emerged as a widely embraced cardiovascular exercise, fostering improved fitness through rhythmic movements that enhance heart rate,...
