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Garbage classification using deep learning technologyGarbage classification has always been an important issue in environmental protection, resource recycling, and social livelihood. However, garbage classification takes a lot of time and effort.... Author: Ngo Huu-Huy, Bui Tung Van, Le Linh Hung, Nguyen Minh Duy Keyword: Artificial Intelligence; convolutional neural network; deep learning; garbage classification; machine learning.
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Integrate deep neural network and support vector machine to improve the quality of voice processing in internet of things devicesAlong with the development of science and technology, especially internet of things (IOT), IOT-related products increasingly contribute to improving people’s life. Among those products, it is... Author: An Nguyễn Năng Keyword: Deep learning voice recongnition I-vector Internet of Thing.
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BiDAF model in sentiment analysis taskSentiment analysis is a critical job in natural language processing. Controlling and evaluating customer feedback on their goods is a task that companies are especially interested in. For reading... Author: Huế Lương Thị Minh Keyword: Natural language processing; LSTM; deep learning; machine learning; BiDAF.
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Improving the efficacy of network security based on dimensionality reduction techniquesThis paper focuses on proposing a network intrusion detection model applying fundamental machine learning techniques to enhance early detection of network intrusions (rapid detection of attack... Author: Phuong Hoang Thi Keyword: Network attack DDoS machine learning deep learning dimensionality reduction
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SELF-DRIVING ROBOT CARS USING IMAGE PROCESSING AND DEEP LEARNING
In the field of image processing, recognition is one of the major challenges for researchers in recent years. The goal of recognition is to detect and extract features in images to classify samples... Author: Dương Đình Tú, Phan Xuan Hieu, Hoang Tuan Hiep Keyword: self-driving robot car; image processing; Convolutional Neural Network; deep learning.
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