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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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Facial emotion recognition using deep learning technologyRecognizing emotions on human faces has always received attention and attraction from researchers. Along with the development of artificial intelligence, facial emotion recognition cameras are... Author: Hoa Nguyen Thi Thu, Ngo Huu-Huy, Tuyen Giap Manh, Duong Nong Van, Oanh Nguyen Thi Kieu Keyword: DeepFace Facial Emotion Recognition FER-2013 MTCNN VGG-Face
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Overview of artificial intelligence applications in developing digital learning resourcesDeveloping digital learning materials, especially video lectures, is becoming an important issue in education. The emergence of artificial intelligence (AI) has made the creation of videos easier... Author: Huế Lương Thị Minh, Vinh Nguyen The, Son Nguyen Kim, Viet Nguyen Van, Phuong Do Thi, Huong Duong Thuy Keyword: artificial intelligence video education materials prisma
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Sentence representation using LSTM for finding questionLearning sentence representation with the full semantics of a document is a challenge in natural language processing problems because if the semantic representation vector of the sentence is suitable,... Author: Linh Dinh Khanh, Huy Tran Quang Keyword: LSTM NLPDeep learning QACQA learning sentence representation
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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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Applying the Autoencoder model for URL phishing detectionIn the era of digital transformation, alongside the rapid devel-opment of the Internet and online applications, phishing at-tacks targeting users through malicious URLs have been in-creasingly... Author: Mai Dang Thi Keyword: URL Phishing detection Autoencoder latent space
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