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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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Assessing the clinical reliability of deep learning models in breast thermography: an exploratory study using explainable AIInfrared thermography is a promising non-invasive modality for breast cancer screening. However, ensuring the clinical reliability of deep learning models under small-data conditions remains... Author: Dung Tran Ngoc, Son Pham Nam, Binh Do Khoa, Nam Le Hai, Hoang Nguyen Minh, Hoc Pham Xuan Keyword: breast cancer diagnosis infrared thermography deep learning Explainable AI (XAI) Clinical reliability Model interpretability
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An effective malware classification method based on byte-to-image transformation and integration of the vision transformer modelMalware classification is a critical problem in cybersecurity, characterized by numerous challenges due to the complexity and diversity of malware variants. In this study, we propose a novel approach... Author: Thuy Nguyen Thi Thu, Linh Do Thi Hong, Ha Hoang Thi Hong, Cuc Pham Thi, Binh Pham Anh Keyword: Malware Classification Vision Transformer (ViT) Bytecode Image Representation Deep Learning Self-Attention
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Real-time pothole detection and multi-class classification for intelligent transportation systems using YOLOv8Potholes are among the most common and hazardous types of pavement defects, significantly impacting road safety, vehicle durability, and infrastructure maintenance costs. This study proposes an... Author: Tran Long Van, Vinh Nguyen The Keyword: Pothole detection YOLOv8 Computer vision Deep learning Autonomous vehicles Smart transportation
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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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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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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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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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