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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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Improving performance for imbalanced data classification using oversampling and characteristics of each clusterThis paper proposes a method to enhance the effectiveness of classifying imbalanced data. The main contribution of the method is integrating the K-means clustering algorithm and the minority... Author: Phong Phan Anh, Thanh Le Van Keyword: Data Classification Imbalanced Data Oversampling K-Means SMOTE
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Developing a product rating prediction model based on customer text feedback using machine learning algorithmsThis study focuses on predicting product rating scores from customer text feedback. This task combines the challenges of natural language processing (NLP) with the class imbalance phenomenon commonly... Author: Ha Dien Thi Hong Keyword: Product rating prediction customer text feedback natural language processing (NLP) machine learning models model performance evaluation
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A study on machine learning-based approaches for early detection of Parkinson’s diseaseParkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the gradual loss of dopaminergic neurons in the brain, leading to both motor and non-motor symptoms. This study... Author: Huong Tran Thi Keyword: Parkinson’s Disease Early Diagnosis Machine Learning XGBoost Random Forest Clinical Data Analysis
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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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