|
1
|
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.
|
|
2
|
Artificial Intelligent applications in crop production: a comprehensive reviewGlobal agriculture faces growing challenges from population growth, climate change, and resource scarcity, demanding innovative solutions for food security and sustainability. Artificial Intelligence... Author: Nguyen Mai Thi Thanh Keyword: Machine learning Artificial Intelligence (AI) Crop improvement Precision agriculture Resource optimization Agriculture sustainability.
|
|
3
|
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.
|
|
4
|
A systematic review of the application of artificial intelligence techniques in the development of smart wearable device applicationsThe convergence of artificial intelligence (AI) and wearables is ushering in a new paradigm of software development - AI-powered app creation - where AI is not just a feature but a software creation... Author: Dung Nguyen Thi, Nguyen Phuong Thu, Doan Phuong Ngoc Keyword: AI-powered wearable apps TinyML systematic review PRISMA guidelines software development for wearables
|
|
5
|
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
|
|
6
|
An Artificial Intelligence-based ecosystem for personalized nutrition in preschool children groups
This paper proposes an artificial intelligence model to support the development of a personalized nutrition ecosystem for preschool children. The proposed approach combines child clustering based on... Author: An Pham Trong Phuong, Vo Bao Quoc, Nguyen Duy Khanh, Pham Binh Trong, Hoang Tram Thi, Cao Thanh Son Keyword: Artificial Intelligence Personalized Nutrition Preschool Children Nutrition Ecosystem
|
|
7
|
Overview study of mobile network traffic for BTS stationsIn recent years, Machine Learning (ML) has become a crucial and promising tool for forecasting and solving a wide range of complex problems. The rapid development of machine learning is closely linked... Author: Thuc Hoang Van, Thang Vu Chien, Nam Pham Thanh, Thao Doan Thi Thanh, Ngoc Pham Van, Phuong Mac Thi Keyword: 5G Traffic base station BTS for 5G Network 5G/BTS Traffic 5G Traffic
|
|
8
|
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
|
|
9
|
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
|
|
10
|
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
|