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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
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Research on developing a monitoring system for drowsiness detection based on computer visionThis article focuses on the research and development of a model for a drowsiness detection and monitoring system while driving based on computer vision. The product can be applied to current vehicles... Author: Ha Dien Thi Hong Keyword: Drowsiness Traffic Smart Robots Computer vision Artificial Intelligence
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Safety probability assessment of compressive top chord of steel pony truss bridges using Hypercube Latin sampling and Monte Carlo simulationThe steel pony-truss bridge is a structure commonly used in road and rail traffic. It has a simple structure, a large bearing capacity, and high economic efficiency. The safety of steel pony-truss... Author: Ha Nguyen Trong, Nghia Tran Anh Keyword: Reliability assessment Monte Carlo simulation steel pony truss bridge stability of the top chord Hypercube Latin sampling
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Education of arts for high school students in Nghe An province through the use of Nghe An folk cultural materialsArt education in high schools plays a crucial role in guiding students towards shaping their careers. Utilizing learning materials from folk culture to teach art education not only enhances the... Author: Anh Le Vu Keyword: Art art education learning materials folk culture
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Enhancing the quality of education for Lao students at Thai Nguyen University of Information and Communication Technology in the current context
In the context of the current “flat world,” developing countries like Laos, Cambodia, etc., need high-quality human resources in science and technology for their national economies. It is inevitable... Author: Nguyen Phuong Thu, Nguyen Oanh Lan, Dung Nguyen Thi Keyword: Training quality self-study self-learning skills International students overseas students
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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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Actual situation of selecting examination and assessment methods to enhance the quality of self-learning for the computer networking courseTeaching and learning under the credit-based system has become widespread in the higher education system of Vietnam. The assessment of learning outcomes through credit-based education not only relies... Author: Dung Nguyen Thi, Nguyen Oanh Lan, Nguyen Phuong Thu, Mai Hoan Van, Vu Dung Viet, Do Luc Dinh Keyword: Examination assessment self-learning process course effectiveness and training quality
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Network community detection based on improving vertex coordinates
In recent years, with the strong development of information technology, detecting communities in large real networks is a very important issue which is of interest to many scientists. Community... Author: Trung Lai Van, Nguyễn Giang Thị Thanh Keyword: Community detection random walk coordinates distance modularity
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Dynamic model reduction using modal truncation in the building motion problemModal truncation, an advanced algorithm for model reduction in dynamic systems, efficiently simplifies complex models by selectively discarding less influential eigenmodes, maintaining a balance... Author: Vũ Nguyệt Thị Keyword: Modal truncation model reduction dynamic systems eigenmode analysis duilding motion model
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Using convolutional neural network to diagnose diseases on mango leavesThe objective of this research is to apply Convolutional Neural Networks (CNNs) for the accurate identification of seven common diseases on mango leaves: Anthracnose, Bacterial Canker, Cutting Weevil,... Author: Vo Toan Tan, Nguyen Thinh Duc Keyword: Mango leaf diseases deep learning convolutional neural network (CNN) image classification plant disease detection
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