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The results of culture snub-nose pompano (Trachinotus blochii Lacépède, 1801) in the “in Pond Raceway System” in Khanh Hoa provinceThe study aims to evaluate the environmental parameters and growth rate of snu-bnose pompano cultured in the “In Pond Raceway System - IPRS”. Fingerlings 5-6 cm in length were stocked at a density of... Author: Hà Nguyen Văn, Thiết Chu Chí, Dung Nguyen Thanh, Thảo Nguyen Thi Huong, Tan Tran Trong, Dang Nguyen Van, Bao Nguyen Tan Keyword: Snub-nose pompano In Pond Raceway System IPRS environmental parameters growth
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Chemical compositions and cytotoxic activity of essential oils extracted from Hedychium coronarium J. Koenig grown in VietnamHedychium coronarium, commonly known as white ginger lily (Zingiberaceae), is a native species in Asian forests. The plant has long been used as a traditional medicine for treating pain and... Author: Hieu Tran Trung, Le Giang Duc, Quoc Nguyen Van, Chung Nguyen Thi, Chen Tran Van, Minh Le Duc Keyword: Hedychium coronarium essential oil GC/MS SK-LU-1 cytotoxicity
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Machine learning-based prediction of construction cost overruns using Random ForestCost overrun is a common issue in construction projects, significantly affecting investment efficiency and project management. As projects become increasingly complex, developing accurate predictive... Author: Thu Nguyen Minh, Anh Nguyen Vu Minh, Lan Tran Ha, Ha Nguyen Trong Keyword: Construction cost overrun Machine learning Random Forest SHAP Project cost prediction
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An Empirical Analysis of Code Complexity and Its Impact on Software Defect DensityThis study investigates the relationship between software complexity metrics and defect density using five NASA-PROMISE datasets (JM1, CM1, KC1, KC2, and PC1). Five widely validated complexity... Author: Hien Doan Thi Thuy Keyword: Software defect prediction Software complexity metrics NASA-PROMISE Random Forest SMOTE Feature importance.
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A hybrid LightGBM-LSTM machine learning model for short-term water level forecasting in the Mekong River BasinAccurate short-term forecasting of river water levels plays an important role in flood risk management and water resource planning. This study proposes a hybrid forecasting framework that integrates... Author: Dũng Nguyễn Đình, Trinh Nguyen Hien Keyword: Machine learning models Time series forecasting LightGBM LSTM Hybrid model Mekong river
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Study on the implementation of community-based instruction in grade 2 Natural and Social sciences in Binh Chanh district, Ho Chi Minh CityCommunity-based instruction is one of the innovative educational approaches aimed at improving educational quality and contributing to developing a sustainable society. This study evaluates teachers'... Author: Nguyen Minh Giang Keyword: Community-based instruction Natural and Social sciences primary school students Binh Chanh Ho Chi Minh City.
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Harnessing the power of Artificial Intelligence (AI) in physics education in high schools: a study of teachers' perceptions and applications in VietnamThis study investigates the potential of Artificial Intelligence (AI) to enhance the quality of physics education in Vietnamese high schools, aligning with the competency-based approach of the General... Author: Đức Nguyễn Lâm, Phương Nguyễn Văn, Nguyên Phạm Hồng Keyword: artificial Intelligence (AI) physics teaching high school teacher perceptions AI applications.
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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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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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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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