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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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Impacts of artificial intelligence on psychology: a bibliometrics reviewArtificial intelligence (AI) has emerged as a technology capable of generating content, ideas, designs, and solutions through learning from vast amounts of user data. In research in general, and the... Author: Phuong Nguyen Keyword: artificial intelligence psychology ethic educational psychology natural language processing
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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.
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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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Exploring EFL students’ attitudes and experiences with self- and peer-assessment in writingWriting is a core skill in English as a Foreign Language (EFL) learning, requiring learners to develop accuracy, coherence, and critical reflection. This study investigates the attitudes and... Author: Phan Lam Thi Keyword: Self-assessment Peer-assessment Writing skills Learner attitudes
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Risk-Preserving Policy Distillation for Lightweight Onboard Resource Allocation in AI-Enabled VANETsDeep reinforcement learning (DRL) enables adaptive spectrum and power allocation in highly dynamic vehicular ad hoc networks, but full-size policies are often impractical for resource-constrained... Author: Huong Tran Thi Keyword: Risk-preserving policy distillation Tail-risk-aware resource allocation Critical-state-aware model compression Constrained deep reinforcement learning VANET spectrum and power allocation.
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RiskAdversarial GNN-DRL framework for Robust communication in hostile MANET environmentsMobile ad hoc networks (MANETs) operating in hostile environments are vulnerable to coordinated wireless, routing, trust, and topology attacks. This paper proposes a tri-level
adversarial GNN–DRL... Author: Hoan Tran Quoc Keyword: Mobile ad-hoc networks Adversarial graph neural networks Trust-aware graph recovery Hierarchical deep reinforcement learning Self-play learning.
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Rethinking teacher education in the digital transformation era: evidence from Dong Nai University, VietnamThe rapid digitization of education has necessitated a paradigm shift in teacher preparation programs worldwide. Future educators are required not only to possess solid subject knowledge but also to... Author: Nguyen Loan Thi Keyword: Teacher education digital transformation educational technology Dong Nai University; future educators
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Intrusion detection in network systems using transformer based approachThe growing complexity of modern network infrastructures, driven by cloud computing, IoT, and 5G, poses significant challenges for traditional Intrusion Detection Systems (IDS), which often fail to... Author: Ngo Hoa Thi Keyword: Transformer Intrusion Detection Cybersecurity Network Traffic Deep Learning Anomaly Detection
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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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