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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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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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7
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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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Risk-sensitive spatio-temporal graph reinforcement learning for predictive and propulsion-aware routing in 6G-enabled FANETsFlying ad hoc networks (FANETs) in 6G environments require routing schemes that can cope with rapid topology changes, limited UAV energy resources, and unstable air-to-air links. This paper proposes a... Author: Nguyen Thu Thi Keyword: 6G-enabled FANETs Spatio temporal graph learning Risk sensitive deep reinforcement learning Propulsion aware routing Route survival probability
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Trust-aware blockchain-assisted multi-agent DRL for secure and scalable routing in IoT-enabled MANETsThis paper proposes a trust-aware blockchain-assisted multi-agent deep reinforcement learning (MADRL) framework for secure and scalable routing in IoT-enabled Mobile Ad Hoc Networks (MANETs) under... Author: Phuong Hoang Thi Keyword: IoT networks Secure routing Blockchain Multi-agent deep reinforcement learning (MADRL) Double Deep Q-Network (DDQN)
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