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Fish biodiversity in Pu Mat National Park, Nghe An provinceA study on fish biodiversity was conducted in 2024 through two sampling campaigns at 22 sites along five watershed transects: Khe Choang, Khe Bu, Khe Kem, Khe Thoi, and Co Phat within Pu Mat National... Author: Ho Anh Tuan, Tuan Le Anh, Tuan Vo Cong Anh, Nga Nbuyen Thi, Hùng Nguyễn Mạnh, Quoc Nguyen Sy, Cong Hoang Nghia, Manh Nguyen Van, Minh Nguyen Thanh, Lam Nguyen Ngoc, Hung Tiet Nguyen Ha Viet Keyword: Fish biodiversity Pu Mat National Park fish classification ichthyofauna freshwater fish
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The impact of the carbon border adjustment mechanism (CBAM) on export activities into the EU marketThis study clarifies the impact of the carbon border adjustment mechanism (CBAM) on the export activities of enterprises that produce six main affected industrial products: iron and steel, cement,... Author: Anh Nguyen Thi Lan, VINH NGUYEN THANH, Vu Pham Quang, Quan Do Hong, Diep Cao Ngoc, Tuong Tran Thanh Keyword: CBAM export EU sustainable development
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New records and update list species of turtles in Pu Luong Nature Reserve, Thanh Hoa provinceThe paper provides morphological data of three turtle species: Black-breasted Leaf Turtle Geoemyda spengleri (Gmélin, 1789), Impressed Turtle Manouria impressa (Günther, 1882), and Big-headed Turtle... Author: Vinh Dau Quang, Ly Do Thi, Thao Ha Thi, Quynh Le Thi, Thao Ha Thi, Phuong Le Thi Thu, Phuong Le Đinh Keyword: Morphological turtles new distribution Pu Luong
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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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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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Enhancing network performance with improved random early detectionCongestion has become an important issue affecting the per-formance of network systems. Active Queue Management (AQM) algorithms are crucial in ensuring network stability. The first active queue... Author: Dien Vu Van Keyword: Active queue management congestion average queue size RED threshold.
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A study proposing improvements to overlay network architecture to mitigate the impact of distributed denial-of-service attacks on website systemsDenial-of-service (DoS) attacks on website systems have become increasingly sophisticated. These attacks are evolving at a pace and complexity that outstrips the capabilities of current defensive... Author: Vu Phuong Thi Keyword: Cyber attacks denial of service attacks distributed denial of service attacks website overlay network
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Research on techniques to en-hance DDoS attack prevention using cumulative Sum and back-propagation algorithmsThis paper focuses on enhancing DDoS attack prevention ca-pabilities through the combination of the Cumulative Sum (CUSUM) algorithm and the Backpropagation method, aiming to detect attack indicators... Author: Phuong Hoang Thi Keyword: Network attack CUSUM algorithm Backpropagation algo-rithm Anti-spoofing DDoS attack
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Applying transformer architecture to enhance attack detection performance in intrusion detection systemsIntrusion Detection Systems (IDS) are crucial in safeguarding network security against increasingly sophisticated threats. In this study, we propose a Transformer-based intrusion detection model to... Author: Vu Phuong Thi, Ha Hoang Thi Hong, Truong Dinh Gia, Yen Tran Thi Keyword: Intrusion Detection Transformer UNSW-NB15 Cybersecurity Self-attention
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