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An effective malware classification method based on byte-to-image transformation and integration of the vision transformer modelMalware classification is a critical problem in cybersecurity, characterized by numerous challenges due to the complexity and diversity of malware variants. In this study, we propose a novel approach... Author: Thuy Nguyen Thi Thu, Linh Do Thi Hong, Ha Hoang Thi Hong, Cuc Pham Thi, Binh Pham Anh Keyword: Malware Classification Vision Transformer (ViT) Bytecode Image Representation Deep Learning Self-Attention
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Assessing the clinical reliability of deep learning models in breast thermography: an exploratory study using explainable AIInfrared thermography is a promising non-invasive modality for breast cancer screening. However, ensuring the clinical reliability of deep learning models under small-data conditions remains... Author: Dung Tran Ngoc, Son Pham Nam, Binh Do Khoa, Nam Le Hai, Hoang Nguyen Minh, Hoc Pham Xuan Keyword: breast cancer diagnosis infrared thermography deep learning Explainable AI (XAI) Clinical reliability Model interpretability
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A study on GPS spoofing and jamming countermeasures to enhance reliability and security for UAVs in urban environments
Unmanned aerial vehicles (UAVs) rely heavily on the Global Positioning System (GPS) for navigation and control, making them vulnerable to attacks such as GPS spoofing and jamming, particularly in... Author: Thuc Hoang Van, Cuong Doan Manh Keyword: GPS spoofing GPS jamming unmanned aerial vehicles (UAVs) urban environments safety and reliability simulation-based analysis
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Real-time pothole detection and multi-class classification for intelligent transportation systems using YOLOv8Potholes are among the most common and hazardous types of pavement defects, significantly impacting road safety, vehicle durability, and infrastructure maintenance costs. This study proposes an... Author: Tran Long Van, Vinh Nguyen The Keyword: Pothole detection YOLOv8 Computer vision Deep learning Autonomous vehicles Smart transportation
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Artificial Intelligent applications in crop production: a comprehensive reviewGlobal agriculture faces growing challenges from population growth, climate change, and resource scarcity, demanding innovative solutions for food security and sustainability. Artificial Intelligence... Author: Nguyen Mai Thi Thanh Keyword: Machine learning Artificial Intelligence (AI) Crop improvement Precision agriculture Resource optimization Agriculture sustainability.
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Effects of parasite on the survivity rate of golden fin pompano (Trachinotus falcatus) cultured in Hai Phong and treatment solutionThe study was carried out from September to December 2022. The purpose of the study was to investigate the effect of parasites on fish survival and effective treatment solution. Fresh scanning method... Author: Hanh Truong Thi My, Nguyen Nguyen Thi, May Le Thi, Hanh Nguyen Thi, Quan Nguyen Minh, Hanh Cao Van, Binh Phan Trong, Vinh Truong Thi Thanh, Thin Pham Van, Lua Đăng Thi Keyword: Golden fin Pompano (Trachinotus falcatus) parasites Amyloodinium sp. Cryptocaryon sp. treatment.
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Study of the impact of timer on network conference and CPU processing performance when implementing OSPF-v3 in IPv6 networkNowadays, the Open Shortest Path First (OSPF) routing protocol is very commonly used in IPv6 network infrastructure. OSPF uses a variety of Timers to reduce the number of Overhead messages. These... Author: Hiep L H, Viet Ho Mau, Quy Duong Thi, Yen Tran Thi, Bich Nga Nguyen Thi, Tuan Nguyen Quoc Keyword: OSPF Timer network convergence CPU performance convergence time OSPFv3 protocol.
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Research on the application of artificial intelligence techniques in price forecasting of some commoditiesThe global economy is significantly impacted by changes in the price of primary commodities. As a result, both the academic and professional sectors have paid attention to price predictions for major... Author: Son Nguyen Thai Keyword: Primary Commodities Price Forecasting GMDH ANFIS ANN LSTM
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The relationship of agricultural land use and nutritional loading in the Ca River basinsThe purpose of this research is to determine the relationship between the land area in the agricultural watershed and the nutrient load in the Ca River basin. Eight sampling sites in the Ca River... Author: Le Huu Tien, Ha Thanh Thi Kim, Ho Phuong Thi, Nguyen Tien Xuan Keyword: Ca River nutrient load agriculture water quality
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Developing a procedure to quantify lead and cadmium heavy metals in tuberous roots of Rehmannia glutinosa varietes 19 by atomic absorption spectroscopy. The study aimed to develop and validate the quantitative procedure of lead and cadmium in tuberous roots of Rehmannia glutinosa varietes 19 by atomic absorption spectroscopy. Research results show... Author: Loan Pham Thanh Keyword: Cadmium lead quantification atomic absorption spectroscopy Rehmannia glutinosa varietes 19.
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