FETC25-095
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Image Preprocessing Model for Enhancing Segmentation of Surface Damage on Wind Turbine Blades
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This study presents a customized pipeline that combines image preprocessing and seg-
mentation to enhance the accuracy ...
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Valentin Malykh
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FETC25-094
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Evaluating LLM Agent Architectures for Decision-Making in a Puzzle Game: A Comparative Study of Pydantic-AI and Orak-based Agents
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This study evaluates the ability of Large Language Model (LLM) agents to reduce hallucinations and enhance decision-maki...
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Trung Thế Nguyễn, Chi Hoàng Lệ Trần , Duy Thế Đặng
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FETC25-093
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Robust Plant Leaf Disease Detection using Attention Mechanism
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Accurate and robust classification of plant leaf diseases is vital for timely intervention in agricultural management sy...
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Thong Duc Trinh, Debarshi Mazumder, Vinh Dinh Nguyen
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FETC25-092
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Automated Test Code Generation from BDD Scenarios with LLMs
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Automation with large language models (LLMs) is transforming software development, including testing one of the most res...
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Nhung Hong Nguyen, Lam The Tran, Hoang Anh Truong
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FETC25-091
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OCTD: An One-Class Contrastive Learning based Framework for Time Series Anomaly Detection Task
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Time-series anomaly detection plays a critical role in a wide range of application domains, including finance, healthcar...
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Trần Chí Tâm, Huỳnh Công Việt Ngữ
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FETC25-090
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Improving Imbalanced Multi-Label Chest X-Ray Diagnosis via CBAM-Enhanced CNN Backbones
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Chest radiography is a widely used imaging modality for thoracic disease diagno
sis, yet its conventional interpretati...
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Duy Huu Nguyen, Duy Khuong Hoang, Ngu Cong Viet Huynh
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FETC25-089
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Momentum-Anchored Multi-Scale Fusion Model for Long-Tailed Chest X-Ray Classification
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Chest X-ray classification suffers from severe class imbalance where gradient updates bias toward majority classes, caus...
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Duy Khuong Hoang, Duy Huu Nguyen, Ngu Cong Viet Huynh
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FETC25-088
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Real-Time Contactless Palm Print Identification System for Uncontrolled and Uncooperative Environments
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Biometric identification systems, such as face, fingerprint, and palm print recognition, have become increasingly popula...
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Khang Vuong Huynh, Ngu Cong Viet Huynh
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FETC25-087
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Adapting Anomaly Transformer to Constrained Time Series Scenarios
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Unsupervised time series anomaly detection is critical when labeled data are scarce. Although the Anomaly Transformer ac...
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Quan Trong Khuu, Ngu Cong Viet Huynh
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FETC25-086
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Deep Learning-Driven Approach for Cataract Diagnosis and Severity Assessment Using Fundus Images
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Cataracts, the clouding of the eye’s lens that leads to progressive vision impairment, remain a major global health chal...
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Minh Anh Hoang, Khuong Nguyen-Vinh
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