FETC25-061
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Deep Learning-Driven Approach for Cataract Diagnosis and Severity Assessment Using Fundus Images
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Cataracts, defined as the clouding of the eye’s lens leading to impaired vision, represented a significant global health...
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Minh Anh Hoang, Khuong Nguyen-Vinh
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FETC25-052
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Unlocking the Potential of Spike-based Transformer Architecture: Investigating Spiking Neural Models for Classification Task
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Spiking Neural Networks (SNNs) offer energy-efficient and biologically plausible alternatives to conventional Artificia...
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Tri Minh Nguyen, Khang Vuong Huynh, Ngu Cong Viet Huynh
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FETC25-045
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DenseTransXR: A Hybrid Transformer-Based Approach for Chest X-ray Abnormality and Emerging Disease Detection
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The COVID-19 pandemic has caused enormous challenges for medical experts in identifying the abnormalities from radiograp...
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Minh Anh Hoang, Hieu Le Minh Phan
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FETC25-041
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Application of YOLOCSP Model for Pest Detection and Management to Optimize Crop Health
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Preservation of crops depended heavily on early and accurate detection of pests, as they caused numerous diseases that r...
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Minh Anh Hoang, Khuong Nguyen-Vinh, Radomír Goňo
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FETC25-038
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Forecasting Urban Energy for Net-Zero Smart Cities: A Hybrid Attention-based Approach
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The transition towards net-zero smart cities required complex and agile energy forecasting models to manage nonlinear en...
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Minh Anh Hoang, Thuan Do Thanh Hoang, Tuan Phu Phan, Khuong Nguyen-Vinh
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FETC25-019
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Lattice thermal conductivity of penta-XP$_5$ (X = Al, Ga, In): A first-principles and machine learning study
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Pentagonal two-dimensional (2D) materials, such as penta-XP$_5$ (X = Al, Ga, In), exhibit promising properties for therm...
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Vo Khuong Dien , Nguyen Thi Han, Thai Van Thanh, Nguyen Thanh Tien
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FETC25-018
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Predicting PHQ-9 Depression Scores from Free-Text Responses Using a Hybrid SBERT and Bi-LSTM architecture
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Depression is a major mental health problem for university students, which often remains undiagnosed due to the limitat...
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Duy Anh Nguyen, Trung Hau Nguyen, Hoang Khoa Trinh
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FETC25-016
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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 ...
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Nhung Hong Nguyen, Lam The Tran, Hoang Anh Truong
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FETC25-015
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A tiny Transformer Architecture for Low-Latency Sign Language Gloss-to-Text Translation.
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In this work, we present a Tiny Transformer architecture optimized for real-time glossto-text translation. Unlike conven...
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NGUYEN XUAN SAM
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FETC25-010
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Ensemble Deep Learning Architecture with Multi-Head Attention for Accurate Bean Leaf Disease Classification
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Bean leaf disease poses a significant threat to crop yield and quality, which requires reliable and accurate detection m...
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Tu Hoang Vo, kheo Mui Chau
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