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Proposing solutions to support the accounting of cutting tables used in garment manufacturingFabric cutting processes directly affect material costs; however, in many small and medium-sized garment enterprises, cutting plan management remains manual and experience-based, leading to... Author: Oanh Ta Vu Thuc Keyword: Fabric optimization Cutting table accounting Excel-based solution SME manufacturing garment industry
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Application of ByteTrack and YOLOv10 models in solving the object tracking problemThis paper presents a real-time multi-object tracking system by integrating the YOLOv10 object detection model with the ByteTrack data association algorithm. In the proposed system, YOLOv10 provides... Author: Tran Quy Quang Keyword: hybrid model YOLO ByteTrack Object tracking Real-time
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An Empirical Analysis of Code Complexity and Its Impact on Software Defect DensityThis study investigates the relationship between software complexity metrics and defect density using five NASA-PROMISE datasets (JM1, CM1, KC1, KC2, and PC1). Five widely validated complexity... Author: Hien Doan Thi Thuy Keyword: Software defect prediction Software complexity metrics NASA-PROMISE Random Forest SMOTE Feature importance.
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Analyzing the impact of network failures on the routing performance of OSPF and EIGRPRouting reliability is essential for maintaining service continuity in enterprise IP networks, particularly under failure conditions. Among interior gateway protocols, Open Shortest Path First (OSPF)... Author: Hoan Tran Quoc Keyword: OSPF EIGRP Network failures Convergence time Routing performance
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A hybrid LightGBM-LSTM machine learning model for short-term water level forecasting in the Mekong River BasinAccurate short-term forecasting of river water levels plays an important role in flood risk management and water resource planning. This study proposes a hybrid forecasting framework that integrates... Author: Dũng Nguyễn Đình, Trinh Nguyen Hien Keyword: Machine learning models Time series forecasting LightGBM LSTM Hybrid model Mekong river
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Context representation for LLM based code generation in visual studio: a systematic reviewThe rapid proliferation of large language models (LLMs) is creating new opportunities for automated code generation in integrated development environments (IDEs). However, the effectiveness of these... Author: Nguyen Dung Thi, Doan Phuong Ngoc, Nguyen Phuong Thu, Nguyen Oanh Lan Keyword: Context aware code generation Large Language Models Integrated Development Environments Systematic literature review PRISMA
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Design and fabrication of a dual-axis solar tracking systemIn this paper, we present the design and fabrication of a solar panel system capable of automatic dual-axis tracking based on sunlight using a servo mechanism controlled by an Arduino Nano. The system... Author: Tien Dung Nguyen Keyword: Dual-axis solar tracking system Arduino power monitoring IoT
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Morphological characteristics of the population of the donkey croaker Pennahia aneus (Bloch, 1793) in the estuary and Coastal areas of Thanh Hoa provinceThis study was conducted in the coastal estuaries of Thanh Hoa Province from 2022 to 2025 to assess the diversity of species in the family Sciaenidae. Among the recorded species, the distribution of... Author: Thao Hoang Ngoc Keyword: Thanh Hoa estuary new record taxonomy morphological correlation
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Phishing email detection using temporal behavioral modeling and transformer architecturesThis study addresses the challenge of effectively detecting phishing email campaigns that exhibit increasingly sophisticated and sequential behaviors. The primary objective is to develop a detection... Author: Hien Dang Thi, Duyen Tran Thi Keyword: Phishing detection email security temporal analysis transformer models multi-email sequence analysis BiLSTM urgency score suspicious score
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A study on machine learning-based approaches for early detection of Parkinson’s diseaseParkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the gradual loss of dopaminergic neurons in the brain, leading to both motor and non-motor symptoms. This study... Author: Huong Tran Thi Keyword: Parkinson’s Disease Early Diagnosis Machine Learning XGBoost Random Forest Clinical Data Analysis
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