Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 229
- Final Year Project (FYP)
Authors: Nguyễn, Thị Yến Nhi; Advisor: Tran, Thi Oanh (2025) - This project explores the use of machine learning techniques to detect the implementation of Environmental, Social, and Governance (ESG) practices in banks through the analysis of their annual reports. As the importance of ESG factors continues to grow, effective and automated methods for evaluating ESG disclosures have become essential for investors, regulators, and stakeholders. While the majority of existing studies focus on processing textual data primarily in English, this research proposes several methodologies designed specifically for a Vietnamese-language dataset. However, because the amount of research on ESG in Vietnam is currently quite small, relevant data is often not mu...
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- Final Year Project (FYP)
Authors: Nguyen, Le Trung Kien; Advisor: Ha, Manh Hung (2025) - The main goal is to deeply understand the impact of working capital management on the financial performance of businesses in the Food & Beverage (F&B) industry and the Retail industry in Vietnam. By analyzing and comparing the working capital practices of these corporations, valuable insights can be gained into their efficiency and financial health.6 The research brings scientific significance: Adding more knowledge about the impact of working capital management on financial performance. Provides comparative information on the effectiveness of working capital management between the F&B and Retail industries in Vietnam. This research aims to provide concrete evidence and data-driven co...
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- Final Year Project (FYP)
Authors: Dang, Truong Giang; Advisor: Le, Xuan Hai (2025) - This project explores the design, implementation, and evaluation of a smart home system utilizing an embedded ESP32 microcontroller and Raspberry Pi 4b platform with Home Assistant software. The system aims to integrate core smart home functionalities, including lighting control, temperature and humidity monitoring, gas detection, and access control. Leveraging the Internet of Things (IoT) and embedded systems technologies, the project7 delivers a scalable and cost-effective solution for automation, security, and energy efficiency. The system comprises six key components: a processing unit, server unit, sensor unit, motor unit, lighting unit, and power unit. These components collectiv...
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- Final Year Project (FYP)
Authors: Pham, Xuan Thang; Advisor: Ha, Manh Hung (2025) - This project's main goal is to create, develop, and assess a job search and recruitment application specifically for engineering students. Among the specific goals are: Creating an application that is easy to use: Assure a user-friendly interface that satisfies recruiters' and job seekers' needs. Enabling job matching based on skills: Use algorithms to find appropriate career possibilities based on the profiles of engineering students. Simplifying the hiring process: Offer tools for managing resumes and tracking applications. Improving accessibility: Make sure the application works across a variety of browsers.
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- Final Year Project (FYP)
Authors: Hoang, Minh Duc; Advisor: Le, Xuan Hai (2025) - The Smart Security System, integrating facial recognition, sound analysis, and security alert functionalities, is a cutting-edge solution designed to enhance safety and surveillance in residential and commercial environments. This system leverages advanced technologies in computer vision and artificial intelligence to provide real-time face detection, identification, and audio detection. Key features include multi-face recognition, identification of authorized individuals, and immediate alerts in response to unusual sounds. The system also offers a user-friendly interface for remote monitoring and control through mobile telegram applications, ensuring accessibility and co...
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- Final Year Project (FYP)
Authors: Duong, Dieu Linh; Advisor: Tran, Thi Oanh (2025) - In recent years, integrating ESG (Environmental, Social and Governance) factors into corporate assessment frameworks has become a global priority. However, Vietnam lacks a standardized ESG scoring system, posing a challenge for businesses and investors working towards sustainable development goals. To address this gap, this study focuses on the Vietnamese banking sector - one of the country's most influential sectors - and categorizes the ESG action temporal implementation towards predicting ESG scores based on information extracted from annual reports. As part of this effort, a new dataset of 5816 rows was constructed from 523 annual reports from 37 major Vietnamese banks from 2004 –...
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- Final Year Project (FYP)
Authors: Vu, Minh Hieu; Advisor: Nguyen, Doan Dong (2025) - The rapid expansion of the sharing economy has significantly transformed the hospitality and tourism industry, with peer-to-peer (P2P) accommodation platforms such as Airbnb redefining customer experiences and service expectations. This thesis examines the factors influencing customer retention in Vietnam’s P2P accommodation sector, with a particular focus on revisit intentions. Using a dataset of over 86,000 customer reviews collected from Airbnb listings across Vietnam, this study applies advanced Natural Language Processing (NLP) techniques, including Latent Dirichlet Allocation (LDA) for topic modeling and sentiment analysis with VADER and SentiWordNet. Customer feedback was label...
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- Final Year Project (FYP)
Authors: Nguyen, Van Son; Advisor: Pham, Ngoc Thanh (2025) - To design and implement a solar tracking system that optimizes energy collection under varying environmental conditions. To develop a reliable object tracking system capable of identifying and monitoring targets in real-time across different scenarios. To integrate the solar tracking and object detection systems into a unified control platform, balancing energy usage and operational efficiency. To evaluate the performance of the integrated vehicle through testing in diverse environments, ensuring adaptability and reliability . By addressing these objectives, this study provides a sustainable and intelligent solution for autonomous systems and renewable energy applications. The outcome...
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- Final Year Project (FYP)
Authors: Doãn, Văn An; Advisor: Nguyen, Doan Dong (2025) - This study focuses on addressing the challenges associated with applying Large Language Models (LLMs) and the Retrieval Augmented Generation (RAG) method, while also incorporating voice processing to resolve students' inquiries about information for the school in areas such as admissions, academic advising, scientific research, and updates on new information and announcements from the International School – Vietnam National University, Hanoi. Although LLMs have made significant advancements in natural language processing, they still encounter difficulties when handling specific applications. The objective of this research is to enhance the knowledge and reasoning capabilities of LLMs ...
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- Final Year Project (FYP)
Authors: Le, Quang Huy; Advisor: Pham, Ngoc Thanh (2025) - Among the various types of Unmanned Aerial Vehicles (UAVs), quadrotors have emerged as a particularly popular configuration in both research and practical applications. Their widespread appeal can be attributed to a combination of unique advantages that distinguish them from other configurations such as hexacopters, octocopters, and fixed-wing drones. These advantages make quadcopters a preferred choice for a wide range of missions and industries. One of the most notable benefits of quadrotors is their compact size. Unlike larger UAV configurations, quadcopters are designed to be lightweight and portable, making them ideal for operations in confined or complex environments. Their abil...
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- Final Year Project (FYP)
Authors: Pham, Gia Khiem; Advisor: Nguyen, Doan Dong (2024) - Project Introduction -- Project Management Plan -- Software Requirements Specification -- Software Design Description -- Software Release -- Future development
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- Final Year Project (FYP)
Authors: Trần, Văn Hoàn; Advisor: Phạm, Thị Việt Hương (2025) - The primary objective of this research is to design, implement, and evaluate a smart greenhouse system that automates plant care and environmental monitoring while promoting energy efficiency and sustainability. By integrating advanced technologies such as IoT, renewable energy, and real-time data analytics, the system addresses critical challenges in modern agriculture. The system focuses on enhancing agricultural productivity through the optimization of environmental conditions like temperature, humidity, light intensity, and soil moisture. It aims to reduce labor intensity by automating essential tasks such as irrigation, misting, cooling, and lighting, minimizing the need for manu...
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- Final Year Project (FYP)
Authors: Tran, Van Duat; Advisor: Pham, Thi Viet Huong (2025) - Diabetic retinopathy (DR) is a leading cause of vision impairment globally. Early and accurate detection of DR severity is crucial for timely intervention and prevention of blindness. This study investigates the potential of two cutting-edge deep learning models, Swin Transformer and FastViT, for automated DR severity classification from fundus images. To enhance the visibility of pathological features crucial for accurate classification, a novel image preprocessing pipeline is proposed. This pipeline combines Contrast Limited Adaptive Histogram Equalization (CLAHE) with Top-hat and Blackhat morphological operations, aiming to improve contrast and effectively highlight salient feature...
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- Final Year Project (FYP)
Authors: Chu, Ngoc Linh; Advisor: Nguyen, Thi Huyen (2025) - TikTok livestream commerce represents a particularly innovative approach to digital
retail, enabling businesses to establish immediate, interactive connections with potential
customers. This platform allows sellers to directly communicate product value,
demonstrate features, and build consumer trust in real-time (Wang et al., 2021).
However, successful livestream marketing requires a nuanced understanding of the
complex factors driving consumer behavior.
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- Final Year Project (FYP)
Authors: Tu, Thi Huyen; Advisor: Ha, Manh Hung (2025) - Surface damage detection and segmentation play a crucial role in road maintenance, directly impacting transportation safety and infrastructure durability. This study focuses on leveraging deep learning technology, specifically the YOLOv11n model, to accurately identify and segment surface defects such as cracks and potholes. The YOLOv11n model, known for its lightweight architecture and high-speed performance, was trained on a carefully annotated dataset, employing data augmentation techniques to enhance robustness. Evaluation metrics such as mAP (mean Average Precision), Precision, Recall, and F1-Score were utilized to assess the model's effectiveness. Experimental results demonstrat...
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- Final Year Project (FYP)
Authors: Đao, Quy Tien; Advisor: Nguyen, Dang Khoa (2025) - In today’s digital era, online communication platforms are no longer just tools for interaction but have become pivotal in fostering connections and the growth of communities across education, work, and entertainment. A professional web application that supports communication and online community management not only provides an effective solution but also caters to the diverse needs of users, from exchanging information to managing complex activities. This project presents an opportunity to explore real-time communication technology and apply modern solutions such as WebSocket, NoSQL, and REST APIs. Simultaneously, it enhances programming skills, system design, and the deployment of o...
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- Final Year Project (FYP)
Authors: Ngo, Mai Anh; Advisor: Tran, Duc Quynh (2024) - This study employs a quantitative approach to analyze and forecast sales for kiosks at Nội Bài (Hanoi) and Tân Sơn Nhất (Ho Chi Minh City) airports, using advanced
statistical models and predictive analytics. The research focuses on examining historical sales data from 2021 to 2024 to identify seasonal trends, purchasing behaviors, and key drivers of revenue performance in the airport retail environment. Seasonal peaks, particularly during the Tết holiday and summer travel periods, were identified as major contributors to revenue, emphasizing the impact of high passenger volumes and demand fluctuations on sales. The analysis evaluates multiple forecasting models, including ARIMA, Wei...
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- Final Year Project (FYP)
Authors: Le, Thi Nhung; Advisor: Nguyen, Dang Khoa (2025) - This paper outlines the design and implementation of a control algorithm for a selfbalancing robot using Deep Reinforcement Learning, specifically the Deep Q-learning algorithm. Self-balancing robots represent a significant search area in robotics, as they require advanced control strategies to maintain stability and adapt to changing environmental conditions. The primary objective of this research is to develop an intelligent system capable of maintaining balance and performing precise maneuvers in response to disturbances and varying circumstances. The Deep Q-learning algorithm enables a robot to learn optimal control policies by interacting with a simulated environment. In this sce...
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- Final Year Project (FYP)
Authors: Cao, Nguyễn Long; Advisor: Nguyễn, Đăng Khoa (2025) - Create a user-friendly interface that allows gamers to explore and purchase skins, bundles, and other items. Integrate real-time inventory updates, secure payment methods, and order tracking. Facilitate efficient management of item catalogs, user accounts, and sales reports. Enhance user engagement through personalized experiences and streamlined navigation.
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- Final Year Project (FYP)
Authors: Nguyen, Ngoc Khanh (2024) - a
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Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 229
