Diep N. Nguyen
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View article: Risk of falls in the older adult at Thai Binh Medical University Hospital and its related factors in 2024
Risk of falls in the older adult at Thai Binh Medical University Hospital and its related factors in 2024 Open
Background Falls represent a significant health threat to the older adult, often leading to severe disability and a decline in functional independence. Effective strategies for early prediction and detection are therefore essential to ensu…
View article: A study on the RIMPUFF module (ARGOS) and simulation of radiation dispersion from a hypothetical floating nuclear power plant accident in the East Sea
A study on the RIMPUFF module (ARGOS) and simulation of radiation dispersion from a hypothetical floating nuclear power plant accident in the East Sea Open
In this study, the RIMPUFF module (ARGOS) was used to simulate the Fukushima-Daiichi nuclear power plant accident (FNPPA), thereby assessing the research team’s capability in using the program. The FNPPA simulation results showed good agre…
View article: Triple Synchronous Colorectal Cancer: An Extremely Rare Case Underscoring the Need for Careful Perioperative Evaluation
Triple Synchronous Colorectal Cancer: An Extremely Rare Case Underscoring the Need for Careful Perioperative Evaluation Open
Synchronous colorectal cancer (SCRC) is characterized by the simultaneous occurrence of two or more primary colorectal malignancies, diagnosed either preoperatively, intraoperatively, or within six months postoperatively. The rare prevalen…
View article: 83 Current status and intervention solutions to improve the quality of life for patient with post COVID-19 syndrome in Thai Binh, Viet Nam
83 Current status and intervention solutions to improve the quality of life for patient with post COVID-19 syndrome in Thai Binh, Viet Nam Open
View article: A tissue-scale strategy for sensing threats in barrier organs
A tissue-scale strategy for sensing threats in barrier organs Open
Summary Barrier organs rely on a limited set of pattern recognition receptors (PRRs) to detect diverse immunogenic challenges. How organs assess threats and adjust immune responses to balance host protection with collateral tissue damage r…
View article: Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning
Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning Open
Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digital health applications, and biological assets, including microorganisms. However, the hypothesis posits that implementing micro- and nanos…
View article: Right Reward Right Time for Federated Learning
Right Reward Right Time for Federated Learning Open
Critical learning periods (CLPs) in federated learning (FL) refer to early stages during which low-quality contributions (e.g., sparse training data availability) can permanently impair the learning performance of the global model owned by…
View article: Few-shot Continual Relation Extraction via Open Information Extraction
Few-shot Continual Relation Extraction via Open Information Extraction Open
Typically, Few-shot Continual Relation Extraction (FCRE) models must balance retaining prior knowledge while adapting to new tasks with extremely limited data. However, real-world scenarios may also involve unseen or undetermined relations…
View article: Associations of sleep quality and fall risk among older adult outpatients at Thai Binh Medical University Hospital, Northern Vietnam
Associations of sleep quality and fall risk among older adult outpatients at Thai Binh Medical University Hospital, Northern Vietnam Open
Introduction Poor sleep quality negatively impact health, reducing quality of life and increasing disease risk. For the elderly, poor sleep quality lead to fatigue and reduced mobility, increasing the risk of falls. In Vietnam, no studies …
View article: Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data Open
Anomaly detection (AD) plays a pivotal role in AI applications, e.g., in classification, and intrusion/threat detection in cybersecurity. However, most existing methods face challenges of heterogeneity amongst feature subsets posed by non-…
View article: Efficient STAR-RIS Mode for Energy Minimization in WPT-FL Networks with NOMA
Efficient STAR-RIS Mode for Energy Minimization in WPT-FL Networks with NOMA Open
With the massive deployment of IoT devices in 6G networks, several critical challenges have emerged, such as large communication overhead, coverage limitations, and limited battery lifespan. FL, WPT, multi-antenna AP, and RIS can mitigate …
View article: Seismic Fragility Analysis for Prestressed Concrete Containments for Nuclear Power Plants Based on Stripe-Based Approach
Seismic Fragility Analysis for Prestressed Concrete Containments for Nuclear Power Plants Based on Stripe-Based Approach Open
View article: A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks
A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks Open
With the growing demand for computational and storage capabilities of modern learning models, performing their computation exclusively in a centralized manner has become increasingly impractical. Executing the inference of foundation model…
View article: Secure and Efficient UAV-Based Face Detection via Homomorphic Encryption and Edge Computing
Secure and Efficient UAV-Based Face Detection via Homomorphic Encryption and Edge Computing Open
View article: Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption Open
This work proposes a novel privacy-preserving cyberattack detection framework for blockchain-based Internet-of-Things (IoT) systems. In our approach, artificial intelligence (AI)-driven detection modules are strategically deployed at block…
View article: TRANSLATION INTERNSHIP MODULE: SUGGESTIONS FOR IMPROVEMENTS TO BETTER MEET THE COURSE OUTCOME STANDARDS AT THE FACULTY OF ENGLISH, HANOI OPEN UNIVERSITY
TRANSLATION INTERNSHIP MODULE: SUGGESTIONS FOR IMPROVEMENTS TO BETTER MEET THE COURSE OUTCOME STANDARDS AT THE FACULTY OF ENGLISH, HANOI OPEN UNIVERSITY Open
The study aimed to assess the current implementation of the Translation Internship Module at the faculty of English, Hanoi Open University, so as to propose methods to evaluate the Translation Internship module in accordance with the orien…
View article: Protocol Design for Irregular Repetition Slotted ALOHA With Energy Harvesting to Maintain Information Freshness
Protocol Design for Irregular Repetition Slotted ALOHA With Energy Harvesting to Maintain Information Freshness Open
We investigate an internet-of-things system where energy-harvesting devices send status updates to a common receiver using the irregular repetition slotted ALOHA (IRSA) protocol. Energy shortages in these devices may lead to transmission f…
View article: Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning Open
Spectrum access is an essential problem in device-to-device (D2D) communications. However, with the recent growth in the number of mobile devices, the wireless spectrum is becoming scarce, resulting in low spectral efficiency for D2D commu…
View article: Point Cloud Compression with Bits-back Coding
Point Cloud Compression with Bits-back Coding Open
This paper introduces a novel lossless compression method for compressing geometric attributes of point cloud data with bits-back coding. Our method specializes in using a deep learning-based probabilistic model to estimate the Shannon's e…
View article: A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing
A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing Open
The ability to estimate 3D movements of users over edge computing-enabled networks, such as 5G/6G networks, is a key enabler for the new era of extended reality (XR) and Metaverse applications. Recent advancements in deep learning have sho…
View article: Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks Open
This paper aims to propose a novel framework to address the data privacy issue for Federated Learning (FL)-based Intrusion Detection Systems (IDSs) in Internet-of-Vehicles(IoVs) with limited computational resources. In particular, in conve…
View article: Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks
Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks Open
With the ever-increasing popularity of blockchain applications, securing\nblockchain networks plays a critical role in these cyber systems. In this\npaper, we first study cyberattacks (e.g., flooding of transactions, brute pass)\nin blockc…
View article: DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems
DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems Open
The End-to-end (E2E) learning-based approach has great potential to reshape the existing communication systems by replacing the transceivers with deep neural networks. To this end, the E2E learning approach needs to assume the availability…
View article: Risk-Aware Antenna Selection for Multiuser Massive MIMO Under Incomplete CSI
Risk-Aware Antenna Selection for Multiuser Massive MIMO Under Incomplete CSI Open
This paper investigates the antenna selection problem in massive multiple-input multiple-out (MIMO) systems under incomplete channel state information (CSI), with a particular interest on risk-aware planning subjected to practical constrai…
View article: Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems Open
While intrusion detection systems (IDSs) benefit from the diversity and generalization of IoT data features, the data diversity (e.g., the heterogeneity and high dimensions of data) also makes it difficult to train effective machine learni…
View article: Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection Open
Representation learning (RL) methods for cyberattack detection face the diversity and sophistication of attack data, leading to the issue of mixed representations of different classes, particularly as the number of classes increases. To ad…
View article: Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications
Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications Open
Terrestrial networks form the fundamental infrastructure of modern communication systems, serving more than 4 billion users globally. However, terrestrial networks are facing a wide range of challenges, from coverage and reliability to int…
View article: CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins
CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins Open
Digital twins (DTs) are revolutionizing the biotechnology industry by enabling sophisticated digital representations of biological assets, microorganisms, drug development processes, and digital health applications. However, digital twinni…
View article: Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study
Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study Open
Generative Artificial Intelligence (GAI) has recently emerged as a promising solution to address critical challenges of blockchain technology, including scalability, security, privacy, and interoperability. In this paper, we first introduc…
View article: A Novel Blockchain Based Information Management Framework for Web 3.0
A Novel Blockchain Based Information Management Framework for Web 3.0 Open
Web 3.0 is the third generation of the World Wide Web (WWW), concentrating on the critical concepts of decentralization, availability, and increasing client usability. Although Web 3.0 is undoubtedly an essential component of the future In…