Andy Nguyễn
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View article: Comprehensive profiling of COVID-19 severity using NULISAseq: Predictive insights and immune dynamics from the IMPACC study 2209
Comprehensive profiling of COVID-19 severity using NULISAseq: Predictive insights and immune dynamics from the IMPACC study 2209 Open
Description Objective This study evaluates the ability of NULISAseq to predict COVID-19 severity and elucidate immune response dynamics, comparing its performance with the Olink platform using a subset of the IMPACC cohort. Methods We anal…
View article: Plasma proteomic signatures of preclinical Alzheimer’s disease biomarkers and memory in clinically unimpaired older adults
Plasma proteomic signatures of preclinical Alzheimer’s disease biomarkers and memory in clinically unimpaired older adults Open
Background Multianalyte plasma proteomic panels that can accurately detect initial AD pathology in preclinical populations and simultaneously measure related biological processes relevant for disease risk are critical for advancing early d…
View article: Drone Imaging and Sensors for Situational Awareness in Hazardous Environments: A Systematic Review
Drone Imaging and Sensors for Situational Awareness in Hazardous Environments: A Systematic Review Open
Situation awareness is essential for ensuring safety in hazardous environments, where timely and accurate information is critical for decision-making. Unmanned Aerial Vehicles (UAVs) have emerged as valuable tools in enhancing situation aw…
View article: Management of Skeletal Class III Malocclusion With Complex Problems of Severe Crowding and Open Bite by Two-Arch Distalization Using Clear Aligners and Miniscrews: A Case Report
Management of Skeletal Class III Malocclusion With Complex Problems of Severe Crowding and Open Bite by Two-Arch Distalization Using Clear Aligners and Miniscrews: A Case Report Open
Background : Clear aligner treatment is gradually becoming popular in orthodontics not only for its aesthetic appeal and convenience but also for its effectiveness in certain types of tooth movements, particularly molar distalization. Ther…
View article: Exploring GenAI Technologies within Collaborative Learning
Exploring GenAI Technologies within Collaborative Learning Open
View article: C2L3-Fusion: An Integrated 3D Object Detection Method for Autonomous Vehicles
C2L3-Fusion: An Integrated 3D Object Detection Method for Autonomous Vehicles Open
Accurate 3D object detection is crucial for autonomous vehicles (AVs) to navigate safely in complex environments. This paper introduces a novel fusion framework that integrates Camera image-based 2D object detection using YOLOv8 and LiDAR …
View article: Effect of Camera Choice on Image-Classification Inference
Effect of Camera Choice on Image-Classification Inference Open
The field of image classification using Convolutional Neural Networks (CNNs) to predict the principal object in an image has seen many recent innovations. One aspect that has not been extensively explored is the effect of the camera employ…
View article: Optimising Concrete Crack Detection: A Study of Transfer Learning with Application on Nvidia Jetson Nano
Optimising Concrete Crack Detection: A Study of Transfer Learning with Application on Nvidia Jetson Nano Open
The use of Artificial Intelligence (AI) to detect defects such as concrete cracks in civil and transport infrastructure has the potential to make inspections less expensive, quicker, safer and more objective by reducing the need for on-sit…
View article: Safe Reference Tracking and Collision Avoidance for Taxiing Aircraft Using an MPC-CBF Framework
Safe Reference Tracking and Collision Avoidance for Taxiing Aircraft Using an MPC-CBF Framework Open
In this paper, we develop a framework for the automatic taxiing of aircraft between hangar and take-off given a graph-based model of an airport. We implement a high-level path-planning algorithm that models taxiway intersections as nodes i…
View article: Letter to the Editor: A brief insight into the NDT in the UK
Letter to the Editor: A brief insight into the NDT in the UK Open
The UK has traditionally been strong in NDT techniques. However, there is no notable endeavor to review the recent activities comprehensively. This letter to the editor presents a brief insight into the NDT in the UK and identifies critica…
View article: Damage Identification in Large‐Scale Bridge Girders Using Output‐Only Modal Flexibility–Based Deflections and Span‐Similar Virtual Beam Models
Damage Identification in Large‐Scale Bridge Girders Using Output‐Only Modal Flexibility–Based Deflections and Span‐Similar Virtual Beam Models Open
Damage identification (DI) methods using changes in static and modal flexibility (MF)–based deflections are effective tools to assess the damage in beam‐like structures due to the explicit relationships between deflection change and stiffn…
View article: ASR crack identification in bridges using deep learning and texture analysis
ASR crack identification in bridges using deep learning and texture analysis Open
Alkali-Silica Reaction (ASR), commonly known as 'concrete cancer,' is an expansive reaction occurring over time between aggregate constituents and alkaline hydroxides from cement. As a destructive phenomenon, the need to detect the onset o…
View article: APPLYING 2D NUMERICAL MODEL TO CALCULATE THE SCOUR AT THE CUA DAI BRIDGE, QUANG NAM PROVINCE
APPLYING 2D NUMERICAL MODEL TO CALCULATE THE SCOUR AT THE CUA DAI BRIDGE, QUANG NAM PROVINCE Open
When the Cua Dai bridge is built across the Thu Bon River, it causes a narrowing of the flow leading to scour, which seriously threatens the pier and endangers the structure. In order to limit the influence of scour the bridge, it is neces…
View article: Evaluation of the efficiency of the secondary corrosion protection of steel reinforcement bars in concrete using a bimetallic batch sensor
Evaluation of the efficiency of the secondary corrosion protection of steel reinforcement bars in concrete using a bimetallic batch sensor Open
Bimetallic batch sensors allow evaluating the protective effect of compositions used for the secondary corrosion protection of reinforced concrete.Such compositions significantly reduce the permeability of concrete due to hydrophobization …
View article: A novel approach for deterioration and damage identification in building structures based on Stockwell-Transform and deep convolutional neural network
A novel approach for deterioration and damage identification in building structures based on Stockwell-Transform and deep convolutional neural network Open
In this paper, a novel deterioration and damage identification procedure (DIP) is presented and applied to building models. The challenge associated with applications on these types of structures is related to the strong correlation of res…
View article: Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam
Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam Open
Due to the limitation of sample size in predicting the torsional strength of Reinforced Concrete (RC) beams, this paper aims to discuss the feasibility of employing a novel machine learning approach with K-fold cross-validation in a small …
View article: Latest Advances in Finite Element Modelling and Model Updating of Cable-Stayed Bridges
Latest Advances in Finite Element Modelling and Model Updating of Cable-Stayed Bridges Open
As important links in the transport infrastructure system, cable-stayed bridges are among the most popular candidates for implementing structural health monitoring (SHM) technology. The primary aim of SHM for these bridges is to ensure the…
View article: Influence of image noise on crack detection performance of deep convolutional neural networks
Influence of image noise on crack detection performance of deep convolutional neural networks Open
Development of deep learning techniques to analyse image data is an expansive and emerging field. The benefits of tracking, identifying, measuring, and sorting features of interest from image data has endless applications for saving cost, …
View article: Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures
Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures Open
In this paper, we present an application of 2-D convolutional neural networks (2-D CNNs) designed to perform both feature extraction and classification stages as a single organism to solve the highlighted problems. The method uses a networ…
View article: Nghiên cứu phương pháp tạo mô hình bề mặt phục vụ đo đạc biến dạng kết cấu bằng công nghệ tương quan hình ảnh
Nghiên cứu phương pháp tạo mô hình bề mặt phục vụ đo đạc biến dạng kết cấu bằng công nghệ tương quan hình ảnh Open
Tại Việt Nam, đo đạc biến dạng trong kết cấu thường phụ thuộc vào hai loại cảm biến chính là cảm biến điện trở và cảm biến dây rung. Nhược điểm của những phương pháp đo đạc cổ điển này là các cảm biến phải được gắn trực tiếp vào cấu kiện, …
View article: Fall Detection: Threshold Analysis of Wrist-Worn Motion Sensor Signals
Fall Detection: Threshold Analysis of Wrist-Worn Motion Sensor Signals Open
In this paper, we present a detection algorithm that accurately differentiates the event of a person falling from normal Activities of Daily Living (ADL). Our algorithm processes signals recorded from accelerometers and gyroscopes built in…
View article: Special Issue: Real World Application of SHM in Australia
Special Issue: Real World Application of SHM in Australia Open
Australian Network of Structural Health Monitoring (ANSHM) was established in 2009 to promote and advance the field of SHM in Australia and the association has grown considerably since then. By November of 2018, ANSHM has the membership ma…
View article: From Concept to Reality: Sharing Insights and Pathways for Enabling Experiential Learning in Real-time Sensing
From Concept to Reality: Sharing Insights and Pathways for Enabling Experiential Learning in Real-time Sensing Open
CONTEXT:\n21st Century engineering demands competency in data retrieval, storage and management, where possible in real or near-real time. From design through to operation, maintenance and disassembly, it is critical for engineers to harne…
View article: Damage identification in a complex truss structure using modal characteristics correlation method and sensitivity-weighted search space
Damage identification in a complex truss structure using modal characteristics correlation method and sensitivity-weighted search space Open
Damage identification for complex structures is a challenging task due to the large amount of structural elements, limited number of measured modes and uncertainties in referenced numerical models. This article presents a study on enhancin…
View article: Reliability-based load-carrying capacity assessment of bridges using structural health monitoring and nonlinear analysis
Reliability-based load-carrying capacity assessment of bridges using structural health monitoring and nonlinear analysis Open
For assessment of existing bridges, load rating is usually performed to assess the capacity against vehicular loading. Codified load rating can be conservative if the rating is not coupled with the field data or if simplifications are inco…
View article: Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data
Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data Open
In recent years, it has become increasingly important to develop methodologies for reliable deterioration assessment of civil structures over their life cycle to facilitate maintenance and/or rehabilitation planning processes. Several appr…
View article: Output-only modal testing and monitoring of civil engineering structures: instrumentation and test management
Output-only modal testing and monitoring of civil engineering structures: instrumentation and test management Open
Development of output-only modal testing and monitoring systems of real civil engineering structures albeit very appealing have been very challenging to engineers of any progression. This paper analyses some of the most critical issues tha…
View article: Damage quantification in beam-like structures from modal flexibility change
Damage quantification in beam-like structures from modal flexibility change Open
An approach to quantify the severity of damage in Euler-Bernoulli beams from changes in modal flexibility is presented. The approach is built on two pillars. The first is the connection between flexibility relative change (RFC) and the dam…
View article: Assessment of flexural stiffness and load carrying capacity using substructural system
Assessment of flexural stiffness and load carrying capacity using substructural system Open
The evaluation philosophy of an existing structure must differ from the design philosophy of a new structure. Many parameters are related to the structural properties and among them, stiffness and boundary conditions are governing factors …
View article: Comparative study of damage detection in symmetric and asymmetric buildings
Comparative study of damage detection in symmetric and asymmetric buildings Open
Aesthetics and functionality requirements have made most buildings asymmetric in recent times. Such buildings exhibit complex vibration under dynamic loads as there is coupling between the lateral and torsional components of vibration, and…