Hung Nguyen
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View article: Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning Open
We study the problem of online multi-agent reinforcement learning (MARL) in environments with sparse rewards, where reward feedback is not provided at each interaction but only revealed at the end of a trajectory. This setting, though real…
View article: Hybrid deep learning model for improving the operational efficiency of microgrids
Hybrid deep learning model for improving the operational efficiency of microgrids Open
Forecasting renewable energy output is crucial for efficient power system operation as their penetration rises. Solar and wind power, highly weather-dependent, require accurate, flexible forecasting methods. This study proposes a hybrid mo…
View article: MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations
MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations Open
We study offline imitation learning (IL) in cooperative multi-agent settings, where demonstrations have unlabeled mixed quality - containing both expert and suboptimal trajectories. Our proposed solution is structured in two stages: trajec…
View article: RRT-CS: A free-collision planner for capsule-like SCORBOT by iterated learning
RRT-CS: A free-collision planner for capsule-like SCORBOT by iterated learning Open
In this study, we present an enhanced Rapidly-exploring Random Trees (RRT) algorithm integrated with a visual servoing technique for recognizing unknown environments. The robotic platform utilized is the SCORBOT-ER-VII, which consists of f…
View article: PRELIMINARY RESULTS OF AI APPLICATION IN PREDICTING PRENATAL WEIGHT IN VIET NAM
PRELIMINARY RESULTS OF AI APPLICATION IN PREDICTING PRENATAL WEIGHT IN VIET NAM Open
Objective: Our research aims to propose the application of AI in improving the accuracy for estimating fetal weight. Method: This is a cross-sectional analytical study combining the development and comparison of predictive models supported…
View article: Enhancing Diagnostic Accuracy for Knee Osteoarthritis Using a Deep Learning Approach
Enhancing Diagnostic Accuracy for Knee Osteoarthritis Using a Deep Learning Approach Open
This research introduces a deep learning framework that combines convolutional neural networks with autoencoders to improve the diagnostic accuracy of knee osteoarthritis. The study utilized a publicly available dataset from the Mendeley D…
View article: O-MAPL: Offline Multi-agent Preference Learning
O-MAPL: Offline Multi-agent Preference Learning Open
Inferring reward functions from demonstrations is a key challenge in reinforcement learning (RL), particularly in multi-agent RL (MARL), where large joint state-action spaces and complex inter-agent interactions complicate the task. While …
View article: A NOVEL TOOL FOR EXTRACTING FREQUENCY CURVES FROM LARGE-SCALE DATA TO DETECT ROLLING BEARING FAULTS UNDER NON-STATIONARY CONDITIONS
A NOVEL TOOL FOR EXTRACTING FREQUENCY CURVES FROM LARGE-SCALE DATA TO DETECT ROLLING BEARING FAULTS UNDER NON-STATIONARY CONDITIONS Open
Investigating vibrations in mechanical transmission systems to detect and identify the causes of abnormal vibrations remains a prominent focus for researchers. Within industrial transmission systems, rolling bearings play a pivotal role. U…
View article: Analyzing Community Pharmacists’ Knowledge and Behavior Regarding the Sale of Functional Foods at Pharmacy Retailers in the Mekong Delta, Vietnam
Analyzing Community Pharmacists’ Knowledge and Behavior Regarding the Sale of Functional Foods at Pharmacy Retailers in the Mekong Delta, Vietnam Open
Background After the Covid-19 pandemic, there has been a notable increase in people's demand for and usage of functional foods at pharmacy retailers. Consequently, the role of drug sellers in providing guidance and recommendations for the …
View article: Objective Assessment of Upper-Extremity Motor Functions in Spinocerebellar Ataxia Using Wearable Sensors
Objective Assessment of Upper-Extremity Motor Functions in Spinocerebellar Ataxia Using Wearable Sensors Open
The study presents a novel approach to objectively assessing the upper-extremity motor symptoms in spinocerebellar ataxia (SCA) using data collected via a wearable sensor worn on the patient’s wrist during upper-extremity tasks associated …
View article: Harnessing Digital Health to Objectively Assess Functional Performance in Veterans with Chronic Obstructive Pulmonary Disease
Harnessing Digital Health to Objectively Assess Functional Performance in Veterans with Chronic Obstructive Pulmonary Disease Open
Introduction: An early detection of impaired functional performance is critical to enhance symptom management for patients with chronic obstructive pulmonary disease (COPD). However, conventional functional measures based on walking assess…
View article: Association Between Wearable Device–Based Measures of Physical Frailty and Major Adverse Events Following Lower Extremity Revascularization
Association Between Wearable Device–Based Measures of Physical Frailty and Major Adverse Events Following Lower Extremity Revascularization Open
In this cohort study, measuring physical frailty using a wrist-worn sensor during a short upper extremity test was a practical method for stratifying the risk of MAEs following revascularization for CLTI when the administration of gait-bas…
View article: Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection Open
Hate-speech detection on social network language has become one of the main researching fields recently due to the spreading of social networks like Facebook and Twitter. In Vietnam, the threat of offensive and harassment cause bad impacts…
View article: Remote Physical Frailty Monitoring– The Application of Deep Learning-Based Image Processing in Tele-Health
Remote Physical Frailty Monitoring– The Application of Deep Learning-Based Image Processing in Tele-Health Open
Remote screening physical frailty (PF) may assist in triaging patients with chronic obstructive pulmonary disease (COPD) who are in clinical priorities to visit a clinical center for preventive care. Conventional PF assessment tools have h…
View article: DETECTION OF FORWARD PROPULSION USING A SINGLE ACCELEROMETER DURING WALKING IN OLDER POPULATION
DETECTION OF FORWARD PROPULSION USING A SINGLE ACCELEROMETER DURING WALKING IN OLDER POPULATION Open
In the geriatric population, diminished ankle joint moment and weak plantar flexor can contribute to inadequate forward propulsion and negatively impact gait performance, which can lead to poor energetic efficiency. Detection of propulsion…
View article: OPERATIONALIZING THE FRAILTY INDEX BASED ON WEARABLE SENSOR TO ASSESS FUNCTIONAL PERFORMANCE IN OLDER ADULTS
OPERATIONALIZING THE FRAILTY INDEX BASED ON WEARABLE SENSOR TO ASSESS FUNCTIONAL PERFORMANCE IN OLDER ADULTS Open
Frailty status is a well-known predictor of adverse health outcomes and functional performance. An assessment tool based on a wearable sensor was developed to quickly assess frailty using an upper extremity flexion and extension test. Howe…
View article: CHARACTERISTICS OF THE GAIT INITIATION PHASE IN OLDER ADULTS WITH DIABETIC PERIPHERAL NEUROPATHY
CHARACTERISTICS OF THE GAIT INITIATION PHASE IN OLDER ADULTS WITH DIABETIC PERIPHERAL NEUROPATHY Open
Impairment in steady-state gait in older adults with diabetic peripheral neuropathy (OADPN) is well-known, however little attention has been paid to the gait initiation phase in which postural transitions occur from upright standing to ste…
View article: Wellbuilt for wellbeing: Controlling relative humidity in the workplace matters for our health
Wellbuilt for wellbeing: Controlling relative humidity in the workplace matters for our health Open
This study offers a new perspective on the role of relative humidity in strategies to improve the health and wellbeing of office workers. A lack of studies of sufficient participant size and diversity relating relative humidity (RH) to mea…
View article: ANALYSIS OF PRESCRIPTION INDICATORS FOR OUTPATIENTS WITH HEALTH INSURANCE IN OUTPATIENTS DEPARTMENT AT CAN THO UNIVERSITY OF MEDICINE AND PHARMACY HOSPITAL IN THE PERIOD 2017-2018
ANALYSIS OF PRESCRIPTION INDICATORS FOR OUTPATIENTS WITH HEALTH INSURANCE IN OUTPATIENTS DEPARTMENT AT CAN THO UNIVERSITY OF MEDICINE AND PHARMACY HOSPITAL IN THE PERIOD 2017-2018 Open
Objective: The main objective of this study was to evaluate the drug prescription parameters and to find out the elements had an influence on the prescribing practice of doctors’.
Methods: A descriptive cross-sectional study was conducted…
View article: EVALUATION OF PRESCRIBING INDICATORS FOR PEADIATRIC OUTPATIENTS UNDER SIX YEARS OLD IN DISTRICT HOSPITALS OF CAN THO CITY IN THE PERIOD OF 2015-2016
EVALUATION OF PRESCRIBING INDICATORS FOR PEADIATRIC OUTPATIENTS UNDER SIX YEARS OLD IN DISTRICT HOSPITALS OF CAN THO CITY IN THE PERIOD OF 2015-2016 Open
Objective: Examining and comparing the primary and supplementary prescribing indicators in pediatric outpatients under six years old.
Methods: We performed a comparative cross-sectional study, over nine months, from September 2015. 800 pr…
View article: Remnants of Cardinal Symptoms of Parkinson's Disease, Not Dyskinesia, Are Problematic for Dyskinetic Patients Performing Activities of Daily Living
Remnants of Cardinal Symptoms of Parkinson's Disease, Not Dyskinesia, Are Problematic for Dyskinetic Patients Performing Activities of Daily Living Open
Introduction: The impact of levodopa-induced dyskinesia (LID) on the daily lives of patients with Parkinson's disease (PD) remains to be determined. Furthermore, evidence suggests that cardinal motor symptoms of PD may coexist with LID, bu…
View article: TOWARD SMART WEARABLE TO TRACK FRAILTY PHENOTYPES—MEASURING PROPULSION PERFORMANCE TO DETERMINE FRAILTY
TOWARD SMART WEARABLE TO TRACK FRAILTY PHENOTYPES—MEASURING PROPULSION PERFORMANCE TO DETERMINE FRAILTY Open
Objective: Large aging population has made it necessary to find biomarkers of frailty that can be measured in an unsupervised setting. Deterioration of gait performance during walking is often associated with frailty. Propulsion force embo…
View article: Toward Smart Footwear to Track Frailty Phenotypes—Using Propulsion Performance to Determine Frailty
Toward Smart Footwear to Track Frailty Phenotypes—Using Propulsion Performance to Determine Frailty Open
Frailty assessment is dependent on the availability of trained personnel and it is currently limited to clinic and supervised setting. The growing aging population has made it necessary to find phenotypes of frailty that can be measured in…