Thanh-Hai Tran
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View article: Symptom clusters and their influencing factors among Vietnamese women after cancer treatment
Symptom clusters and their influencing factors among Vietnamese women after cancer treatment Open
This study aimed to (1) identify symptom clusters in Vietnamese women with cancer and (2) examine the factors influencing those identified clusters. A cross-sectional study was conducted in 5 hospitals across Vietnam from September to Dece…
View article: Mamba-MHAR: An efficient multimodal framework for human action recognition
Mamba-MHAR: An efficient multimodal framework for human action recognition Open
Human Action Recognition (HAR) has emerged as an active research domain in recent years with wide-ranging applications in healthcare monitoring, smart home systems, and hu- man–robot interaction. This paper introduces a method, namely Mamb…
View article: FedNDA: Enhancing Federated Learning with Noisy Client Detection and Robust Aggregation
FedNDA: Enhancing Federated Learning with Noisy Client Detection and Robust Aggregation Open
Federated Learning is a novel decentralized methodology that enables multiple clients to collaboratively train a global model while preserving the privacy of their local data. Although federated learning enhances data privacy, it faces cha…
View article: Towards an Online Text-Based Person Search in Vietnamese Language
Towards an Online Text-Based Person Search in Vietnamese Language Open
In recent years, many efforts have been dedicated to text-based person search, thanks to its potential applications in various domains. However, most of these works focus on person search via queries in English and conduct offline evaluati…
View article: Classification of upper gastrointestinal tract diseases using endoscopic images
Classification of upper gastrointestinal tract diseases using endoscopic images Open
Automatic classification and disease detection in medical images, aided by machine learning, provide crucial support to prevent overlooked instances and ensure prompt treatment of diseases. Despite impressive achievements in the field of p…
View article: RehabHand—A New Physical Rehabilitation Training Dataset: Construction and Benchmark Performances of the Relevant Hand Tasks
RehabHand—A New Physical Rehabilitation Training Dataset: Construction and Benchmark Performances of the Relevant Hand Tasks Open
Physical training for a person with an impaired hand generally requires extensive guidance and supervision from rehabilitation therapists. Currently, the advantages of wearable sensing technologies and the breakthrough performances of deep…
View article: GIFCOS-DT: One Stage Detection of Gastrointestinal Tract Lesions From Endoscopic Images With Distance Transform
GIFCOS-DT: One Stage Detection of Gastrointestinal Tract Lesions From Endoscopic Images With Distance Transform Open
This study aims at developing a computer-aided diagnostic system based on deep learning techniques for detecting various typical lesions during endoscopic examinations in the human gastrointestinal tract. We propose a lesion detection mode…
View article: A case study on parametric verification of failure detectors
A case study on parametric verification of failure detectors Open
Partial synchrony is a model of computation in many distributed algorithms and modern blockchains. These algorithms are typically parameterized in the number of participants, and their correctness requires the existence of bounds on messag…
View article: Time-Frequency Features of Smartphone Accelerometer Data Collected from Bridges via a Passing Vehicle
Time-Frequency Features of Smartphone Accelerometer Data Collected from Bridges via a Passing Vehicle Open
This research presents preliminary vibration data characteristics indirectly collected from a bridge structure, i.e., vibration data obtained through smartphones placed in a vehicle.Repetitive vehicle trips are performed over a long-span b…
View article: Hand Gesture Recognition From Wrist-Worn Camera for Human–Machine Interaction
Hand Gesture Recognition From Wrist-Worn Camera for Human–Machine Interaction Open
International audience
View article: LG-Hand: Advancing 3D Hand Pose Estimation with Locally and Globally Kinematic Knowledge
LG-Hand: Advancing 3D Hand Pose Estimation with Locally and Globally Kinematic Knowledge Open
3D hand pose estimation from RGB images suffers from the difficulty of obtaining the depth information. Therefore, a great deal of attention has been spent on estimating 3D hand pose from 2D hand joints. In this paper, we leverage the adva…
View article: Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking
Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking Open
Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers. However, auto…
View article: DCS-UNet: Dual-Path Framework for Segmentation of Reflux Esophagitis Lesions from Endoscopic Images with U-Net-Based Segmentation and Color/Texture Analysis
DCS-UNet: Dual-Path Framework for Segmentation of Reflux Esophagitis Lesions from Endoscopic Images with U-Net-Based Segmentation and Color/Texture Analysis Open
Automatic analysis of medical images and endoscopic images, in particular, is an attractive research topic in recent years. To achieve this goal, many tasks must be conducted for example lesion detection, segmentation, and classification. …
View article: Hand Activity Recognition From Automatic Estimated Egocentric Skeletons Combining Slow Fast and Graphical Neural Networks
Hand Activity Recognition From Automatic Estimated Egocentric Skeletons Combining Slow Fast and Graphical Neural Networks Open
In this paper, we present an unified framework for understanding hand action from the first-person video. The proposed framework composes two main components. The first component estimates three-dimensional (3D) hand joints from RGB images…
View article: Optimising the quality of multidisciplinary team meetings: A narrative review
Optimising the quality of multidisciplinary team meetings: A narrative review Open
Background Understanding of factors that contribute to implementation of effective cancer multidisciplinary team meetings (MDMs) is still limited. Published literature on the effect of teamwork function, leadership roles, decision‐making p…
View article: A case study on parametric verification of failure detectors
A case study on parametric verification of failure detectors Open
Partial synchrony is a model of computation in many distributed algorithms and modern blockchains. These algorithms are typically parameterized in the number of participants, and their correctness requires the existence of bounds on messag…
View article: Pairwise-Covariance Multi-view Discriminant Analysis for Robust Cross-View Human Action Recognition
Pairwise-Covariance Multi-view Discriminant Analysis for Robust Cross-View Human Action Recognition Open
Human action recognition (HAR) under different camera viewpoints is the most critical requirement for practical deployment. In this paper, we propose a novel method that leverages successful deep learning-based features for action represen…
View article: SensCapsNet: Deep Neural Network for Non-Obtrusive Sensing Based Human Activity Recognition
SensCapsNet: Deep Neural Network for Non-Obtrusive Sensing Based Human Activity Recognition Open
Recently, the recent advancement of deep learning with the capacity to perform automatic high-level feature extraction has achieved promising performance for sensor-based human activity recognition (HAR). Among different deep learning meth…
View article: TLA+ model checking made symbolic
TLA+ model checking made symbolic Open
TLA+ is a language for formal specification of all kinds of computer systems. System designers use this language to specify concurrent, distributed, and fault-tolerant protocols, which are traditionally presented in pseudo-code. TLA+ is ex…
View article: Robustness Analysis of 3D Convolutional Neural Network for Human Hand Gesture Recognition
Robustness Analysis of 3D Convolutional Neural Network for Human Hand Gesture Recognition Open
Recently, a number of methods for dynamic hand gesture recognition has been proposed.However, deployment of such methods in a practical application still has to face with many challenges due to the variation of view point, complex backgrou…
View article: BmcMT: Bounded Model Checking of TLA + Specifications with SMT
BmcMT: Bounded Model Checking of TLA + Specifications with SMT Open
We present the development version of BmcMT—a symbolic model checker for TLA+. It finds, whether a TLA+ specification satisfies an invariant candidate by checking satisfiability of an SMT formula that encodes: (1) an execution of bounded l…
View article: Obstacle detection and warning system for visually impaired people based on electrode matrix and mobile Kinect
Obstacle detection and warning system for visually impaired people based on electrode matrix and mobile Kinect Open
Obstacle detection and warning can improve the mobility as well as the safety of visually impaired people specially in unfamiliar environments. For this, firstly, obstacles are detected and localized and then the information of the obstacl…