Thanh Tran
YOU?
Author Swipe
View article: Strong solutions for a class of stochastic thermo-magneto-hydrodynamic-type systems with multiplicative noise
Strong solutions for a class of stochastic thermo-magneto-hydrodynamic-type systems with multiplicative noise Open
We study the existence and uniqueness of strong solutions, in the sense of PDEs and probability, for a broad class of nonlinear stochastic partial differential equations (SPDEs) on a bounded domain $\mathscr{O}\subset \mathbb{R}^d$ ($d\leq…
View article: Building a digital workforce: The key to sustainable digital economic growth in Binh Duong province
Building a digital workforce: The key to sustainable digital economic growth in Binh Duong province Open
View article: Return Loss Optimization in Rectangular Microstrip Patch Antennas Using Response Surface Methodology (RSM) for 5G Applications
Return Loss Optimization in Rectangular Microstrip Patch Antennas Using Response Surface Methodology (RSM) for 5G Applications Open
In recent decades, wireless communication has advanced significantly. People increasingly rely on the Internet of Things, cloud computing, and big data analytics. These services require higher data rates, faster transmission and reception …
View article: Land subsidence hazards in Hanoi, Vietnam
Land subsidence hazards in Hanoi, Vietnam Open
The study area is located in the southwest of Hanoi, the capital of Vietnam, encompassing the districts of Quoc Oai, Chuong My, My Duc, and Ung Hoa. This region is densely populated and has experienced frequent collapses and land subsidenc…
View article: Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs Open
View article: Graph-Based Framework for Complex Traffic Sign Arrangements in Vietnam
Graph-Based Framework for Complex Traffic Sign Arrangements in Vietnam Open
As the demand for self-driving cars grows, the dependability of traffic sign recognition is critical to guaranteeing commuter safety. To overcome this issue, academics have investigated numerous techniques for traffic sign identification, …
View article: Fake Resume Attacks: Data Poisoning on Online Job Platforms
Fake Resume Attacks: Data Poisoning on Online Job Platforms Open
While recent studies have exposed various vulnerabilities incurred from data poisoning attacks in many web services, little is known about the vulnerability on online professional job platforms (e.g., LinkedIn and Indeed). In this work, fi…
View article: CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks Open
The Competition on Legal Information Extraction/Entailment (COLIEE) is held annually to encourage advancements in the automatic processing of legal texts. Processing legal documents is challenging due to the intricate structure and meaning…
View article: Stable $C^1$-conforming finite element methods for a class of nonlinear fourth-order evolution equations
Stable $C^1$-conforming finite element methods for a class of nonlinear fourth-order evolution equations Open
We propose some finite element schemes to solve a class of fourth-order nonlinear PDEs, which include the vector-valued Landau--Lifshitz--Baryakhtar equation, the Swift--Hohenberg equation, and various Cahn--Hilliard-type equations with so…
View article: A Systematic Review of Secure IoT Data Sharing
A Systematic Review of Secure IoT Data Sharing Open
The Internet of Things (IoT) is more and more omnipresent. The greater values of the IoT can be realized by enabling data sharing between different stakeholders. However, one of the biggest challenges is ensuring security and enabling trus…
View article: Uniqueness of the stochastic Keller-Segel model in one dimension
Uniqueness of the stochastic Keller-Segel model in one dimension Open
In a recent paper (J. Differential Equations, 310: 506-554, 2022), the authors proved the existence of martingale solutions to a stochastic version of the classical Patlak-Keller-Segel system in 1 dimension (1D), driven by time-homogeneous…
View article: An artificial neural network-based system for detecting machine failures using tiny sound data: A case study
An artificial neural network-based system for detecting machine failures using tiny sound data: A case study Open
In an effort to advocate the research for a deep learning-based machine failure detection system, we present a case study of our proposed system based on a tiny sound dataset. Our case study investigates a variational autoencoder (VAE) for…
View article: Denoising Induction Motor Sounds Using an Autoencoder
Denoising Induction Motor Sounds Using an Autoencoder Open
Denoising is the process of removing noise from sound signals while improving the quality and adequacy of the sound signals. Denoising sound has many applications in speech processing, sound events classification, and machine failure detec…
View article: Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding
Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding Open
Recent years have seen significant advances in multi-turn Spoken Language Understanding (SLU), where dialogue contexts are used to guide intent classification and slot filling. However, how to selectively incorporate dialogue contexts, suc…
View article: A deep learning approach for detecting drill bit failures from a small sound dataset
A deep learning approach for detecting drill bit failures from a small sound dataset Open
View article: A neural prosody encoder for end-ro-end dialogue act classification
A neural prosody encoder for end-ro-end dialogue act classification Open
Dialogue act classification (DAC) is a critical task for spoken language understanding in dialogue systems. Prosodic features such as energy and pitch have been shown to be useful for DAC. Despite their importance, little research has expl…
View article: Drilling sound dataset
Drilling sound dataset Open
In this dataset, sound from a drill machine in Valmet AB, Sundsvall, Sweden was recorded with four AudioBox iTwo Studio microphones. For capturing drill sounds, 96 kHz was used as the sampling rate. The dataset contains 134 sounds with len…
View article: Drilling sound dataset
Drilling sound dataset Open
In this dataset, sound from a drill machine in Valmet AB, Sundsvall, Sweden was recorded with four AudioBox iTwo Studio microphones. For capturing drill sounds, 96 kHz was used as the sampling rate. The dataset contains 134 sounds with len…
View article: JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning
JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning Open
In online job marketplaces, it is important to establish a well-defined job title taxonomy for various downstream tasks (e.g., job recommendation, users' career analysis, and turnover prediction). Job Title Normalization (JTN) is such a cl…
View article: Detecting Drill Failure in the Small Short-sound Drill Dataset
Detecting Drill Failure in the Small Short-sound Drill Dataset Open
Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping and repairing the failed components can minimize the downtime of the machine. This article presents…
View article: What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models
What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models Open
Gender information is no longer a mandatory input when registering for an account at many leading Internet companies. However, prediction of demographic information such as gender and age remains an important task, especially in interventi…
View article: FEM–BEM Coupling
FEM–BEM Coupling Open
View article: Indefinite Problems
Indefinite Problems Open
View article: Introduction
Introduction Open
View article: Two-Level Methods: The p-Version
Two-Level Methods: The p-Version Open
View article: The one-dimensional stochastic Keller--Segel model with time-homogeneous\n spatial Wiener processes
The one-dimensional stochastic Keller--Segel model with time-homogeneous\n spatial Wiener processes Open
Chemotaxis is a fundamental mechanism of cells and organisms, which is\nresponsible for attracting microbes to food, embryonic cells into developing\ntissues, or immune cells to infection sites. Mathematically chemotaxis is\ndescribed by t…
View article: Drill Fault Diagnosis Based on the Scalogram and Mel Spectrogram of Sound Signals Using Artificial Intelligence
Drill Fault Diagnosis Based on the Scalogram and Mel Spectrogram of Sound Signals Using Artificial Intelligence Open
In industry, the ability to detect damage or abnormal functioning in machinery is very important. However, manual detection of machine fault sound is economically inefficient and labor-intensive. Hence, automatic machine fault detection (M…
View article: HABERTOR: An Efficient and Effective Deep Hatespeech Detector
HABERTOR: An Efficient and Effective Deep Hatespeech Detector Open
We present our HABERTOR model for detecting hatespeech in large scale user-generated content. Inspired by the recent success of the BERT model, we propose several modifications to BERT to enhance the performance on the downstream hatespeec…
View article: Blood Cell Count Using Deep Learning Semantic Segmentation
Blood Cell Count Using Deep Learning Semantic Segmentation Open
Clinically, knowing the number of red blood cells (RBCs) and white blood cells (WBCs) helps doctors to make the better decision on accurate diagnosis of numerous diseases. The manual cell counting is a very time-consuming and expensive pro…
View article: Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation Open
In this paper, we aim to solve the automatic playlist continuation (APC) problem by modeling complex interactions among users, playlists, and songs using only their interaction data. Prior methods mainly rely on dot product to account for …