Ha Xuan Nguyen
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View article: Examining Self-Regulated Learning Processes in Design Tasks with Large Language Models
Examining Self-Regulated Learning Processes in Design Tasks with Large Language Models Open
View article: The use of PINN in analyzing two-dimensional elastoplastic problems
The use of PINN in analyzing two-dimensional elastoplastic problems Open
By utilizing characteristics of neural networks, the Physics-Informed Neural Network (PINN) is truly an innovative method in dealing with differential equations. Despite being proposed and developed recently, it still brings an outstanding…
View article: Nonlinear analysis of three-dimensional hyperelastic problems using radial point interpolation method
Nonlinear analysis of three-dimensional hyperelastic problems using radial point interpolation method Open
Hyperelastic materials are primarily common in real life as well as in industry applications, and studying this kind of material is still an active research area. Naturally, the characteristic of hyperelastic material will be expressed whe…
View article: Benchmarking AlphaSC: A Leap in Single-Cell Data Processing
Benchmarking AlphaSC: A Leap in Single-Cell Data Processing Open
A bstract We benchmarked AlphaSC, BioTuring’s GPU-accelerated single-cell analytics package, against other popular tools including Scanpy, Seurat, and RAPIDS. The results demonstrate that AlphaSC operates thousands of times faster than Seu…
View article: Session 5C : Artificial Intelligent 5
Session 5C : Artificial Intelligent 5 Open
View article: Deep Learning Based Modelling of Three-Dimensional Magnetic Field
Deep Learning Based Modelling of Three-Dimensional Magnetic Field Open
View article: Deep Learning Based Modelling of Three-dimensional Magnetic Field
Deep Learning Based Modelling of Three-dimensional Magnetic Field Open
Computation of the magnetic field generated by permanent magnets is essential in the design and optimization of a wide range of applications.However, the existing methods to calculate the magnetic field can be time-consuming or ungeneralis…
View article: Adaptive infinite dropout for noisy and sparse data streams
Adaptive infinite dropout for noisy and sparse data streams Open
View article: Auto-Tuning Controller Using MLPSO With K-Means Clustering and Adaptive Learning Strategy for PMSM Drives
Auto-Tuning Controller Using MLPSO With K-Means Clustering and Adaptive Learning Strategy for PMSM Drives Open
This paper proposes a new online auto-tuning method to improve the accuracy and reduce the tuning time of permanent magnet synchronous motor (PMSM) drives. Under varying loads, the ability to tune the controllers of PMSM drives using optim…
View article: Protecting minority shareholders from oppressive conduct: assessing the legal transfer of the Australian oppression sections to the Vietnamese litigation provisions
Protecting minority shareholders from oppressive conduct: assessing the legal transfer of the Australian oppression sections to the Vietnamese litigation provisions Open
Promoting fairness in the market, through adequate protection for minority shareholders, has been identified as an essential prerequisite to attracting investments and developing Vietnam‘s economy. Incorporating such minority shareholder p…
View article: Robot Calibration Method Based on Extended Kalman Filter–Dual Quantum Behaved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System
Robot Calibration Method Based on Extended Kalman Filter–Dual Quantum Behaved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System Open
This paper combines the extended Kalman filter (EKF), dual quantum-behaved particle swarm optimization (DQPSO), and adaptive neuro-fuzzy inference system (ANFIS) to propose a novel robot calibration method. Robot precision is influenced by…
View article: A Linear Compensation Method for Improving the Accuracy of an Absolute Multipolar Magnetic Encoder
A Linear Compensation Method for Improving the Accuracy of an Absolute Multipolar Magnetic Encoder Open
This paper proposes a linear compensator algorithm to improve the performance of an absolute multipolar magnetic encoder (AMPME). An AMPME is an absolute magnetic rotary encoder that uses a multipolar magnet (MPM) to increase the resolutio…
View article: Improving Robot Precision Positioning Using a Neural Network Based on Levenberg Marquardt–APSO Algorithm
Improving Robot Precision Positioning Using a Neural Network Based on Levenberg Marquardt–APSO Algorithm Open
This paper proposes a robot calibration method that uses an extended Kalman filter (EKF) and a neural network based on Levenberg–Marquardt combined accelerated particle swarm optimization (LMAPSO) to improve the accuracy of the robot’s abs…
View article: A Stable Adaptive Gradient Descent Harmonic-Disturbance Rejection for Improving Phase-Tracking Accuracy
A Stable Adaptive Gradient Descent Harmonic-Disturbance Rejection for Improving Phase-Tracking Accuracy Open
This paper proposes a stable adaptive gradient descent for harmonic-disturbance rejection as a tool for grid-power signal processing, magnetic rotary encoders, and permanent-magnet synchronous motors. The method can be widely applied to in…
View article: A feeder robot arm for aiding the elder people with meals
A feeder robot arm for aiding the elder people with meals Open
Japan’s aging rate is considered extremely high, outweighing all other nations in the world. On the other hand, the robotics and automation industry have received great support and encouragement for growth in every field possible including…
View article: Phytolith‐associated potassium in fern: characterization, dissolution properties and implications for slash‐and‐burn agriculture
Phytolith‐associated potassium in fern: characterization, dissolution properties and implications for slash‐and‐burn agriculture Open
In recent time, phytoliths (silicon deposition between plant cells) have been recognized as an important nutrient source for crops. The work presented here aims at highlighting the potential of phytolith‐occluded K pool in ferns. Dicranopt…