Hoang Ngoc Tran
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View article: Nghiên cứu thử nghiệm chế biến dầu thô có hàm lượng lưu huỳnh cao tại Nhà máy Lọc dầu Dung Quất
Nghiên cứu thử nghiệm chế biến dầu thô có hàm lượng lưu huỳnh cao tại Nhà máy Lọc dầu Dung Quất Open
Bài báo trình bày kết quả nghiên cứu thử nghiệm chế biến dầu Murban tại Nhà máy Lọc dầu Dung Quất. Nghiên cứu được thực hiện nhằm đánh giá sự ảnh hưởng của hàm lượng lưu huỳnh trong nguồn dầu thô đầu vào đối với các sản phẩm lọc dầu, hiệu …
View article: Development of Dual-Use Technology at Dung Quat Refinery: A Strategic Solution for Producing Specialized Military Fuels Jet A-1K and DO L-62
Development of Dual-Use Technology at Dung Quat Refinery: A Strategic Solution for Producing Specialized Military Fuels Jet A-1K and DO L-62 Open
The article presents research on the development of dual-use technology at the Dung Quat Refinery. By applying breakthrough and innovative technological solutions, BSR has overcome design configuration barriers to successfully produce spec…
View article: Grounding DINO and distillation-enhanced model for advanced traffic sign detection and classification in autonomous vehicles
Grounding DINO and distillation-enhanced model for advanced traffic sign detection and classification in autonomous vehicles Open
Accurate traffic sign detection is critical for safe autonomous driving. This paper presents a novel approach that integrates GroundingDINO, known for its semantic grounding capabilities, with a self-distilled ResNet to enhance detection p…
View article: Robust Multi-Camera Tracking with YOLOv10 and OSNet: Improving Accuracy through DeepSort and ID ReAssignment
Robust Multi-Camera Tracking with YOLOv10 and OSNet: Improving Accuracy through DeepSort and ID ReAssignment Open
View article: Enhanced Image Segmentation for Indoor Autonomous Systems Using RealSense Camera and U-Net with Advanced Encoder and Attention Mechanism
Enhanced Image Segmentation for Indoor Autonomous Systems Using RealSense Camera and U-Net with Advanced Encoder and Attention Mechanism Open
View article: Content-Based Food Image Retrieval Using Pre-Trained Neural Network Models
Content-Based Food Image Retrieval Using Pre-Trained Neural Network Models Open
View article: FAST: A pioneering unlearning framework integrating fine-tuning, adverse training, and student–teacher methods
FAST: A pioneering unlearning framework integrating fine-tuning, adverse training, and student–teacher methods Open
In the evolving field of machine unlearning, the imperative to protect data privacy while maintaining essential information has become increasingly critical. This paper introduces a pioneering unlearning framework named FAST (Fine-tuning, …
View article: Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations
Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations Open
Data assimilation plays a pivotal role in understanding and predicting turbulent systems within geoscience and weather forecasting, where data assimilation is used to address three fundamental challenges, i.e., high-dimensionality, nonline…
View article: Enhancing Semantic Scene Segmentation for Indoor Autonomous Systems Using Advanced Attention-Supported Improved UNet
Enhancing Semantic Scene Segmentation for Indoor Autonomous Systems Using Advanced Attention-Supported Improved UNet Open
This paper introduces EFFB7-UNet, an advanced semantic segmentation framework tailored for Indoor Autonomous Vision Systems (IAVSs) utilizing the U-Net architecture. The framework employs EfficientNetB4 as its encoder, significantly enhanc…
View article: Augmentation-Enhanced Deep Learning for Face Detection and Emotion Recognition in Elderly Care Robots
Augmentation-Enhanced Deep Learning for Face Detection and Emotion Recognition in Elderly Care Robots Open
Facial recognition and emotion detection are crucial for meaningful interactions between elderly individuals and healthcare robots. These technologies allow the robot to identify and understand facial expressions, adapting its responses ac…
View article: Steering Angle Prediction for Autonomous Vehicles Using Deep Transfer Learning
Steering Angle Prediction for Autonomous Vehicles Using Deep Transfer Learning Open
Self-driving cars are anticipated to revolutionize future transportation due to their reliability, safety, and continuous learning capabilities.Researchers are actively engaged in developing autonomous driving systems, employing techniques…
View article: Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++
Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++ Open
Fruits and vegetables (especially, tomatoes) healthy detection are important tasks for smart agriculture. Several works have been published in tomato detection, however, there is little research on using explainable AI to detect, classify …
View article: Deep Learning-Based Lane-Keeping Assist System for Self-Driving Cars Using Transfer Learning and Fine Tuning
Deep Learning-Based Lane-Keeping Assist System for Self-Driving Cars Using Transfer Learning and Fine Tuning Open
This paper presents an advanced lane-keeping assistance system specifically designed for self-driving cars.The proposed model combines the powerful Xception network with transfer learning and fine-tuning techniques to accurately predict th…
View article: Enhancing Indoor Robot Pedestrian Detection Using Improved PIXOR Backbone and Gaussian Heatmap Regression in 3D LiDAR Point Clouds
Enhancing Indoor Robot Pedestrian Detection Using Improved PIXOR Backbone and Gaussian Heatmap Regression in 3D LiDAR Point Clouds Open
Accurate and robust pedestrian detection is fundamental for indoor robotic systems to navigate safely and seamlessly alongside humans in spatially constrained, unpredictable indoor environments. This paper presents a novel method, IRBGHR-P…
View article: An Adaptive Backstepping Sliding-Mode Control for Improving Position Tracking of a Permanent-Magnet Synchronous Motor With a Nonlinear Disturbance Observer
An Adaptive Backstepping Sliding-Mode Control for Improving Position Tracking of a Permanent-Magnet Synchronous Motor With a Nonlinear Disturbance Observer Open
To provide reliable position control for a permanent-magnet synchronous motor (PMSM) under conditions of lumped disturbances such as external load torque fluctuation and system parameter variation, an adaptive backstepping sliding-mode con…
View article: Improving Autonomous Vehicle Performance through Integration of an Image Deraining and a Deep Learning-Based Network for Lane Following
Improving Autonomous Vehicle Performance through Integration of an Image Deraining and a Deep Learning-Based Network for Lane Following Open
View article: An Approach to Hyperparameter Tuning in Transfer Learning for Driver Drowsiness Detection Based on Bayesian Optimization and Random Search
An Approach to Hyperparameter Tuning in Transfer Learning for Driver Drowsiness Detection Based on Bayesian Optimization and Random Search Open
Driver drowsiness is a critical factor in road safety, and developing accurate models for detecting it is essential. Transfer learning has been shown to be an effective technique for driver drowsiness detection, as it enables models to lev…
View article: Evaluating the Effectiveness of YOLO Models in Different Sized Object Detection and Feature-Based Classification of Small Objects
Evaluating the Effectiveness of YOLO Models in Different Sized Object Detection and Feature-Based Classification of Small Objects Open
View article: An Improved Lane-Keeping Controller for Autonomous Vehicles Leveraging an Integrated CNN-LSTM Approach
An Improved Lane-Keeping Controller for Autonomous Vehicles Leveraging an Integrated CNN-LSTM Approach Open
Representing the task of navigating a car through traffic using traditional algorithms is a complex endeavor that presents significant challenges. To overcome this, researchers have started training artificial neural networks using data fr…
View article: Lane Road Segmentation Based on Improved UNet Architecture for Autonomous Driving
Lane Road Segmentation Based on Improved UNet Architecture for Autonomous Driving Open
This paper introduces a real-time workflow for implementing neural networks in the context of autonomous driving. The UNet architecture is specifically selected for road segmentation due to its strong performance and low complexity. To fur…
View article: Robust Speed Controller Using Dual Adaptive Sliding Mode Control (DA-SMC) Method for PMSM Drives
Robust Speed Controller Using Dual Adaptive Sliding Mode Control (DA-SMC) Method for PMSM Drives Open
A robust mechanical parameter estimation together with adaptive speed control algorithms for permanent magnet synchronous motor (PMSM) drive systems based on the dual adaptive sliding-mode method is proposed in this paper. First, a robust …
View article: Optimizing YOLO Performance for Traffic Light Detection and End-to-End Steering Control for Autonomous Vehicles in Gazebo-ROS2
Optimizing YOLO Performance for Traffic Light Detection and End-to-End Steering Control for Autonomous Vehicles in Gazebo-ROS2 Open
Autonomous driving has become a popular area of research in recent years, with accurate perception and recognition of the environment being critical for successful implementation. Traditional methods for recognizing and controlling steerin…
View article: Efficient Evaluation of SLAM Methods and Integration of Human Detection with YOLO Based on Multiple Optimization in ROS2
Efficient Evaluation of SLAM Methods and Integration of Human Detection with YOLO Based on Multiple Optimization in ROS2 Open
In the realm of robotics, indoor robotics is an increasingly prominent field, and enhancing robot performance stands out as a crucial concern. This research undertakes a comparative analysis of various Simultaneous Localization and Mapping…
View article: Ensemble of Deep Learning Models for Multi-plant Disease Classification in Smart Farming
Ensemble of Deep Learning Models for Multi-plant Disease Classification in Smart Farming Open
Plant disease identification at an early stage plays a crucial role in ensuring efficient management of the diseases and crop protection. The occurrence of plant ailments can result in substantial reductions in both crop yield and quality,…
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: Evaluation of the Efficiency of the Optimization Algorithms for Transfer Learning on the Rice Leaf Disease Dataset
Evaluation of the Efficiency of the Optimization Algorithms for Transfer Learning on the Rice Leaf Disease Dataset Open
To improve the model's efficiency, people use many different methods, including the Transfer Learning algorithm, to improve the efficiency of recognition and classification of image data. The study was carried out to combine optimization a…
View article: Adaptive Lane Keeping Assist for an Autonomous Vehicle based on Steering Fuzzy-PID Control in ROS
Adaptive Lane Keeping Assist for an Autonomous Vehicle based on Steering Fuzzy-PID Control in ROS Open
An autonomous vehicle is a vehicle that can run autonomously using a control. There are two modern autonomous assistant systems that are proposed in this research. First, we introduce a real-time approach to detect lanes of the streets. Ba…
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: Improving the accuracy of permanent magnet rotor position estimation for stepper motors using magnetic induction and harmonic rejection
Improving the accuracy of permanent magnet rotor position estimation for stepper motors using magnetic induction and harmonic rejection Open
To improve the accuracy of permanent magnet (PM) rotor position estimation for a hybrid stepper motor (HSM), the authors propose a sensorless control design based on the back electromagnetic force (back‐EMF) caused by magnetic induction an…