M.T. Vu

An explainable and uncertainty-aware deep-learning simulation framework for long-term discharge reconstruction in contrasting basins of the Seine system

Redouane Bouglia, Vanessya Laborie, M.T. Vu, Abderrahim Jardani

fr (code pays fourni par la source)

Enhanced Soil Fertility and Baby Maize Yield Through Bacillus megaterium CM2 under Reduced Nitrogen Input

Nguyen Van Chuong, M.T. Vu, Le Minh Tuan, Nguyễn Thị Thái Sơn et autres

This present study evaluated the effectiveness of Bacillus megaterium CM2 (strain CM2) as a biofertilizer for the enhancement of soil fertility and baby maize (Zea mays L.) productivity under reduced nitrogen (N) input in the Mekong Delta, Vietnam. A field experiment was …

vn (code pays fourni par la source)

Enhancement of the electrochemical properties of PEO/PVdF/LiBOB solid polymer electrolytes with succinonitrile as a plasticizer for lithium metal batteries

Minh Thu Nguyen, M.T. Vu, Phat Tan Vu, Trung Thien Nguyen et autres

Abstract The increasing demand for lithium‐ion batteries (LIBs) highlights the critical importance of electrolyte design in ensuring both electrochemical performance and safety. Limitations associated with conventional liquid electrolytes have driven the development of solid‐state electrolytes (SSEs) as a promising alternative to enhance …

vn (code pays fourni par la source)

High-accuracy reconstruction of water levels through integrating physics-based and data-driven models: application to the Seine estuary

M.T. Vu, Thi Kim Anh Do, Nicolas Huybrechts, Théo Garin et autres

An accurate understanding of river dynamics is vital for preserving ecosystems, supporting economic activities, and tackling climate challenges. This study presents a hybrid modelling approach that combines physics-based models with deep learning to reconstruct high-frequency, long-term water levels in the Seine Estuary, …

fr (code pays fourni par la source)

High-Rate 6-DoF Marker Tracking for Human-Robot Interaction via Low-Cost IMU-ArUco Fusion

Pongsakon Bamrungthai, M.T. Vu, Kittawat Thongpud, Minh Nhat Vu

In human-robot interaction (HRI), handheld fiducial markers can simplify perception and lighten computational load. We present a cube-shaped marker that embeds a low-cost inertial measurement unit (IMU) beneath five ArUco patterns and a sensor-fusion pipeline for its high-rate localization. A Kalman filter …

th, vn, at (code pays fourni par la source)

Autonomous Car Control Via Natural Language Commands Using ChatGPT and Raspberry Pi

M.T. Vu, Pongsakon Bamrungthai, Minh Nhat Vu, Thuong Tien Le

This paper presents the design and implementation of an autonomous voice-controlled robot system using ChatGPT and a Raspberry Pi-based robotic car. The aim is to integrate modern AI capabilities to process natural language commands and control the robot's movements. In particular, the …

vn, th, at (code pays fourni par la source)

Optimization and continuous flow synthesis of felodipine

Thanh Ngoc Nguyen, M.T. Vu, Nhung Le, Hung Quang Tran et autres

High-accuracy reconstruction of water levels through integrating physics-based and data-driven models: application to the Seine estuary

M.T. Vu, Thi Kim Anh Do, Nicolas Huybrechts, Théo Garin et autres

An accurate understanding of river dynamics is critical for preserving ecological diversity, supporting economic activities, and addressing environmental challenges amidst climate change. To tackle these challenges, advanced modeling tools are essential to grasp historical river dynamics and thus project future scenarios effectively. …

fr (code pays fourni par la source)

Characterization of the aquifer’s hydraulic properties using different pumping test modes: From oscillatory hydraulic tomography to steady state hydraulic tomography

Mohammed Aliouache, Abderrahim Jardani, M. Krimissa, M.T. Vu et autres

fr (code pays fourni par la source)

High-accuracy reconstruction of water levels through integrating physics-based and data-driven models: application to the Seine estuary

M.T. Vu, Thi Kim Anh Do, Nicolas Huybrechts, Théo Garin et autres

An accurate understanding of river dynamics is critical to preserve ecological diversity, supporting economic activities, and addressing environmental challenges amidst climate change. To tackle these challenges, advanced modeling tools are essential to grasp historical river dynamics and thus project future scenarios effectively. …

fr (code pays fourni par la source)

Mapping 2D Hydraulic Tomography: Comparison of Deep Learning Algorithm and Quasi‐Linear Geostatistical Approach

M.T. Vu, Abderrahim Jardani

ABSTRACT In this study, we conduct a comparative analysis of the Quasi‐Linear Geostatistical Approach (QLGA) and deep learning algorithms for 2D hydraulic tomography underground, exploiting synthetic and real hydraulic head data from field settings. The hydraulic dataset is derived from multiple pumping …

fr (code pays fourni par la source)

Pyrolysis of Golden Snail Shells (Pomacea canaliculata L.) for Phosphorus Removal from Aqueous Solutions

M.T. Vu, Le-Thuy-Thuy-Trang Hoang, Minh-Trung Dao

Biochar derived from abundant waste biomass has emerged as an eco-friendly alternative to conventional adsorbents. In this study, biochar produced from golden snail shells through a simple pyrolysis process was applied for phosphorus adsorption. The effects of pyrolysis temperature and time on …

vn (code pays fourni par la source)