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1

Transformation of rice production in South Vietnam under the impact of high-yielding rice varieties (1965-1975)

The article focuses on elucidating the transformation of rice production in South Vietnam from 1965 to prior to April 30, 1975, under the impact of the introduction of high-yielding rice varieties and...

Author: Nhung Nguyễn Thị Hồng

Keyword: Green Revolution high-yielding rice varieties South Vietnam rice production 1965–1975.

2

An Efficient TinyML Framework for Real-Time Sensor Data Processing

The rapid growth of real-time sensor applications in edge environments requires efficient data processing under strict resource constraints. This paper proposes a TinyML-based framework that...

Author: Kiên Phạm Xuân

Keyword: TinyML Edge Computing Real-Time Processing Model Optimization Resource-Constrained Systems Computational Efficiency

3

Distributed graph neural network-based anti-jamming for scalable and energy-constrained IoT networks

This paper presents a distributed graph neural network (GNN) framework for anti-jamming in large-scale IoT systems with dynamic interference and strict energy constraints. The proposed approach...

Author: Hue Tran Thi

Keyword: Distributed graph neural networks Anti-jamming communications Internet of Things Energy-efficient networking Scalable wireless networks

4

An Artificial Intelligence-based ecosystem for personalized nutrition in preschool children groups

This paper proposes an artificial intelligence model to support the development of a personalized nutrition ecosystem for preschool children. The proposed approach combines child clustering based on...

Author: An Pham Trong Phuong, Vo Bao Quoc, Nguyen Duy Khanh, Pham Binh Trong, Hoang Tram Thi, Cao Thanh Son

Keyword: Artificial Intelligence Personalized Nutrition Preschool Children Nutrition Ecosystem

5

GNN-enhanced multi-agent DRL for adaptive anti-jamming routing in MANETs

This paper proposes a GNN-enhanced multi-agent deep reinforcement learning framework for antijamming routing in mobile ad hoc networks. The approach combines temporal graph representations with...

Author: Hanh Vu My, Oanh Le Thi Kieu

Keyword: MANET Anti-jamming Graph Neural Networks (GNN) Multi-Agent Reinforcement Learning (MARL) Adversarial Learning

6

Emergency braking of the 2022 KIA Seltos under different road conditions

This paper investigates the emergency braking dynamics of the 2022 KIA Seltos using CarSim simulations to determine safe speed limits under different road-surface conditions. Simulations were...

Author: Minh Luong Ngoc, Nguyen Phi Cuong Anh, Uy Nguyen Ba

Keyword: Emergency braking adhesion coefficient safe speed dynamics simulation KIA Seltos

7

Joint power control and spectrum access optimization in FANET via reinforcement learning

This paper studies joint power control and spectrum access in dynamic flying ad hoc networks (FANETs) under co-channel interference and adaptive jamming. We propose a graph neural network-aided...

Author: Dung Nguyen Thi

Keyword: FANET Multi-agent reinforcement learning Graph neural networks Anti-jamming Resource optimization

8

Trust-aware blockchain-assisted multi-agent DRL for secure and scalable routing in IoT-enabled MANETs

This paper proposes a trust-aware blockchain-assisted multi-agent deep reinforcement learning (MADRL) framework for secure and scalable routing in IoT-enabled Mobile Ad Hoc Networks (MANETs) under...

Author: Phuong Hoang Thi

Keyword: IoT networks Secure routing Blockchain Multi-agent deep reinforcement learning (MADRL) Double Deep Q-Network (DDQN)

9

Lightweight DAG-blockchain framework for trust management in edge-assisted VANETs

Highly dynamic topology and unreliable vehicular behaviors remain major challenges for blockchain-enabled trust management in Vehicular Ad Hoc Networks (VANETs). Conventional blockchain schemes often...

Author: Hang Dao Thi, Phi Pham Van, Hien Tran Thi

Keyword: VANET DAG Blockchain Trust management Edge-assisted networks Mobility-aware trust

10

An overview of Artificial Intelligence application trends in personalized foreign language learning

This study aims to identify trends in the use of artificial intelligence in foreign language learning, classify the major forms of AI technologies, and synthesize their effects on personalized...

Author: Nguyen Tuan Anh, Thao Nguyen Thi Thanh

Keyword: Artificial intelligence personalized learning foreign language learning chatbot adaptive learning.

Vinh University journal of science

Tạp chí khoa học Trường Đại học Vinh

ISSN: 1859 - 2228

Governing body: Vinh University

  • Address: 182 Le Duan street- Truong Vinh ward- Nghe An province
  • Phone: (+84) 238.3855.452 - Fax: (+84) 238.3855.269
  • Email: vinhuni@vinhuni.edu.vn
  • Website: https://vinhuni.edu.vn

 

License: 163/GP-BTTTT issued by the Minister of Information and Communications on May 10, 2023

Open Access License: Creative Commons CC BY-NC 4.0

 

CONTACT

Editor-in-Chief: Assoc. Prof., Dr. Tran Ba Tien
Email: tientb@vinhuni.edu.vn

Deputy editor-in-chief: Assoc. Prof., Dr. Phan Van Tien
Email: vantienkxd@vinhuni.edu.vn

Sub-Editor: Dr. Do Mai Trang
Email: domaitrang@vinhuni.edu.vn

Editorial assistant: Msc. Le Tuan Dung, Msc. Phan The Hoa, Msc. Pham Thi Quynh Nga, Msc. Tran Thi Thai

  • Address: 4th Floor, Executive Building, No. 182, Le Duan street, Truong Vinh ward, Nghe An province.
  • Phone: (+84) 238-385-6700 | Hotline: (+84) 97-385-6700
  • Email: editors@vujs.vn
  • Website: https://vujs.vn

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