Van-Viet Nguyen

Nhà nghiên cứu Hồ sơ 5/10

Đại học Thái Nguyên · Công nghệ Thông tin

8 công bố · 2 trích dẫn · h-index 1

Thông tin

🏛️Nơi công tác: Đại học Thái Nguyên
🔬Lĩnh vực: Công nghệ Thông tin
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Công bố tiêu biểu

A Novel Unified Framework for Automated Generation and Multimodal Validation of UML Diagrams2 trích dẫn
Computer Modeling in Engineering & Sciences · 2026 · DOI

Fine-Tuning and Evaluating Distilled DeepSeek Models for Code Reasoning
· 2025 · DOI

Fine-Tuning Mini Language Models for Legal Multiple-Choice Question Answering: A Comparative Study of Phi-3.5, Qwen 2.5 and Llama 3.2
Lecture notes in networks and systems · 2026 · DOI

Multi-agent autonomous GeoAI framework for scalable and self-improving geospatial intelligence
IAES International Journal of Artificial Intelligence · 2026 · DOI

Parameter-efficient fine-tuning of small language models for code generation: a comparative study of Gemma, Qwen 2.5 and Llama 3.2
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2026 · DOI

Automated data exploration with mutual information in natural language to visualization
IAES International Journal of Artificial Intelligence · 2026 · DOI

From Feature Description to UML Architecture: A Novel Framework for Automated Reasoning and Multimodal Evaluation of Component and Deployment Diagram
Journal of Information Systems Engineering and Business Intelligence · 2026 · DOI

Enhancing Autonomous GIS with DeepSeek-Coder: an open-source large language model approach
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2026 · DOI

Về lĩnh vực Công nghệ Thông tin

2.378học giả

36.643công bố

398.190trích dẫn

3.7h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Topic ModelingNatural Language Processing TechniquesAdvanced Neural Network ApplicationsNetwork Security and Intrusion DetectionMultimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Nơi có nhiều học giả lĩnh vực này nhất: