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Trường Đại học FPT · Công nghệ Thông tin

11 công bố · 13 trích dẫn · h-index 2

Thông tin

🏛️Nơi công tác: Trường Đại học FPT
🔬Lĩnh vực: Công nghệ Thông tin
🆔ORCID: 0000-0002-8260-8866
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Công bố tiêu biểu

Advancing Urban Development through Vision-Language Models: Applications and Challenges of Satellite Imagery Analysis4 trích dẫn
· 2024 · DOI

Benchmarking Real-Time Object Detection: Evaluating YOLO and RT-DETR on Speed, Accuracy, and Efficiency3 trích dẫn
Communications in computer and information science · 2025 · DOI

Unlabeled to Accurate: Self-Supervised Learning for Land Use Classification in Sentinel-2 Imagery2 trích dẫn
· 2025 · DOI

From Theory to Practice: Quantum Kernels in Support Vector Classification for Improved Performance2 trích dẫn
· 2024 · DOI

GeOPipe: A Pipeline for Optimized Retrieval and Storage of Multispectral Satellite Imagery1 trích dẫn
· 2024 · DOI

Nacelle lidar power performance measurement in the context of the IEC 61400-12-1 standard1 trích dẫn
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) · 2011

Stress-testing deep models for Sentinel-2 land cover mapping under spatial resolution loss and cloud occlusion
· 2026 · DOI

Improving Remote Sensing Segmentation with Adaptive Tokenization in Vision-Language Models
Lecture notes in electrical engineering · 2026 · DOI

Evaluating Lightweight Deep Learning Models for Satellite Image Super-Resolution: A Comparative Study with Traditional Interpolation Techniques
· 2025 · DOI

Suburbanization in Ho Chi Minh City Metropolitan Area in the Context of City’s Peripheral Industrialization: A Case Study of Thuan Dao Industrial Park
Advances in 21st century human settlements · 2024 · 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

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