activity
20222024
most citedFuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing

14 citations · 26 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2024

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach

Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen +5

Positron Emission Tomography (PET) and Computed Tomography (CT) are essential for diagnosing, staging, and monitoring various diseases, particularly cancer. Despite their importanc…

cs.NI2024★ 6 cited

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems

Trung Thanh Nguyen, Truong Thao Nguyen, Dinh Tuan Anh Nguyen +2

We focus on real-time air quality monitoring systems that rely on devices installed on automobiles in this research. We investigate an opportunistic communication model in which de…

cs.NI2024★ 14 cited

Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing

Trung Thanh Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen +1

This study focuses on MEC-enhanced, vehicle-based crowdsensing systems that rely on devices installed on automobiles. We investigate an opportunistic communication paradigm in whic…

cs.CV2023

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection

Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong +4

Federated learning (FL) enables multiple clients to train a model without compromising sensitive data. The decentralized nature of FL makes it susceptible to adversarial attacks, e…

cs.LG2023

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization

Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen +4

Federated learning enables edge devices to train a global model collaboratively without exposing their data. Despite achieving outstanding advantages in computing efficiency and pr…

cs.CV2022★ 1 cited

Multi-stream Fusion for Class Incremental Learning in Pill Image Classification

Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen +2

Classifying pill categories from real-world images is crucial for various smart healthcare applications. Although existing approaches in image classification might achieve a good p…

cs.CV2022

Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance

Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham +2

Identifying pills given their captured images under various conditions and backgrounds has been becoming more and more essential. Several efforts have been devoted to utilizing the…

cs.CV2022★ 5 cited

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen +3

In the last decades, scene text recognition has gained worldwide attention from both the academic community and actual users due to its importance in a wide range of applications.…