output
20162026
most citedFusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

296 citations

Showing 2025Show all

7 papers · 1 filter

eess.SY2025★ 2 cited

A Digital Twin Framework for Decision-Support and Optimization of EV Charging Infrastructure in Localized Urban Systems

Bui Khanh Linh Do, Thanh H. Nguyen, Nghi Huynh Quang +2

As Electric Vehicle (EV) adoption accelerates in urban environments, optimizing charging infrastructure is vital for balancing user satisfaction, energy efficiency, and financial v…

eess.IV2025★ 1 cited

Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation

Ha-Hieu Pham, Minh Le, Han Huynh +2

Semi-supervised semantic segmentation (SSSS) is vital in computational pathology, where dense annotations are costly and limited. Existing methods often rely on pixel-level consist…

cs.LG2025★ 6 cited

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning

Senura Hansaja Wanasekara, Van-Dinh Nguyen, Kok-Seng +3

Goal-oriented semantic communication (SC) aims to revolutionize communication systems by transmitting only task-essential information. However, current approaches face challenges s…

cs.DC2025★ 17 cited

Deadline-Aware Joint Task Scheduling and Offloading in Mobile Edge Computing Systems

Ngoc Hung Nguyen, Van-Dinh Nguyen, Anh Tuan Nguyen +3

The demand for stringent interactive quality-of-service has intensified in both mobile edge computing (MEC) and cloud systems, driven by the imperative to improve user experiences.…

cs.DC2025

Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles

Thien Tran, Quang Nguyen, Jonathan Kua +4

Industrial Cyber-Physical Systems (ICPS) technologies are foundational in driving maritime autonomy, particularly for Unmanned Surface Vehicles (USVs). However, onboard computation…

cond-mat.str-el2025★ 2 cited

Slow ferromagnetic fluctuations in the kagome metal ScMnAlSi revealed by Al NMR

Qing-Ping Ding, Charles Taylor, Yongbin Lee +6

Static and dynamical magnetic and electronic properties of the kagome metal ScMnAlSi have been investigated by Al nuclear magnetic resonance (NMR) measuremen…