31 citations · 63 across the 6 of their papers we have counts for
6 papers
DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation
Xiaofan Jia, Sadeed Bin Sayed, Nahian Ibn Hasan +3
Objective: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique used to generate conduction currents in the head and disrupt brain functions…
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment
Enmei Tu, Guanghao Zhang, Shangbo Mao +2
The prosperity of artificial intelligence has aroused intensive interests in intelligent/autonomous navigation, in which path prediction is a key functionality for decision support…
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
Lei Zhang, Shanshan Wang, Guang-Bin Huang +3
In many practical transfer learning scenarios, the feature distribution is different across the source and target domains (i.e. non-i.i.d.). Maximum mean discrepancy (MMD), as a do…
A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks
Enmei Tu, Guanghao Zhang, Lily Rachmawati +2
A biological neural network is constituted by numerous subnetworks and modules with different functionalities. For an artificial neural network, the relationship between a network…
An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining
Shangbo Mao, Enmei Tu, Guanghao Zhang +3
In recent years, maritime safety and efficiency become more and more important across the world. Automatic Identification System (AIS) tracks vessel movement by onboard transceiver…
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey
Enmei Tu, Guanghao Zhang, Lily Rachmawati +2
The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or sa…