1 citations · 1 across the 8 of their papers we have counts for
8 papers
TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation
Thien Nhan Vo, Yen Nhi Tran Thi, Ngan Nguyen Xuan Phuong +1
Sleep deprivation impairs vigilance and cognitive function, yet jointly identifying the sleep condition (normal vs deprived) and the eye state (open vs closed) from electroencephal…
Inter- and Intra-Subject Variability in EEG: A Systematic Survey
Xuan-The Tran, Thien-Nhan Vo, Son-Tung Vu +4
Electroencephalography (EEG) underpins neuroscience, clinical neurophysiology, and brain-computer interfaces (BCIs), yet pronounced inter- and intra-subject variability limits reli…
3D Brain MRI Classification for Alzheimer Diagnosis Using CNN with Data Augmentation
Thien Nhan Vo, Bac Nam Ho
A three-dimensional convolutional neural network was developed to classify T1-weighted brain MRI scans as healthy or Alzheimer. The network comprises 3D convolution, pooling, batch…
Understand the Effect of Importance Weighting in Deep Learning on Dataset Shift
Thien Nhan Vo
We evaluate the effectiveness of importance weighting in deep neural networks under label shift and covariate shift. On synthetic 2D data (linearly separable and moon-shaped) using…
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
Thien Nhan Vo
This study addresses the classification of heartbeats from ECG signals through two distinct approaches: traditional machine learning utilizing hand-crafted features and deep learni…
Nonlinear Control of a Quadrotor UAV Using Backstepping-Based Sliding Mode Technique
Thien Nhan Vo
This paper presents the development of a sliding mode controller using the backstepping approach. The controller is employed to synthesize tracking errors and Lyapunov functions. A…
Active Learning for Multi-class Image Classification
Thien Nhan Vo
A principle bottleneck in image classification is the large number of training examples needed to train a classifier. Using active learning, we can reduce the number of training ex…
Deep Learning for On-Street Parking Violation Prediction
Thien Nhan Vo
Illegal parking along with the lack of available parking spaces are among the biggest issues faced in many large cities. These issues can have a significant impact on the quality o…