research
∙
08/20/2023
Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity Analysis
Traffic prediction is one of the key elements to ensure the safety and c...
share
research
∙
08/03/2023
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification
Clinical decision support systems (CDSSs) have been widely utilized to s...
research
∙
05/26/2023
Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features
For many robotic manipulation and contact tasks, it is crucial to accura...
research
∙
05/09/2023
Dirichlet process mixture models for the Analysis of Repeated Attempt Designs
In longitudinal studies, it is not uncommon to make multiple attempts to...
research
∙
02/28/2023
Modular and Parallelizable Multibody Physics Simulation via Subsystem-Based ADMM
In this paper, we present a new multibody physics simulation framework t...
research
∙
02/26/2022
Multi-image Super-resolution via Quality Map Associated Temporal Attention Network
With the rising interest in deep learning-based methods in remote sensin...
research
∙
02/26/2022
Fast and Accurate Data-Driven Simulation Framework for Contact-Intensive Tight-Tolerance Robotic Assembly Tasks
We propose a novel fast and accurate simulation framework for contact-in...
research
∙
01/23/2022
Large-Dimensional Multibody Dynamics Simulation Using Contact Nodalization and Diagonalization
We propose a novel multibody dynamics simulation framework that can effi...
research
∙
12/08/2021
Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running
We present a mobile dataset obtained from electroencephalography (EEG) o...
research
∙
12/10/2020
Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG
A micro-sleep is a short sleep that lasts from 1 to 30 secs. Its detecti...
research
∙
12/07/2020
Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics
Recent advances in brain-computer interface technology have shown the po...
research
∙
12/07/2020
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
Memory is an essential element in people's daily life based on experienc...
research
∙
05/18/2020
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface
Practical brain-machine interfaces have been widely studied to accuratel...
research
∙
05/15/2020
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals
The assessment of consciousness and unconsciousness is a challenging iss...
research
∙
05/04/2020
Prediction of Event Related Potential Speller Performance Using Resting-State EEG
Event-related potential (ERP) speller can be utilized in device control ...
research
∙
02/11/2020
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State
Motor imagery based brain-computer interfaces (MI-BCIs) allow the contro...
research
∙
02/04/2020
Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals
Declarative memory has been studied for its relationship with rememberin...
research
∙
02/04/2020
Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface
Visual imagery is an intuitive brain-computer interface paradigm, referr...
research
∙
02/04/2020
A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task
Recently, smart home systems based on brain-computer interface (BCI) has...
research
∙
02/04/2020
