K. Thapa

发表

Semi-Supervised Adversarial Learning Using LSTM for Human Activity Recognition

Sung-Hyun Yang, Dong-Gwon Baek, K. Thapa, 2022, Sensors.

Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition

Sung-Hyun Yang, K. Thapa, Yousung Seo, 2023, Sensors.

Unobtrusive monitoring of behavior and movement patterns to detect clinical depression severity level via smartphone

Mark D Griffiths, Mohammed T Masud, Mohammed A Mamun, 2020, J. Biomed. Informatics.

Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments

M. Humayun Kabir, M. Robiul Hoque, Sung-Hyun Yang, 2016, Int. J. Distributed Sens. Networks.

A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

Sung-Hyun Yang, Keshav Thapa, Zubaer Md. Abdullah Al, 2020, Sensors.

Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition

Keshav Thapa, Yang Sung-Hyun, M Humayun Kabir, 2018, Int. J. Distributed Sens. Networks.

State-Space based Linear Modeling for Human Activity Recognition in Smart Space

Sung-Hyun Yang, Jae-Young Yang, Keshav Thapa, 2018 .

Epileptic-Net: An Improved Epileptic Seizure Detection System Using Dense Convolutional Block with Attention Network from EEG

Md. Shafiqul Islam, Sung-Hyun Yang, K. Thapa, 2022, Sensors.

Improving R Peak Detection in ECG Signal Using Dynamic Mode Selected Energy and Adaptive Window Sizing Algorithm with Decision Tree Algorithm

Zubaer Md. Abdullah Al, Sung-Hyun Yang, K. Thapa, 2021, Sensors.

Detection of Image Level Forgery with Various Constraints Using DFDC Full and Sample Datasets

Sung-Hyun Yang, K. Thapa, Barsha Lamichhane, 2022, Sensors.

Detecting Cognitive Impairment Status Using Keystroke Patterns and Physical Activity Data among the Older Adults: A Machine Learning Approach

Mohammad Nahid Hossain, Md. Shafiqul Islam, Jiyun Lee, 2021, Journal of healthcare engineering.