Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments. - M. Humayun Kabir; M. Robiul Hoque; Keshav Thapa; Sung-Hyun Yang (Int. J. Distributed Sens. Networks, 2016)

Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition. - Sung-Hyun Yang; Keshav Thapa; M. Humayun Kabir; Hee-Chan Lee (Int. J. Distributed Sens. Networks, 2018)

Unobtrusive monitoring of behavior and movement patterns to detect clinical depression severity level via smartphone. - Mohammed T. Masud; Mohammed A. Mamun; Keshav Thapa; D. H. Lee; Mark D. Griffiths 001; Sung-Hyun Yang (J. Biomed. Informatics, 2020)

A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition. - Keshav Thapa; Zubaer Md. Abdullah Al; Barsha Lamichhane; Sung-Hyun Yang (Sensors, 2020)

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; Keshav Thapa; Sung-Hyun Yang (Sensors, 2021)

Epileptic-Net: An Improved Epileptic Seizure Detection System Using Dense Convolutional Block with Attention Network from EEG. - Md Shafiqul Islam; Keshav Thapa; Sung-Hyun Yang (Sensors, 2022)

Detection of Image Level Forgery with Various Constraints Using DFDC Full and Sample Datasets. - Barsha Lamichhane; Keshav Thapa; Sung-Hyun Yang (Sensors, 2022)

Semi-Supervised Adversarial Learning Using LSTM for Human Activity Recognition. - Sung-Hyun Yang; Dong-Gwon Baek; Keshav Thapa (Sensors, 2022)

Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition. - Keshav Thapa; Yousung Seo; Sung-Hyun Yang; Kyong Kim (Sensors, 2023)