Keshav Thapa

Special Professor

Daegu University

South Korea

Research Interests

Explore related searches

Professors in South Korea Professors in Deep Learning Deep Learning professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Keshav Thapa is a Special Professor at Daegu Haany University in South Korea. His research interests encompass wearable technology for health monitoring, human activity recognition using semi-supervised learning, and advanced medical image processing techniques. He has contributed to various fields through his recent publications, including the development of novel methods for detecting COVID-19 from chest X-ray images and improved algorithms for EEG-based seizure detection.

Articles (8)

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Collaborators (2)

Sung-Hyun Yang

Professor

Kwangwoon University

SOUTH KOREA

View details

Puran Pandey

Assistant Professor

Dongguk University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Keshav Thapa

Research Interests

Explore related searches

Contact this professor

About

Articles (8)

Recent Progress in Wearable Triboelectric Nanogenerator for Advanced Health Monitoring and Rehabilitation

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

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

Semi-Supervised Adversarial Learning Using LSTM for Human Activity Recognition

Detecting COVID-19 Status Using Chest X-ray Images and Symptoms Analysis by Own Developed Mathematical Model: A Model Development and Analysis Approach

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

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

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

Collaborators (2)

Sung-Hyun Yang

Puran Pandey

Make your next move.