Gengjia Zhang

According to our database, Gengjia Zhang authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reconstruction of arterial blood pressure waveforms based on squeeze-and-excitation network models using electrocardiography and photoplethysmography signals.

Gengjia Zhang, Daegil Choi, Jaehyo Jung

Knowl. Based Syst., 2024

Development of continuous cuffless blood pressure prediction platform using enhanced 1-D SENet-LSTM.

Gengjia Zhang, Daegil Choi, Jaehyo Jung

Expert Syst. Appl., 2024

2023

Cascade forest regression algorithm for non-invasive blood pressure estimation using PPG signals.

Gengjia Zhang, Siho Shin, Jaehyo Jung

Appl. Soft Comput., September, 2023

Depression Diagnosis Algorithm Based on R2U-Net Using Facial Images.

Daegil Choi, Gengjia Zhang, Jaehyo Jung

Proceedings of the International Conference on Machine Learning and Applications, 2023

Cuff-less blood pressure estimation from ECG and PPG using CNN-LSTM algorithms.

Gengjia Zhang, Daegil Choi, Siho Shin, Jaehyo Jung

Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023

Decision Tree Algorithm for Depression Diagnosis from Facial Images.

Daegil Choi, Gengjia Zhang, Siho Shin, Jaehyo Jung

Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023

Reconstruction of ABP Waveform from the ECG or PPG Signals Using Enhanced 1-D UNetwork.

Gengjia Zhang, Daegil Choi, Da Eun Kim, Jaehyo Jung

Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023

Depression Diagnosis Algorithm Based on 2-stream CNN Using Facial Image.

Daegil Choi, Gengjia Zhang, Da Eun Kim, Jaehyo Jung

Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023

2022

Machine learning Algorithm for Non-invasive Blood Pressure Estimation Using PPG Signals.

Gengjia Zhang, Siho Shin, Jaehyo Jung, Meina Li, Youn Tae Kim

Proceedings of the 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2022

Development of a Variety of Fast Machine Learning Model for ECG-based Arrhythmia Classifier.

Gengjia Zhang, Siho Shin, Jaehyo Jung, Meina Li, Youn Tae Kim

Proceedings of the 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2022

2021

Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.

Mingu Kang, Siho Shin, Gengjia Zhang, Jaehyo Jung, Youn Tae Kim

Sensors, 2021