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Yunendah Nur Fuadah

Showing results (1-10 of 16) with videos related to

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Biomedical Engineering Letters|July 8, 2025
Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signalsYunendah Nur Fuadah, Ki Moo Lim
Frontiers in Physiology|February 21, 2022
Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine LearningYunendah Nur Fuadah, Ki Moo Lim
Diagnostics (Basel, Switzerland)|November 26, 2022
Classification of Blood Pressure Levels Based on Photoplethysmogram and Electrocardiogram Signals with a Concatenated Convolutional Neural NetworkYunendah Nur Fuadah, Ki Moo Lim
Bioengineering (Basel, Switzerland)|January 21, 2023
An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine LearningYunendah Nur Fuadah, Muhammad Adnan Pramudito, Ki Moo Lim
Scientific Reports|July 16, 2024
Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signalsBharindra Kamanditya, Yunendah Nur Fuadah, Nurul Qashri Mahardika T, et al.
Annals of Biomedical Engineering|January 26, 2026
Stacking Ensemble Machine Learning for Cardiac Safety Assessment Using hiPSC-CM MEA DataMuhammad Adnan Pramudito, Yunendah Nur Fuadah, Yoo Seok Kim, et al.
Toxicology Mechanisms and Methods|March 17, 2026
Interpretable Multi-Modality Consensus QSAR Framework: Integrating Machine and Deep Learning for Enhanced Multi-Endpoint Toxicity AssessmentFauzan Syarif Nursyafi, Muhammad Adnan Pramudito, Yunendah Nur Fuadah, et al.
Diagnostics (Basel, Switzerland)|August 12, 2023
PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTMNurul Qashri Mahardika T, Yunendah Nur Fuadah, Da Un Jeong, et al.
Frontiers in Physiology|October 20, 2023
Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variabilityYunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Scientific Reports|October 14, 2024
Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluationMuhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Biomedical Engineering Letters|July 8, 2025
Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signalsYunendah Nur Fuadah, Ki Moo Lim
Frontiers in Physiology|February 21, 2022
Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine LearningYunendah Nur Fuadah, Ki Moo Lim
Diagnostics (Basel, Switzerland)|November 26, 2022
Classification of Blood Pressure Levels Based on Photoplethysmogram and Electrocardiogram Signals with a Concatenated Convolutional Neural NetworkYunendah Nur Fuadah, Ki Moo Lim
Bioengineering (Basel, Switzerland)|January 21, 2023
An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine LearningYunendah Nur Fuadah, Muhammad Adnan Pramudito, Ki Moo Lim
Scientific Reports|July 16, 2024
Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signalsBharindra Kamanditya, Yunendah Nur Fuadah, Nurul Qashri Mahardika T, et al.
Annals of Biomedical Engineering|January 26, 2026
Stacking Ensemble Machine Learning for Cardiac Safety Assessment Using hiPSC-CM MEA DataMuhammad Adnan Pramudito, Yunendah Nur Fuadah, Yoo Seok Kim, et al.
Toxicology Mechanisms and Methods|March 17, 2026
Interpretable Multi-Modality Consensus QSAR Framework: Integrating Machine and Deep Learning for Enhanced Multi-Endpoint Toxicity AssessmentFauzan Syarif Nursyafi, Muhammad Adnan Pramudito, Yunendah Nur Fuadah, et al.
Diagnostics (Basel, Switzerland)|August 12, 2023
PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTMNurul Qashri Mahardika T, Yunendah Nur Fuadah, Da Un Jeong, et al.
Frontiers in Physiology|October 20, 2023
Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variabilityYunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, et al.
Scientific Reports|October 14, 2024
Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluationMuhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, et al.
Pageof 2