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Moon-Il Joo

Showing results (1-10 of 6) with videos related to

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Healthcare (Basel, Switzerland)|August 27, 2021
Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different LanguagesMoon-Il Joo, Satyabrata Aich, Hee-Cheol Kim
Journal of Healthcare Engineering|November 6, 2019
A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable DevicesSabyasachi Chakraborty, Satyabrata Aich, Moon-Il Joo, et al.
Sensors (Basel, Switzerland)|July 27, 2024
BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT NetworksKhadija Begum, Md Ariful Islam Mozumder, Moon-Il Joo, et al.
Nutrients|January 25, 2025
An Explainable CNN and Vision Transformer-Based Approach for Real-Time Food RecognitionKintoh Allen Nfor, Tagne Poupi Theodore Armand, Kenesbaeva Periyzat Ismaylovna, et al.
Sensors (Basel, Switzerland)|January 21, 2023
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data SecuritySikandar Ali, Abdullah, Tagne Poupi Theodore Armand, et al.
Journal of Healthcare Engineering|March 10, 2020
Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's PatientsSatyabrata Aich, Pyari Mohan Pradhan, Sabyasachi Chakraborty, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Healthcare (Basel, Switzerland)|August 27, 2021
Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different LanguagesMoon-Il Joo, Satyabrata Aich, Hee-Cheol Kim
Journal of Healthcare Engineering|November 6, 2019
A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable DevicesSabyasachi Chakraborty, Satyabrata Aich, Moon-Il Joo, et al.
Sensors (Basel, Switzerland)|July 27, 2024
BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT NetworksKhadija Begum, Md Ariful Islam Mozumder, Moon-Il Joo, et al.
Nutrients|January 25, 2025
An Explainable CNN and Vision Transformer-Based Approach for Real-Time Food RecognitionKintoh Allen Nfor, Tagne Poupi Theodore Armand, Kenesbaeva Periyzat Ismaylovna, et al.
Sensors (Basel, Switzerland)|January 21, 2023
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data SecuritySikandar Ali, Abdullah, Tagne Poupi Theodore Armand, et al.
Journal of Healthcare Engineering|March 10, 2020
Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's PatientsSatyabrata Aich, Pyari Mohan Pradhan, Sabyasachi Chakraborty, et al.
Pageof 1