NAGUMO Kento
   Department   Aoyama Gakuin University  Department of Electrical Engineering and Electronics, College of Science and Engineering
   Position   Assistant Professor
Language English
Publication Date 2024/09
Type Academic Journal
Peer Review Peer reviewed
Title A comparative study of linear and nonlinear regression models for blood glucose estimation based on near-infrared facial images from 760 to 1650 nm wavelength
Contribution Type Collaboration
Journal TypeAnother Country
Publisher Artificial Life and Robotics