Session Details
[A-8]Signal Processing
Fri. Mar 13, 2026 9:15 AM - 12:15 PM JST
Fri. Mar 13, 2026 12:15 AM - 3:15 AM UTC
Fri. Mar 13, 2026 12:15 AM - 3:15 AM UTC
Building 1 3F S304(Kyushu Sangyo University)
Chair:Aikawa Naoyuki(Tokyo University of Science), Nishikawa Kiyoshi(Tokyo Metropolitan University)
[A-8-01]端成分抽出のためのハイパースペクトル画像データ削減手法
〇Tomohiko Mizutani1 (1. Shizuoka University)
[A-8-02]Classification of Textile Samples Using Visible-Light Hyperspectral Imaging
◎Hayato Hashiguchi1, Daichi Iwadare1, Masahiro Okuda1 (1. Doshisha Univ.)
[A-8-03]Optimization of Physical Features and Development of a Rapid Development of a Rapid Evaluation Model for Assessing the Differentiation Status of iPSC-Derived Cardiac Cell Clusters
◎Osuke Kawazoe1, Shu Fujita1, Nari Tanabe1, Yasuo Miyagi2 (1. Suwa University of Science, 2. Nippon Medical School)
[A-8-04]Localization of myocardial infarction focusing on regional dynamics within the cardiac cycle
◎Riku Iwamoto1, Nari Tanabe1, Norika Sasaki2 (1. Suwa University of Science, 2. Tokyo University of Science)
[A-8-05]Development of a Detection System for Drill Chipping and Breakage Based on Time–Frequency
◎Naoto Nakashima1, Nari Tanabe1 (1. Suwa University of Science)
Break time
[A-8-06]Neural clustering process for multi-reflection histogram-less SPAD depth estimation
〇Yijie Miao1, Makoto Ikeda1 (1. The Univ. of Tokyo)
[A-8-07]Subnanometer Displacement Extraction in Coherent Phase Sensing via Fixed-Decoder Autoencoders
◎△Md Nazmul Hussain1, Yasuhiro Okamura1, Masanori Hanawa1 (1. University of Yamanashi)
[A-8-08]A Speckle Noise Removal Method for Laser Doppler Vibrometers
〇Taku Uchida1, Akihiro Fujii1 (1. OKI)
[A-8-09]Structural anomaly detection using hammering inspection based on time-domain features with the Mahalanobis Taguchi method
◎Shuji Matsuzaki1, Ryosuke Amano1, Tanabe Nari1 (1. Suwa University of Science)
[A-8-10]A hammering test system employing AdaBoost with multiple features
◎Kaho Taguchi1, Nari Tanabe1 (1. Suwa University of Science)
[A-8-11]Production Volume Prediction Using a Meta-Model-Based Ensemble Learning with Machine Operating States
〇Ryusei Kurita1, Shinji Tsukuno1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa University of Science, 2. Tokyo University of Science)
