Session Details

[A-8]信号処理

Tue. Mar 25, 2025 1:45 PM - 5:00 PM JST
Tue. Mar 25, 2025 4:45 AM - 8:00 AM UTC
Building No.1 3F 13N(Tokyo City University)
Chair:Nakachi Takayuki, TAIZO SUZUKI

[A-8-01]A study on error correction of atrial fibrillation detection by Viterbi decoding

〇Hidefumi Kamozawa1, Tanaka Motoshi1,2 (1. Graduate School of Engineering Science, Akita University, 2. Graduate School of Advanced Healthcare Engineering, Akita University)

[A-8-02]Heart Rate Estimation Based on ICEEMDAN Using Chirp Correction and Phase Accumulation-Linear Interpolation Processing from MIMO FMCW Radar

〇Miiru Mutsukawa1, Shi Xintong1, Tomoaki Ohtsuki1 (1. Keio University)

[A-8-03]Prediction of myocardial infarction site using dynamic analysis and dynamic vectors in echocardiographic moving images.

〇Riki Kanai1, Nari Tanabe1, Kohei Oe1, Junya Aoyama3, Yasuo Miyagi2 (1. Suwa University of Science, 2. Nippon Medical School, 3. Harvard University)

[A-8-04]Machine-learning iPS differentiation evaluation method using quantitative features
of 3D point cloud based on acceleration vector analysis of iPSCs-derived cardiomyocytes

〇Shu Fujita1, Evgeniy Mishchenko1, Nari Tanabe1, Junya Aoyama2, Yasuo Miyagi3 (1. Suwa Tokyo University of Science, 2. Harvard University, 3. Nippon Medical School)

[A-8-05]Prediction Method for Aortic Dissection from Non-Contrast CT Images Using Concentration Differential Feature Transformation Curves and Contour Detection

〇Mae Watanabe1, Akari Nanko1, Nari Tanabe1, Junya Aoyama2, Yasuo Miyagi3 (1. Suwa University of Science, 2. Havard University, 3. Nippoon Medical School)

[A-8-06]Prediction of total diaper changes per day using SMOTE-XGBoost based on infant bowel sounds

〇Saya Mukaiyama1, Nari Tanabe1, Sunori Okaya 2 (1. Suwa Tokyo University of Science, 2. Ehime University)

Break time

[A-8-07]Modified feedforward broadband ANC with
online secondary-path modeling

〇Zhizheng Jia1, Yegui Xiao1, Yaping Ma2 (1. Prefectural University of Hiroshima, 2. Jiangnan University)

[A-8-08]Improving the performance of hybrid active noise control

〇Nagisa Hara1, Yegui Xiao1, Zijie Wang1 (1. Prefectural Univercity of Hiroshima)

[A-8-09]Prediction of Defective Product Transition in Custom-made EV Resistance Factories by Fast Tracking of Feed-forward LSTM

〇Aimi Kiriyama1, Yuma Shirota1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa University of Science, 2. Tokyo University of Science)

[A-8-10]Production Prediction Using Heterogeneous Choice Ensemble Learning Based on AdaBoost.RT in a Combined Line Factory

〇Mio Takanashi1, Kosuke Kamijo1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa Tokyo University of Science, 2. Tokyo University of Science)

[A-8-11]Predicting Production Volume Using Rapid-Fluctuation-Tracking XGBoost in a Cell-Based Manufacturing Plant

〇Shinji Tsukuno1, Shuhei Aoyama1, Nari Tanabe1, Aya Ishigaki2 (1. Suwa University of Science, 2. Tokyo University of Sciense)

[A-8-12]A cLiGME Model Approach for Residual Recovery from Modulo Sampling

〇Haruto Takeoka1, Wataru Yata1, Keita Kume1, Isao Yamada1 (1. Department of Information and Communications Engineering, Institute of Science Tokyo)