[4Q3-IS-2d] Machine learning

2024年5月31日(金) 14:00 〜 15:40 Q会場 (402会議室)

座長：三浦輝久（電力中央研究所）

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14:00 〜 14:20

[4Q3-IS-2d-01] An Effective Approach to Enhance ECG Signal Processing for Improved Classification

〇Iffat Maab¹, Usman Haider³, Edison Marrese-Taylor¹, Sabahat Asif Durrani², Muhammad Hanif², Yutaka Matsuo¹ (1. The University of Tokyo, 2. Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, 3. National University of Computer and Emerging Sciences, Islamabad)

14:20 〜 14:40

[4Q3-IS-2d-02] A Comparative Study of Content Dependent and Independent Emotion Recognition using Convolutional Neural Network Based on DEAP Dataset

〇Zhiying Huang¹, Ao Guo², Jianhua Ma¹ (1. Hosei University, 2. Nagoya University)

14:40 〜 15:00

[4Q3-IS-2d-03] Artificial Intelligence-Based Models to Predict the Activation State of Coronavirus Molecular Pathway Networks

〇Shihori Tanabe¹, Sabina Quader², Ryuichi Ono¹, Horacio Cabral³, Kazuhiko Aoyagi⁴, Edward J Perkins⁵, Hiroshi Yokozaki⁶, Hiroki Sasaki⁴ (1. National Institute of Health Sciences, 2. Innovation Center of NanoMedicine, 3. The Univ. of Tokyo, 4. National Cancer Center Research Institute, 5. US Army Engineer Research and Development Center, 6. Kobe Univ.)

15:00 〜 15:20

[4Q3-IS-2d-04] BiLSTM-Attention Deep neural networks for Electrocardiogram arrhythmia classification

〇YUAN YAWEN¹ (1. Kyushu university)

15:20 〜 15:40

[4Q3-IS-2d-05] A machine learning model for predicting quantum chemistry based protein-drug molecule interactions

〇Ryosuke Kita¹, Chiduru Watanabe², Masateru Ohta², Naoki Tanimura³, Koji Okuwaki⁴, Mitsunori Ikeguchi^2,5, Kaori Fukuzawa⁶, Teruki Honma², Tsuyohiko Fujigaya¹, Koichiro Kato¹ (1. Department of Applied Chemistry, Kyushu University, 2. RIKEN Center , 3. Mizuho Research & Technologies, Ltd, 4. JSOL Corporaion, 5. Yokohama City University, 6. Department of Pharmacy, Osaka University)

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