Faculty Information - Daisuke Miki

■ Office

Tsudanuma Campus, No.7 Building,8th floor room 070808

■ Academic background

1.

2018/04～2021/03

〔Doctorial Course〕 Department of Nuclear Engineering and Management, Graduate School, Division of Engineering, The University of Tokyo, Completed, Ph.D

■ Present specialized field

Intelligent informatics, Perceptual information processing, Intelligent robotics

■ Works

1.	Article	New Apparatus and Evaluation Method for Salt Spray Tests Journal of the Institute of Industrial Applications Engineers 13(2),pp.7-14 (Collaboration) 2025/04/25
2.	Article	Applying Burn-in Strategy to Deep Reinforcement Learning with Spiking Neural Networks Proceedings of the 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS) pp.1-4 (Collaboration) 2024/11/12
3.	Article	Spiking neural networks-based generation of caterpillar-like soft robot crawling motions Artificial Life and Robotics 29,pp.519-527 (Collaboration) 2024/10/04
4.	Article	FMCW Radar-based Hand Motion Recognition using Weakly Supervised Deep Neural Network Proceedings of the 12th IIAE International Conference on Industrial Application Engineering 2024 pp.231-235 (Collaboration) 2024/03/29
5.	Article	Learning Caterpillar-Like Movements in Soft Robots with Spiking Neural Networks Proceedings of the 29th International Symposium on Artificial Life and Robotics pp.638-643 (Collaboration) 2024/01/26
6.	Article	Spike representation of depth image sequences and its application to　hand gesture recognition with spiking neural network Signal, Image and Video Processing 17(7),pp.3505-3513 (Collaboration) 2023/04/24
7.	Article	Visualization and Quantification of Corrosion Processes during Salt Spray Tests Proceedings of the 9th IIAE International Conference on Intelligent Systems and Image Processing 2022 pp.8-14 (Collaboration) 2022/09/08
8.	Article	Unnatural Human Motion Detection using Weakly Supervised Deep Neural Network Proceedings of 2020 Third International Conference on Artificial Intelligence for Industries (AI4I) pp.10-13 (Collaboration) 2020/09/21
9.	Article	Weakly supervised deep neural network for bearing fault diagnosis Proceedings of International Conference on Nuclear Engineering (Collaboration) 2020/08/04
10.	Article	Bearing fault diagnosis using weakly supervised long short-term memory Journal of nuclear science and technology 57(9),pp.1091-1100 (Collaboration) 2020/05/13
11.	Article	Robust human motion recognition from wide-angle images for video surveillance in nuclear power plants Mechanical Engineering Journal 19-00533,pp.1-8 (Collaboration) 2020/03/31
12.	Article	Weakly Supervised Graph Convolutional Neural Network for Human Action Localization Proceedings of 2020 IEEE Winter Conference on Applications of Computer Vision pp.642-650 (Collaboration) 2020/03/01
13.	Article	Robust human pose estimation from distorted wide-angle images through iterative search of transformation parameters Signal, Image and Video Processing 14(4),pp.693-700 (Collaboration) 2019/11/19
14.	Article	Robust Human Motion Recognition from Distorted Wide-Angle Images for Video Surveillance Proceedings of 27th International Conference on Nuclear Engineering (Collaboration) 2019/05/19
15.	Article	A gold nanoparticle-assisted sensitive SAW (surface acoustic wave) immunosensor with a regeneratable surface for monitoring of dust mite allergens Sensors and Actuators B: Chemical 249,pp.685-690 (Collaboration) 2017/04/13
16.	Article	Repetitive Immunoassay with a Surface Acoustic Wave Device and a Highly Stable Protein Monolayer for On-Site Monitoring of Airborne Dust Mite Allergens analytical chemistry pp.10470-10474 (Collaboration) 2015/09/15
17.	Article	Fiber-optic Fluoroimmunoassay for Determination of Dermatophagoides farinae Allergen by Flow Analysis Technique Sensors and Materials 25(9),pp.591-599 (Collaboration) 2013/10
Display 5 items
Display all(17)