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Fingerprint Dive into the research topics where Tsubasa Minematsu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Cameras Engineering & Materials Science
Solar cell arrays Engineering & Materials Science
Camouflage Engineering & Materials Science
Learning Management System Mathematics
Solar concentrators Engineering & Materials Science
change detection Physics & Astronomy
Neural networks Engineering & Materials Science
Convolution Engineering & Materials Science

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Research Output 2015 2019

  • 41 Citations
  • 5 h-Index
  • 8 Conference contribution
  • 5 Article

Advanced tools for digital learning management systems in university education

Shimada, A., Minematsu, T. & Yamada, M., Jan 1 2019, Distributed, Ambient and Pervasive Interactions - 7th International Conference, DAPI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Streitz, N. & Konomi, S. (eds.). Springer Verlag, p. 419-429 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11587 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning Management System
Education
Learning systems
Teaching
Electronic Learning

Identifying solar panel defects with a CNN

Sireyjol, R., Granberg, P., Shimada, A., Minematsu, T. & Taniguchi, R., Jan 1 2019, Fourteenth International Conference on Quality Control by Artificial Vision. Cudel, C., Bazeille, S. & Verrier, N. (eds.). SPIE, 111720J. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11172).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Solar cell arrays
Solar concentrators
Complex networks
pattern recognition
Complex Networks

Robust vehicle detection and counting algorithm employing a convolution neural network and optical flow

Gomaa, A., Abdelwahab, M. M., Abo-Zahhad, M., Minematsu, T. & Taniguchi, R. I., Oct 2 2019, In : Sensors (Switzerland). 19, 20, 4588.

Research output: Contribution to journalArticle

Open Access
Optical flows
Convolution
convolution integrals
counting
vehicles

Simple background subtraction constraint for weakly supervised background subtraction network

Minematsu, T., Shimada, A. & Taniguchi, R. I., Sep 2019, 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019. Institute of Electrical and Electronics Engineers Inc., 8909896. (2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Supervised learning
Pixels
Masks
Neural networks
6 Citations (Scopus)

Analytics of deep neural network-based background subtraction

Minematsu, T., Shimada, A., Uchiyama, H. & Taniguchi, R. I., Jan 1 2018, In : Journal of Imaging. 4, 6, 78.

Research output: Contribution to journalArticle

Open Access
Observation
Deep neural networks
Experiments