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• Conference contribution

  Decision support systems for creative city design: Rethinking urban competitiveness

  Lin, L. C. & Watada, J., 2009, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. p. 2245-2250 6 p. 5345888

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Decision tree induction from numeric data stream

  Nishimura, S., Terabe, M. & Hashimoto, K., 2008, AI 2008: Advances in Artificial Intelligence - 21st Australasian Joint Conference on Artificial Intelligence, Proceedings. p. 311-317 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5360 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Decision tree learning system with switching evaluator

  Koshiba, T., 1996, Advances in Artificial Intelligence - 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 1996, Proceedings. McCalla, G. (ed.). Springer Verlag, p. 349-361 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1081).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decoding mental states in bistable perception by using source based wavelet features

  Sen, S., Watanabe, K., Bhattacharya, J. & Saha, G., 2018 Feb 2, 2017 IEEE Calcutta Conference, CALCON 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 144-149 6 p. (2017 IEEE Calcutta Conference, CALCON 2017 - Proceedings; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decoding network optimization using minimum transition error training

  Kubo, Y., Watanabe, S. & Nakamura, A., 2012, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. p. 4197-4200 4 p. 6288844. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Decoding subjective simultaneity from neuromagnetic signals

  Takahashi, K., Hidaka, S. & Watanabe, K., 2010 May 21, 17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag2010. p. 191-194 4 p. (IFMBE Proceedings; vol. 28).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decoding syllables from human fMRI activity

  Otaka, Y., Osu, R., Kawato, M., Liu, M., Murata, S. & Kamitani, Y., 2008 Oct 23, Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 2 ed. p. 979-986 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4985 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Decomposition instead of self-composition for proving the absence of timing channels

  Antonopoulos, T., Gazzillo, P., Hicks, M., Koskinen, E., Terauchi, T. & Wei, S., 2017 Jun 14, PLDI 2017 - Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation. Cohen, A. & Vechev, M. (eds.). Association for Computing Machinery, p. 362-375 14 p. (Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI); vol. Part F128414).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  55 Citations (Scopus)

• Decomposition of a term-document matrix representation for faithful customer analysis

  Yang, J. & Watada, J., 2013, Frontiers in Artificial Intelligence and Applications. Vol. 255. p. 168-177 10 p. (Frontiers in Artificial Intelligence and Applications; vol. 255).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decomposition of monaural sound with unknown number of sources

  Murayama, T. & Hashimoto, S., 2006, Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006. p. 436-442 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decomposition of term-document matrix representation for clustering analysis

  Yang, J. & Watada, J., 2011, IEEE International Conference on Fuzzy Systems. p. 976-983 8 p. 6007525

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Decouple PID control of ultra-compact binary power generation plant considering lager number of manipulated variables

  Han, K. Y. & Lee, H. H., 2014 Jan 1, Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014. Institute of Electrical and Electronics Engineers Inc., p. 87-92 6 p. 6864591. (IEEE International Symposium on Industrial Electronics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep 3D pose dictionary: 3D human pose estimation from single RGB image using deep convolutional neural network

  Elbasiony, R., Gomaa, W. & Ogata, T., 2018, Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, 2018, Proceedings. Manolopoulos, Y., Hammer, B., Kurkova, V., Iliadis, L. & Maglogiannis, I. (eds.). Springer Verlag, p. 310-320 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11141 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep beamforming networks for multi-channel speech recognition

  Xiao, X., Watanabe, S., Erdogan, H., Lu, L., Hershey, J., Seltzer, M. L., Chen, G., Zhang, Y., Mandel, M. & Yu, D., 2016 May 18, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5745-5749 5 p. 7472778. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  131 Citations (Scopus)

• Deep-blue light emission with a wide-bandgap naphthalene-derivative liquid organic semiconductor host

  Kobayashi, N., Kuwae, H., Oshima, J., Ishimatsu, R., Tashiro, S., Imato, T., Adachi, C., Shoji, S. & Mizuno, J., 2017, Organic Photonic Materials and Devices XIX 2017. SPIE, Vol. 10101. 101011B

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Deep clustering: Discriminative embeddings for segmentation and separation

  Hershey, J. R., Chen, Z., Le Roux, J. & Watanabe, S., 2016 May 18, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-May. p. 31-35 5 p. 7471631

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  856 Citations (Scopus)

• Deep Convolutional AutoEncoder-based Lossy Image Compression

  Cheng, Z., Sun, H., Takeuchi, M. & Katto, J., 2018 Sept 5, 2018 Picture Coding Symposium, PCS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 253-257 5 p. 8456308. (2018 Picture Coding Symposium, PCS 2018 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  88 Citations (Scopus)

• Deep face recognition under eyeglass and scale variation using extended siamese network

  Qiu, F., Kamata, S. I. & Ma, L., 2018 Dec 13, Proceedings - 4th Asian Conference on Pattern Recognition, ACPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 471-476 6 p. 8575869. (Proceedings - 4th Asian Conference on Pattern Recognition, ACPR 2017).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep Griffin-Lim Iteration

  Masuyama, Y., Yatabe, K., Koizumi, Y., Oikawa, Y. & Harada, N., 2019 May, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 61-65 5 p. 8682744. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  36 Citations (Scopus)

• Deep GRU-ensembles for active tactile texture recognition with soft, distributed skin sensors in dynamic contact scenarios

  Geier, A., Yan, G., Tomo, T. P., Somlor, S. & Sugano, S., 2020 Jan, Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020. Institute of Electrical and Electronics Engineers Inc., p. 127-132 6 p. 9025993. (Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Deep Inverse Tone Mapping Optimized for High Dynamic Range Display

  Hirao, K., Cheng, Z., Takeuchi, M. & Katto, J., 2018 Nov 16, 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc., p. 472-474 3 p. 8539648. (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• DeepIS: Susceptibility Estimation on Social Networks

  Xia, W., Li, Y., Wu, J. & Li, S., 2021 Aug 3, WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 761-769 9 p. (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Citations (Scopus)

• Deep Learning Based CoMP Transmission Method Using Vehicle Position Information for Taxi Radio Systems

  Kojima, K., Shimbo, Y., Suganuma, H. & Maehara, F., 2020 Feb, 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020. Institute of Electrical and Electronics Engineers Inc., p. 253-256 4 p. 9065193. (2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Deep Learning Based Concealed Object Recognition in Active Millimeter Wave Imaging

  Myint, S. H., Katsuyama, Y., Sato, T., Qi, X., Tamesue, K., Wen, Z., Yu, K., Tokuda, K. & Sato, T., 2021, 2021 IEEE Asia-Pacific Microwave Conference, APMC 2021. Institute of Electrical and Electronics Engineers Inc., p. 434-436 3 p. (Asia-Pacific Microwave Conference Proceedings, APMC; vol. 2021-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep Learning Based Hybrid Multiple Access Consisting of SCMA and OFDMA Using User Position Information

  Kumagai, Y., Gonda, N., Shimbo, Y., Suganuma, H. & Maehara, F., 2021 Apr 13, 3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2021. Institute of Electrical and Electronics Engineers Inc., p. 10-13 4 p. 9415180. (3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep Learning-based Management for Wastewater Treatment Plants under Blockchain Environment

  Wan, K., Guo, Z., Wang, J., Zeng, W., Gao, X., Shen, Y. & Yu, K., 2020 Aug, 2020 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2020. Institute of Electrical and Electronics Engineers Inc., p. 106-110 5 p. 9209927. (2020 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Deep Learning Based Resource Allocation Method to Control System Capacity and Fairness for MU-MIMO THP

  Shimbo, Y., Suganuma, H., Tomeba, H., Onodera, T. & Maehara, F., 2021 Apr, 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9449018. (IEEE Vehicular Technology Conference; vol. 2021-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning-based R-R Interval Estimation by Using Smartphone Sensors during Exercise

  Shirasaki, S., Kanai, K. & Katto, J., 2021 Jan 10, 2021 IEEE International Conference on Consumer Electronics, ICCE 2021. Institute of Electrical and Electronics Engineers Inc., 9427634. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; vol. 2021-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition

  Meng, Z., Watanabe, S., Hershey, J. R. & Erdogan, H., 2017 Jun 16, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 271-275 5 p. 7952160. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  64 Citations (Scopus)

• Deep metric learning with online hard and soft selection for person re-identification

  Yu, M. & Kamata, S. I., 2019 Feb 12, 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018. Institute of Electrical and Electronics Engineers Inc., p. 426-431 6 p. 8641037. (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation

  Wang, Q. & Iwaihara, M., 2019 Apr 1, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8679233. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  15 Citations (Scopus)

• Deep-Neural-Network-based Process Data Simulation Model for Production Well of a Geothermal Power Plant

  Imagawa, A., Yoshida, A. & Amano, Y., 2021, ECOS 2021 - 34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. ECOS 2021 Program Organizer, p. 531-542 12 p. (ECOS 2021 - 34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Neural Network Pruning Using Persistent Homology

  Watanabe, S. & Yamana, H., 2020 Dec, Proceedings - 2020 IEEE 3rd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2020. Institute of Electrical and Electronics Engineers Inc., p. 153-156 4 p. 9355454. (Proceedings - 2020 IEEE 3rd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Deep neural networks with mixture of experts layers for complex event recognition from images

  Li, M. & Kamata, S. I., 2019 Feb 12, 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018. Institute of Electrical and Electronics Engineers Inc., p. 410-415 6 p. 8641027. (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Deep packet inspection based application-aware traffic control for software defined networks

  Li, G., Dong, M., Ota, K., Wu, J., Li, J. & Ye, T., 2016, 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7841721. (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  33 Citations (Scopus)

• DEEP PEDESTRIAN DENSITY ESTIMATION FOR SMART CITY MONITORING

  Murayama, K., Kanai, K., Takeuchi, M., Sun, H. & Katto, J., 2021, 2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings. IEEE Computer Society, p. 230-234 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2021-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Pedestrian Distance Estimation from Single-shot Image

  Murayama, K., Kanai, K., Takeuchi, M. & Katto, J., 2020 Oct 13, 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020. Institute of Electrical and Electronics Engineers Inc., p. 276-277 2 p. 9291915. (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition

  Weninger, F., Watanabe, S., Tachioka, Y. & Schuller, B., 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 4623-4627 5 p. 6854478. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  71 Citations (Scopus)

• Deep Reinforcement Learning based Smart Mitigation of DDoS Flooding in Software-Defined Networks

  Liu, Y., Dong, M., Ota, K., Li, J. & Wu, J., 2018 Oct 29, 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018. Institute of Electrical and Electronics Engineers Inc., 8514971. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD; vol. 2018-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  31 Citations (Scopus)

• DEEP RESIDUAL NETWORKS WITH COMMON LINEAR MULTI-STEP AND ADVANCED NUMERICAL SCHEMES

  Luo, Z., Zhou, W., Kamata, S. I. & Hu, X., 2022, 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. IEEE Computer Society, p. 3286-3290 5 p. (Proceedings - International Conference on Image Processing, ICIP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network

  Jami'In, M. A., Sutrisno, I. & Hu, J., 2013 Dec 1, 2013 International Joint Conference on Neural Networks, IJCNN 2013. 6707091. (Proceedings of the International Joint Conference on Neural Networks).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  8 Citations (Scopus)

• Deep Speech Extraction with Time-Varying Spatial Filtering Guided by Desired Direction Attractor

  Nakagome, Y., Togami, M., Ogawa, T. & Kobayashi, T., 2020 May, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 671-675 5 p. 9053629. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Deep Transfer Learning Based PPI Prediction for Protein Complex Detection

  Yuan, X., Deng, H. & Hu, J., 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Institute of Electrical and Electronics Engineers Inc., p. 321-326 6 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep unfolding for multichannel source separation

  Wisdom, S., Hershey, J., Le Roux, J. & Watanabe, S., 2016 May 18, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 121-125 5 p. 7471649. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  23 Citations (Scopus)

• Defect analysis and prediction by applying the multistage software reliability growth model

  Chi, J., Honda, K., Washizaki, H., Fukazawa, Y., Munakata, K., Morita, S., Uehara, T. & Yamamoto, R., 2017 May 10, Proceedings - 8th IEEE International Workshop on Empirical Software Engineering in Practice, IWESEP 2017. Institute of Electrical and Electronics Engineers Inc., p. 7-11 5 p. 7925417

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  12 Citations (Scopus)

• Defining patients with depressive disorder by using textual information

  Nakamura, T., Kubo, K., Usuda, Y. & Aramaki, E., 2014, Big Data Becomes Personal: Knowledge into Meaning - Papers from the AAAI Spring Symposium, Technical Report. AI Access Foundation, p. 39-44 6 p. (AAAI Spring Symposium - Technical Report; vol. SS-14-01).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Defocus blur correcting projector-camera system

  Oyamada, Y. & Saito, H., 2008, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5259 LNCS. p. 453-464 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5259 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  11 Citations (Scopus)

• Defocusing nano particle image velocimetry for nanochannel flows

  Shibata, K., Kazoe, Y., Mawatari, K. & Kitamori, T., 2020, 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017. Chemical and Biological Microsystems Society, p. 261-262 2 p. (21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deformability-based microfluidic microdroplet sorting as a screening method for single agarolytic bacterial cells

  Muta, M., Saito, K., Iizuka, R., Kawakubo, W., Yoon, D. H., Ito, M., Hatada, Y., Sekiguchi, T., Shoji, S. & Funatsu, T., 2020, MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Chemical and Biological Microsystems Society, p. 48-49 2 p. (MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• DEFORMABLE 3D-PRINTED SOFT MICROFLUIDIC DEVICES

  Futatsubashi, H., Morimoto, Y. & Takeuchi, S., 2021, MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Chemical and Biological Microsystems Society, p. 1251-1252 2 p. (MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution