研究業績

2018年度

主な論文・著書・特許等

1. Dao, M. S. and Zettsu, K. : Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images, 2018 IEEE International Conference on Big Data (BigData 2018), Seattle, WA, USA, pp.2160-2169 (December, 2018).DOI: 10.1109/BigData.2018.8621916
2. Dao, M.S. and Zettsu, K.: A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data, IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2018), Laguna Hills, CA, USA, pp.134-137 (September 2018).
3. Zhao, P. and Zettsu, K.: Convolution Recurrent Neural Networks for Short-Term Prediction of Atmospheric Sensing Data, The 4th IEEE International Conference on Smart Data (SmartData 2018), Halifax, Canada, pp.815-821 (July 2018).
4. Sato, T. O., Sato, T. M., Sagawa, H., Noguchi, K., Saitoh, N., Irie, H., Kita, K., Mahani, M. E., Zettsu, K., Imasu, R., Hayashida, S., and Kasai, Y.: Vertical profile of tropospheric ozone derived from synergetic retrieval using three different wavelength ranges, UV, IR, and microwave: sensitivity study for satellite observation, Atmospheric Measurement Techniques, Vol. 11, pp.1653-1668 (March 2018). DOI: 10.5194/amt-11-1653-2018