The Niigata University Data Science and AI Symposium 2024 was held on Thursday, September 19, 2024, at Bandai Silver Hotel (1-3-30 Bandai, Chuo-ku, Niigata City, Japan).
We gave the following poster presentation.
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- Tsubasa NAITO1， Ryuto ITO1， Yuichi TANAKA2， Shogo MURAMATSU1 (1. Niigata Univ.，2. Osaka Univ.) : DICTIONARY LEARNING FOR DIRECTED GRAPH SIGNALS VIA AUGMENTED GFT
- Phonepaserth Sisaykeo1, Hiroyasu Yasuda1, Kiyoshi Hayasaka1 and Shogo Muramatsu1 (1. Niigata University) : FLOW-PATH FITTING FROM IMAGES WITH SUPPORT VECTOR REGRESSION FOR RIVER HEALTH ASSESSMENT
- Ryuto Ito1, Tsubasa Naito1, Hiroyasu Yasuda1, Masaaki Nagahara2 and Shogo Muramatsu1 (1. Niigata Univ., 2. Hiroshima Univ.) : SPARSE-CODED TIME-DELAY GRAPH DMD FOR PREDICTION OF RIVER WATER LEVEL DISTRIBUTION
We engaged in insightful discussions on the latest trends in Generative AI, Big Data, and cloud technologies. The presentations sparked valuable exchanges, and the activity report provided a comprehensive view of cutting-edge research applications. The poster session also offered an opportunity to receive useful feedback through a lively exchange of ideas with the participants.
Overall, it was a stimulating experience, highlighting the significance of our work and fostering opportunities for future collaboration.
