IGPS Seminar

1. Kagami Yu (B4)

中生代の海洋無酸素事変による固体地球の強制力

(Solid Earth forcing of Mesozoic oceanic anoxic events)

Gernon, T.M., Mills, B.J.W., Hincks, T.K. et al. (2024) Solid Earth forcing of Mesozoic oceanic anoxic events. Nat. Geosci. 17, 926–935.

DOI: 10.1038/s41561-024-01496-0

2. Arikawa tamawo (B4)

一つの造山サイクル内に記録された二段階の超高温変成作用

(Two episodes of ultrahigh-temperature metamorphism within one orogenic cycle)

Dong, J., Wei, C., Song, S., Zhao, G., & Zhang, G. (2026). Two episodes of ultrahigh-temperature metamorphism within one orogenic cycle. Earth and Planetary Science Letters, 679, 119887.

DOI: 10.1016/j.epsl.2026.119887

3. Oyama Kakeru (M1)

深層学習を用いた物体検出モデルと微小化石の解析への活用

(Deep Learning Object Detection and Its Application to Microfossil Analysis)

10.1109/JPROC.2023.3238524

DOI:

Ishino, S., Itaki, T., & Fukuda, M. (2025). Deep learning object detection for fossil diatom counting: assessing the impact of fossil preservation and intraspecific morphological variation. Marine Micropaleontology, 102519.

DOI: 10.1016/j.marmicro.2025.102519

4. Tsurumachi Yuki (M1)

機械学習を用いた沈み込み帯テクトニック微動の検出と震源決定

(Machine Learning-Based Detection and Localization of Tectonic Tremors in Subduction Zones)

Sagae, K., Kano, M., Yabe, S., & Uchide, T. (2025). Machine learning-based detection and localization of tectonic tremors in the Japan Trench. Journal of Geophysical Research: Solid Earth, 130, e2025JB031348.

DOI: 10.1029/2025JB031348

Sugii, A., Hiramatsu, Y., Uchide, T., & Imanishi, K. (2024). Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis. Earth, Planets and Space, 76, Article 179.

DOI: 10.1186/s40623-024-02126-0

5. Bold Munkhdelger (D3)

Continental Rifting in Orogenic Belts: An Overview

(Continental Rifting in Orogenic Belts: An Overview)

DOI: