Kosuke Heki - SHAO
Kosuke Heki (Visiting Professor) Shanghai Astronomical Observatory, Chinese Academy of Sciences 80 Nandan Road, Shanghai 200030, China Tel: +86-21-34775291; Fax: +86-21-64384618 E-mail: [email protected] Website: …
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Kosuke Heki - Google Scholar
K Heki, Y Otsuka, N Choosakul, N Hemmakorn, T Komolmis, T Maruyama. Journal of Geophysical Research: Solid Earth 111 (B9), 2006. 175: 2006: Coseismic gravity changes of the 2010 earthquake in central Chile from satellite gravimetry. K Heki, K Matsuo. Geophysical Research Letters 37 (24), 2010. 170:
Prof. Kosuke Heki - geodynamics.sci.hokudai.ac.jp
Heki, K., Chapter 21: Ionospheric Disturbances Related to Earthquakes in Ionospheric Dynamics and Applications, Geophys. Monograph, 260, edited by C. Huang, G. Lu, Y. Zhang, and L. J. Paxton, pp.511-526, Wiley/American Geophysical Union, ISBN:978-1-119-50755-0, doi:10.1002/9781119815617.ch21,2021.
如何从理论上评价北海道大学教授日置幸介（Kosuke Heki）的“地 …
2018年11月15日 · 如何从理论上评价北海道大学教授日置幸介（Kosuke Heki）的“地震预测理论”？ 该理论认为，在震前30min或更长时间，空中的电离层会形成电子丛。 今年夏天日置幸介也在中国地震局地壳应力研究所做了关于这个理论的演讲，不知道科研人员对…
Kosuke Heki - JpGU
His achievements include studies of plate motions using VLBI and GNSS, studies of transient and seasonal crustal movements due to slow fault slips and snow loading using GNSS continuous observation data, studies of ionospheric disturbances associated with large earthquakes and volcanic eruptions by measuring ionospheric electrons using dual-freq...
Kosuke HEKI | Hokkaido University, Sapporo | Hokudai
Kosuke HEKI | Cited by 6,240 | of Hokkaido University, Sapporo (Hokudai) | Read 196 publications | Contact Kosuke HEKI
Kosuke Heki's research works | Hokkaido University, Sapporo …
Kosuke Heki's 38 research works with 273 citations and 5,046 reads, including: Anisotropy of the Near‐Field Coseismic Ionospheric Perturbation Amplitudes Reflecting the Source...
CGUN-2A: Deep Graph Convolutional Network via Contrastive
2022年12月18日 · We propose a top-k graph pooling method based on the self-attention mechanism to control specific node aggregation, and we introduce a dual structural symmetric knowledge graph additionally to enhance the representation of nodes in the latent space.
CGUN-2A: Deep Graph Convolutional Network via Contrastive …
2022年12月18日 · We propose a top-k graph pooling method based on the self-attention mechanism to control specific node aggregation, and we introduce a dual structural symmetric knowledge graph additionally to enhance the representation of nodes in the latent space.