Spatial interpolation of geophysical investigation results based on deep neural network

Authors

Institutions

Publication Details

Journal
BUTSURI-TANSA(Geophysical Exploration)
Published
2025-01-01
DOI
https://doi.org/10.3124/segj.78.sp16
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial interpolation of geophysical investigation results based on deep neural network

Kôichi Hayashi, T. Suzuki, Chisato Konishi, Tomio Inazaki et al.
BUTSURI-TANSA(Geophysical Exploration)
Geological Modeling and Analysis
article

Spatial interpolation of geophysical investigation results based on deep neural network

Kôichi Hayashi, T. Suzuki, Chisato Konishi, Tomio Inazaki, Haruhiko Suzuki, Hisanori Matsuyama
article en

Abstract

No abstract available for this paper.
BUTSURI-TANSA(Geophysical Exploration)Vol. 78(0)
Kyoto University (JP), Prevention Institute (US), Center for Non-Communicable Diseases (PK)
Openalex Percentile: Top 78%
Geological Modeling and Analysis
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatial interpolation of geophysical investigation results based on deep neural network — Kôichi Hayashi, T. Suzuki, et al. · BUTSURI-TANSA(Geophysical Exploration) (2025) | TGRS Research Map | TGRS