Academic Thesis

Basic information

Name Sato Takeharu
Belonging department
Occupation name
researchmap researcher code B000363321
researchmap agency Okayama University of Science

Title 

Assessment for sediment disasters considering topographical features of the neighborhood by deep learning

					

					

						

							

								

									
Bibliography　Type 

									
								

							

						

						
Sole Author

					

					

						

							

								

									
Author 

									
								

							

						

						
佐藤丈晴

					

					

						

							

								

									
Summary 

									
								

							

						

						
Digital Elevation Model(DEM), Terrain quantity, deep learning, risk assessment, sediment disasters

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
砂防学会誌

					

					

						

							

								

									
Publisher 

									
								

							

						

						

					

					

						

							

								

									
Volume 

									
								

							

						

						
74

					

					

						

							

								

									
Number Of Pages 

									
								

							

						

						
2

					

					

						

							

								

									
StartingPage 

									
								

							

						

						

					

					

						

							

								

									
EndingPage 

									
								

							

						

						

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
2021/07

					

					

						

							

								

									
Referee 

									
								

							

						

						
Exist

					

					

						

							

								

									
Invited 

									
								

							

						

						
Not exist

					

					

						

							

								

									
Language 

									
								

							

						

						
Japanese

					

					

						

							

								

									
Thesis　Type 

									
								

							

						

						
Research papers (academic journals)

					

					

						

							

								

									
ISSN 

									
								

							

						

						

					

					

						

							

								

									
DOI 

									
								

							

						

						

					

					

						

							

								

									
NAID 

									
								

							

						

						

					

					

						

							

								

									
PMID 

									
								

							

						

						

					

					

						

							

								

									
URL 

									
								

							

						

						

					

					

						

							

								

									
J-GLOBAL ID 

									
								

							

						

						

					

					

						

							

								

									
arXiv ID 

									
								

							

						

						

					

					

						

							

								

									
ORCID Put Code 

									
								

							

						

						

					

					

						

							

								

									
DBLP ID