Machine Learning to Assess Urbanistic Development in the South Pole of Lima City

Bibliographic Details
Main Authors: Nieto-Chaupis, Huber, Alfaro-Acuña, Anthony
Format: Book Part
Language:unknown
Published: Springer International Publishing 2022
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-030-94514-5_33
https://link.springer.com/content/pdf/10.1007/978-3-030-94514-5_33
id crspringernat:10.1007/978-3-030-94514-5_33
record_format openpolar
spelling crspringernat:10.1007/978-3-030-94514-5_33 2024-03-10T08:37:23+00:00 Machine Learning to Assess Urbanistic Development in the South Pole of Lima City Nieto-Chaupis, Huber Alfaro-Acuña, Anthony 2022 http://dx.doi.org/10.1007/978-3-030-94514-5_33 https://link.springer.com/content/pdf/10.1007/978-3-030-94514-5_33 unknown Springer International Publishing https://www.springer.com/tdm https://www.springer.com/tdm https://www.springer.com/tdm https://www.springer.com/tdm Proceedings of the 7th International Conference on Architecture, Materials and Construction Lecture Notes in Civil Engineering page 325-337 ISSN 2366-2557 2366-2565 ISBN 9783030945138 9783030945145 book-chapter 2022 crspringernat https://doi.org/10.1007/978-3-030-94514-5_33 2024-02-13T18:56:30Z Book Part South pole Springer Nature South Pole 325 337
institution Open Polar
collection Springer Nature
op_collection_id crspringernat
language unknown
format Book Part
author Nieto-Chaupis, Huber
Alfaro-Acuña, Anthony
spellingShingle Nieto-Chaupis, Huber
Alfaro-Acuña, Anthony
Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
author_facet Nieto-Chaupis, Huber
Alfaro-Acuña, Anthony
author_sort Nieto-Chaupis, Huber
title Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
title_short Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
title_full Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
title_fullStr Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
title_full_unstemmed Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
title_sort machine learning to assess urbanistic development in the south pole of lima city
publisher Springer International Publishing
publishDate 2022
url http://dx.doi.org/10.1007/978-3-030-94514-5_33
https://link.springer.com/content/pdf/10.1007/978-3-030-94514-5_33
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_source Proceedings of the 7th International Conference on Architecture, Materials and Construction
Lecture Notes in Civil Engineering
page 325-337
ISSN 2366-2557 2366-2565
ISBN 9783030945138 9783030945145
op_rights https://www.springer.com/tdm
https://www.springer.com/tdm
https://www.springer.com/tdm
https://www.springer.com/tdm
op_doi https://doi.org/10.1007/978-3-030-94514-5_33
container_start_page 325
op_container_end_page 337
_version_ 1793134393603129344