Staff View: Feature recognition and classification of shanxi cave dwellings based on deep learning

Feature recognition and classification of shanxi cave dwellings based on deep learning

Cave dwelling architecture is a unique style of architecture, and it is also the embodiment of Chinese traditional culture in China. It is widely used in the life of working people in ancient China. According to studies, a significant number of people still live in above-ground underground houses an...

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Main Authors:	Jia, Zong, Wan Mohamed, Wan Srihani, Zaky Jaafar, Mohamad Fakri, Ujang, Norsidah
Format:	Article
Published:	Human Resource Management Academic Research Society 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/107994/ https://hrmars.com/index.php/IJARBSS/article/view/20057/Feature-Recognition-and-Classification-of-Shanxi-Cave-Dwellings-Based-on-Deep-Learning
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id	my.upm.eprints.107994
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spelling	my.upm.eprints.1079942024-09-26T04:38:46Z http://psasir.upm.edu.my/id/eprint/107994/ Feature recognition and classification of shanxi cave dwellings based on deep learning Jia, Zong Wan Mohamed, Wan Srihani Zaky Jaafar, Mohamad Fakri Ujang, Norsidah Cave dwelling architecture is a unique style of architecture, and it is also the embodiment of Chinese traditional culture in China. It is widely used in the life of working people in ancient China. According to studies, a significant number of people still live in above-ground underground houses and cave dwellings in Australia, Spain, China, Turkey, and Tunisia, and over 40 million people do so in China. However, with the continuous development of society, cave dwellings are gradually unable to meet the needs of more and more people for comparison and work, and tend to be weak. Shanxi cave dwellings have been greatly challenged. Against this background, the aim of this research is to renew and develop cave dwellings better. The research methodology is quantitative method and exploratory research approach. Based on the premise of deep learning to identify and classify the architectural features of Shanxi cave dwellings. In this study, 200 questionnaires were used to measure the residents' requirements for cave dwellings. Through detailed investigation and research on specific examples in Shanxi, the results are as follows: (1) We identify and classify the architectural features of Shanxi cave dwellings based on deep learning algorithm so that we can better understand and explore Shanxi cave dwellings. (2) By analyzing the present situation of examples, it is concluded that most villagers affirm the living comfort and regional adaptability of cave buildings, and the identification and classification of cave building features in Shanxi based on deep learning can provide effective reference, in order to better complete the renovation and development of cave buildings in Shanxi. Human Resource Management Academic Research Society 2023 Article PeerReviewed Jia, Zong and Wan Mohamed, Wan Srihani and Zaky Jaafar, Mohamad Fakri and Ujang, Norsidah (2023) Feature recognition and classification of shanxi cave dwellings based on deep learning. International Journal of Academic Research in Business and Social Sciences, 13 (12). pp. 1574-1594. ISSN 2308-3816; ESSN: 2222-6990 https://hrmars.com/index.php/IJARBSS/article/view/20057/Feature-Recognition-and-Classification-of-Shanxi-Cave-Dwellings-Based-on-Deep-Learning 10.6007/ijarbss/v13-i12/20057
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
description	Cave dwelling architecture is a unique style of architecture, and it is also the embodiment of Chinese traditional culture in China. It is widely used in the life of working people in ancient China. According to studies, a significant number of people still live in above-ground underground houses and cave dwellings in Australia, Spain, China, Turkey, and Tunisia, and over 40 million people do so in China. However, with the continuous development of society, cave dwellings are gradually unable to meet the needs of more and more people for comparison and work, and tend to be weak. Shanxi cave dwellings have been greatly challenged. Against this background, the aim of this research is to renew and develop cave dwellings better. The research methodology is quantitative method and exploratory research approach. Based on the premise of deep learning to identify and classify the architectural features of Shanxi cave dwellings. In this study, 200 questionnaires were used to measure the residents' requirements for cave dwellings. Through detailed investigation and research on specific examples in Shanxi, the results are as follows: (1) We identify and classify the architectural features of Shanxi cave dwellings based on deep learning algorithm so that we can better understand and explore Shanxi cave dwellings. (2) By analyzing the present situation of examples, it is concluded that most villagers affirm the living comfort and regional adaptability of cave buildings, and the identification and classification of cave building features in Shanxi based on deep learning can provide effective reference, in order to better complete the renovation and development of cave buildings in Shanxi.
format	Article
author	Jia, Zong Wan Mohamed, Wan Srihani Zaky Jaafar, Mohamad Fakri Ujang, Norsidah
spellingShingle	Jia, Zong Wan Mohamed, Wan Srihani Zaky Jaafar, Mohamad Fakri Ujang, Norsidah Feature recognition and classification of shanxi cave dwellings based on deep learning
author_facet	Jia, Zong Wan Mohamed, Wan Srihani Zaky Jaafar, Mohamad Fakri Ujang, Norsidah
author_sort	Jia, Zong
title	Feature recognition and classification of shanxi cave dwellings based on deep learning
title_short	Feature recognition and classification of shanxi cave dwellings based on deep learning
title_full	Feature recognition and classification of shanxi cave dwellings based on deep learning
title_fullStr	Feature recognition and classification of shanxi cave dwellings based on deep learning
title_full_unstemmed	Feature recognition and classification of shanxi cave dwellings based on deep learning
title_sort	feature recognition and classification of shanxi cave dwellings based on deep learning
publisher	Human Resource Management Academic Research Society
publishDate	2023
url	http://psasir.upm.edu.my/id/eprint/107994/ https://hrmars.com/index.php/IJARBSS/article/view/20057/Feature-Recognition-and-Classification-of-Shanxi-Cave-Dwellings-Based-on-Deep-Learning
_version_	1811685975056711680
score	13.223943

Feature recognition and classification of shanxi cave dwellings based on deep learning

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