Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology

Over the last two decades, the identification of ancient artifacts has been regarded as one of the most challenging tasks for archaeologists. Chinese people consider these artifacts as symbols of their cultural heritage. The development of technology has helped in the identification of ancient artif...

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Autor principal:	Qiang Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/6776ba056e3b4ba4a81899383cb531f9
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id	oai:doaj.org-article:6776ba056e3b4ba4a81899383cb531f9
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spelling	oai:doaj.org-article:6776ba056e3b4ba4a81899383cb531f92021-11-22T01:11:12ZResearch Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology1530-867710.1155/2021/9971343https://doaj.org/article/6776ba056e3b4ba4a81899383cb531f92021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9971343https://doaj.org/toc/1530-8677Over the last two decades, the identification of ancient artifacts has been regarded as one of the most challenging tasks for archaeologists. Chinese people consider these artifacts as symbols of their cultural heritage. The development of technology has helped in the identification of ancient artifacts to a greater extent. The study preferred machine-learning algorithms to identify the ancient artifacts found throughout China. The major cities of China were selected for the study and classified the cities based on different features like temple, modern city, harbour, battle, and South China. The study used a decision tree algorithm for recognition and gradient boosting for perception aspects. According to the findings of the study, the algorithms produced 98% accuracy and prediction in detecting ancient artifacts in China. The proposed models provide a good indicator for detecting archaeological site locations.Qiang ZhaoHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Qiang Zhao Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology
description	Over the last two decades, the identification of ancient artifacts has been regarded as one of the most challenging tasks for archaeologists. Chinese people consider these artifacts as symbols of their cultural heritage. The development of technology has helped in the identification of ancient artifacts to a greater extent. The study preferred machine-learning algorithms to identify the ancient artifacts found throughout China. The major cities of China were selected for the study and classified the cities based on different features like temple, modern city, harbour, battle, and South China. The study used a decision tree algorithm for recognition and gradient boosting for perception aspects. According to the findings of the study, the algorithms produced 98% accuracy and prediction in detecting ancient artifacts in China. The proposed models provide a good indicator for detecting archaeological site locations.
format	article
author	Qiang Zhao
author_facet	Qiang Zhao
author_sort	Qiang Zhao
title	Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology
title_short	Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology
title_full	Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology
title_fullStr	Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology
title_full_unstemmed	Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology
title_sort	research ancient artifact identification methods under intelligent perception and recognition technology
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/6776ba056e3b4ba4a81899383cb531f9
work_keys_str_mv	AT qiangzhao researchancientartifactidentificationmethodsunderintelligentperceptionandrecognitiontechnology
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Research Ancient Artifact Identification Methods under Intelligent Perception and Recognition Technology

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