Automated optimal parking slot prediction using deep learning and digital twin technology aided parking space management for material science application

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Automated optimal parking slot prediction using deep learning and digital twin technology aided parking space management for material science application

As vehicles on the roadside increase exponentially, drivers find it complicated to recognize parking areas. This makes it essential to identify an optimized model for resolving the vehicle-parking issues. In other words, a practical model must be implemented to identify outdoor parking slot status u...

書誌詳細
出版年:	ALEXANDRIA ENGINEERING JOURNAL
主要な著者:	Lu, Ke; Zheng, Bei; Shi, Jingjing; Xu, Yaowen
フォーマット:	論文
言語:	English
出版事項:	ELSEVIER 2025
主題:	Engineering
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001447049000001

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