EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY

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Bibliographic Details
Main Author:	TUI YUN NING ADELINE
Other Authors:	BUILDING
Format:	Dissertation
Language:	English
Published:	2019
Subjects:	Building PFM Project and Facilities Management Goh Yang Miang 2019/2020 PFM Computer Vision Deep Learning Faster R-CNN SSD YOLO Load detection Workplace safety and health
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/222247
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-222247
record_format	dspace
spelling	sg-nus-scholar.10635-2222472022-05-13T02:59:52Z EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY TUI YUN NING ADELINE BUILDING GOH YANG MIANG Building PFM Project and Facilities Management Goh Yang Miang 2019/2020 PFM Computer Vision Deep Learning Faster R-CNN SSD YOLO Load detection Workplace safety and health Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2019-12-03T03:16:51Z 2022-04-22T18:01:43Z 2020-01-06 2022-04-22T18:01:43Z 2019 Dissertation TUI YUN NING ADELINE (2019). EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/222247 en https://lib.sde.nus.edu.sg/dspace/handle/sde/4658
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Building PFM Project and Facilities Management Goh Yang Miang 2019/2020 PFM Computer Vision Deep Learning Faster R-CNN SSD YOLO Load detection Workplace safety and health
spellingShingle	Building PFM Project and Facilities Management Goh Yang Miang 2019/2020 PFM Computer Vision Deep Learning Faster R-CNN SSD YOLO Load detection Workplace safety and health TUI YUN NING ADELINE EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY
description	Bachelor's
author2	BUILDING
author_facet	BUILDING TUI YUN NING ADELINE
format	Dissertation
author	TUI YUN NING ADELINE
author_sort	TUI YUN NING ADELINE
title	EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY
title_short	EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY
title_full	EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY
title_fullStr	EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY
title_full_unstemmed	EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY
title_sort	evaluating the performances of various deep learning algorithms in lifted load detection for construction safety
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/222247
_version_	1734309704383856640

EVALUATING THE PERFORMANCES OF VARIOUS DEEP LEARNING ALGORITHMS IN LIFTED LOAD DETECTION FOR CONSTRUCTION SAFETY

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