Real-Time Progress Monitoring of In-Door Construction Using Deep Learning and Web-Based Application

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TextPublication details: Risalpur, MCE, 2022.Description: xvii,117 pagesSubject(s):

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Holdings
Item type	Current library	Call number	Status	Barcode
Books	NUST/MCE Iqbal Library	T-352 (Browse shelf(Opens below))	Available	T-352

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	T-35 A Feasibilty Study of Soil for inundation	T-350 Impact of Engineers’ Emotional Intelligence on their Job Performance in Construction Industry: Mediating Role of Work Engagement	T-351 Managing The Project Scope Creep by Using VR Technology A Stakeholder Communication Perspective	T-352 Real-Time Progress Monitoring of In-Door Construction Using Deep Learning and Web-Based Application	T-353 Developing Application-Based Approach for Effective Communication of Change Orders in Construction Projects Led by SME Construction Firms	T-354 Performance Evaluation of Flexible Pavement by Using CNT and Plastic Waste as Admixtures	T-355 Expansive Soil Stabilization of Subgrade with Lime for Ravi - Chenab Corridor	Next

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