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DETECTING ROAD SIDE LITTER BY USING DEEP LEARNING ON CCTV IMAGERY / ASIM SOHAIL.

By: ASIM SOHAIL (TP048257)Contributor(s): Mr. Manoj Jayabalan [Supervisor.]Material type: Text

TextPublication details: Kuala Lumpur : Asia Pacific University, 2019Description: xii, 74 p. : ill. ; 30 cmSubject(s): Machine learning -- Technological innovations | Application software -- Development | Image processingLOC classification: PM-31-25Dissertation note: A thesis submitted in fulfillment of the requirement of Asia Pacific University of Technology and Innovation for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1711DSBA)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Reference	APU Library Reference Collection	Masters Theses	PM-31-25 (Browse shelf (Opens below))	1	Not for loan		00017355

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Previous	PM-31-22 A FRAMEWORK MODEL FOR CONTINUOUS AUDITING IN FINANCIAL STATEMENT AUDITS USING BIG DATA ANALYTICS /	PM-31-23 AN ADOPTION MODEL FOR UNIFIED COMMUNICATION IN LARGE ENTERPRISES /	PM-31-24 OPINION SPAM DETECTION USING TOPIC SPECIFIC WORD EMBEDDING FOR REVIEWS IN THE RESTAURANT INDUSTRY /	PM-31-25 DETECTING ROAD SIDE LITTER BY USING DEEP LEARNING ON CCTV IMAGERY /	PM-31-25 A SOFTWARE RE-ENGINEERING APPROACH FOR REAL TIME APPLICATION TRANSFORM INTO BLOCKCHAIN PLATFORM APPLICATION /	PM-31-27 DESIGN OF WIDEBAND AND POWER AMPLIFIER FOR MOBILE COMMUNICATION IN LITE BANDS /	PM-31-28 ACTIVE NOISE REDUCTION FOR INDUSTRIAL HVAC SYSTEM /	Next

A thesis submitted in fulfillment of the requirement of Asia Pacific University of Technology and Innovation for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1711DSBA)

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Asia Pacific University Library catalogue

DETECTING ROAD SIDE LITTER BY USING DEEP LEARNING ON CCTV IMAGERY / ASIM SOHAIL.

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