LUMPY SKIN DISEAESE PREDICTION USING AN ENHANCED CNN ARCHITECTURE MOBILENET- V2

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Material type: Text

TextLanguage: English Publication details: 2023Description: 71pDDC classification:

Dissertation note: THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

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Item type	Current library	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Thesis & Dissertations	Central Library, NIT Jalandhar	Central Library, NIT Jalandhar	Reference	005 MA-L (Browse shelf(Opens below))		Available		ETS/CSE/2023/276

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Previous	005 KA-R Refactoring opportunity identification and sequencing using dynamic analysis	005 KA-T 5G TRAFFIC FORECASTING USING FEDERATED LEARNING.	005 LA-F FASTER DEPTH ESTIMATION IN SOCCER: A PLAYER CENTRIC APPROACH	005 MA-L LUMPY SKIN DISEAESE PREDICTION USING AN ENHANCED CNN ARCHITECTURE MOBILENET- V2	005 ME-N A novel multi-quadrant, integrated and secure approach of re-watermaking and fingerprinting for colored digital images	005 MI-F FLOW INTEROPERABILITY TESTING	005 PA-F FEASIBILITY MAPPING AND COST PREDICTION OF GREEN HYDROGEN PRODUCTIN IN VARIOUS STATES OF INDIA	Next

THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING