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A hybrid approach of feature engineering and convolutional neural networks for images classification

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Material type: Text

TextPublication details: Islamabad (unpublished) 2023Description: : ill, 145 p. : ill. ; 30 cm. +CDSubject(s):

DDC classification:

Dissertation note: Thesis (MS)--Riphah International University, 2023

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	005.1 IZA (Browse shelf(Opens below))	1	NOT for LOAN		102031

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Previous	005.1 INT Introduction to algorithms	005.1 INT Introduction to Algorithms	005.1 INT Introduction to algorithms	005.1 IZA A hybrid approach of feature engineering and convolutional neural networks for images classification	005.1 JAC Software abstractions	005.1 JAH Threat modeling through detection, classification & prediction of leading-to-vulnerability code smells	005.1 JOH Program smarter, not harder	Next

Submitted in the partial fulfillment of the requirements for the degree of Master of Science in Software Engineering in the Faculty of Computing.

Includes bibliographical references

Thesis supervisor: Prof. Dr. M. Mansoor Alam
Thesis co-supervisor: Dr. Saeed Iqbal Khattak

Thesis (MS)--Riphah International University, 2023

English

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