AUTOMATIC DETECTION OF CLOUDY AND NON-CLOUDY SAR IMAGES USING CONVOLUTIONAL NEURAL NETWORKS

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Material type: Text

TextLanguage: English Publication details: 2023Description: 74pDDC 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 SI-A (Browse shelf(Opens below))		Available		ETS/CSE/2023/280

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Previous	005 SA-D DEEP LEARNING BASED MODEL FOR DIABETIC RETINOPATHY CLASSIFICATION USING FUNDUS IMAGES	005 SA-D DEPRESSION PREDICTION USING DATA MINING AND STATISTICAL TECHNIQUES	005 SH-D Design of efficient lightweight digital forensics investigation model for IoT device	005 SI-A AUTOMATIC DETECTION OF CLOUDY AND NON-CLOUDY SAR IMAGES USING CONVOLUTIONAL NEURAL NETWORKS	005 SI-D Design and analysis of efficient task scheduling algorithms in fog computing environment	005 SO-E AN EFFICIENT COLLISION FREE PATH PLANNING FOR UNMANNED AERIAL VEHICLE	005 SU-D DETECTION OF CHROMOSOMAL ABERRATIONS IN INDIVIDUALS USING DEEP LEARNING BASED CLASSIFICATION APPROACH	Next

THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING