Description: Forgery Detection of Digital Images by Dr Sivaji U. The current study indicates that deep learning may be effectively used in applications including picture categorization, image identification, and object recognition by using several CNN architectures. On altered and/or bigger datasets, cost-effective picture classification is accomplished, and enhanced image feature mapping is derived from related images in text metadata using CNNs. Given the limited association between feature labels and comparable (and/or unrelated) pictures, employing feature map representations is demonstrated to be cheaper and quicker, but it does not increase the quality of the image classifications, suggesting that this technique is not ideal for assessing quality. However, using the newly acquired learnt weights, the findings of the current study may inspire further research into alternative counterfeit detection methods. Overall, our study shows that metadata sampling and categorization need a highly disciplined scaling model, which can be scored by using a pre-trained model, and which may be further developed in future phases. FORMAT Paperback CONDITION Brand New Details ISBN6207484207 Author Dr Sivaji U. Pages 68 Publisher LAP Lambert Academic Publishing Year 2024 ISBN-13 9786207484201 Format Paperback Publication Date 2024-04-05 Imprint LAP Lambert Academic Publishing Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:160260151;
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Location: Melbourne
End Time: 2025-01-27T03:18:37.000Z
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Format: Paperback
ISBN-13: 9786207484201
Author: Dr Sivaji U.
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Book Title: Forgery Detection of Digital Images
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