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Categorizing Grape Diseases using Deep Convolutional Neural Network

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Publication details: Wah Cantt CUI Wah Computer Science Department 2022Description: Pages 72 12cmSubject(s):

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode	Item holds
Thesis/Dessertations/Reports	COMSATS University Wah Campus	Thesis 2020-22 (Browse shelf(Opens below))	53980	Not for loan		10004TP0053980

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Previous	Thesis 2020-2022 Influence of Despotic Leadership on Employee's Creativity: An Empirical Study of Service sector of Pakistan	Thesis 2020-22 HPD-K Clustering: A Novel Non-Parametric Approach	Thesis 2020-22 The Role of Research Academic Industry Collaboration on Industrial Productivity and Innovation	Thesis 2020-22 Categorizing Grape Diseases using Deep Convolutional Neural Network	Thesis 2020-22 Influence of the Practices of High-Performance work System on the Intrapreneurial Behavior of Employees: Mediating Effect of the Perceived Organizational Support	Thesis 2020-22 Designing and Evaluating Text-Free Interaction for e-government Services	Thesis 2020-22 Pedestrian Gender Classification using Deep Learning	Next

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