NUST Institutions Library Catalogue catalog › Details for: TH-SOF-1777-Pixel-Based Classification of Major Rice Varieties using Sentinel-2 L2A Data via CNN in Spectral and Time Domain

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TH-SOF-1777-Pixel-Based Classification of Major Rice Varieties using Sentinel-2 L2A Data via CNN in Spectral and Time Domain

TextPublisher: ISLAMABAD NUST COLLEGE OF EME 2020Subject(s): MS-MTS-16DDC classification: 200 THE

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Computer Files	College of Electrical & Mechanical Engineering (CEME)	College of Electrical & Mechanical Engineering (CEME)	Reference	200 THE (Browse shelf)	Available		TH-SOF-1777

Total holds: 0

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Previous	200 THE TH-SOF-1745-Recognition and Tracking of Fixed Shape Moving Objects based on Maximum Average Correlation Height (MACH) and Approximate Proximal Gradient (APG) filters	200 THE TH-SOF-1774-Sensor Fusion for Aerial Vehicle	200 THE TH-SOF-1775-Multi-modal Emotion Recognition Using Deep Learning Architectures	200 THE TH-SOF-1777-Pixel-Based Classification of Major Rice Varieties using Sentinel-2 L2A Data via CNN in Spectral and Time Domain	200 THE TH-SOF-1779-Source code summarization using Natural Language Processing in C #	200 THE TH-SOF-1780-Effect of fixture stiffness on the positioning error of the workpiece under machining and clamping forces	200 THE TH-SOF-1782-Fuzzy Logic Based Direct Load Control Scheme For Air Conditioning Load To Reduce Energy Consumption	Next

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