This is for a computer science class Review the following two papers (check File>Week 7) 1. L. Hashemi et. al., "Deep Convolutional Neural Networks for Weeds and Crops Discrimination for UAS Imagery", Frontiers in remote Sensing, 2022, 3, 1-12. 2. Y. Liao et. al., "Deep Learning Classification of 2D Orthomosaic Images and 3D Point Clouds for Post Event Structural Damage Assessment", Drones, 2020, 4(24), 1-19. Submit a brief summary of each of the papers, and also it pros and cons.
This is for a computer science class Review the following two papers (check File>Week 7) 1. L. Hashemi et. al., "Deep Convolutional Neural Networks for Weeds and Crops Discrimination for UAS Imagery", Frontiers in remote Sensing, 2022, 3, 1-12. 2. Y. Liao et. al., "Deep Learning Classification of 2D Orthomosaic Images and 3D Point Clouds for Post Event Structural Damage Assessment", Drones, 2020, 4(24), 1-19. Submit a brief summary of each of the papers, and also it pros and cons.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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This is for a computer science class
Review the following two papers (check File>Week 7)
1. L. Hashemi et. al., "Deep Convolutional Neural Networks for Weeds and Crops Discrimination for UAS Imagery", Frontiers in remote Sensing, 2022, 3, 1-12.
2. Y. Liao et. al., "Deep Learning Classification of 2D Orthomosaic Images and 3D Point Clouds for Post Event Structural Damage Assessment", Drones, 2020, 4(24), 1-19.
Submit a brief summary of each of the papers, and also it pros and cons.
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