AN AIRCRAFT DETECTION FRAMEWORK BASED ON REINFORCEMENT LEARNING AND CONVOLUTIONAL NEURAL NETWORKS IN REMOTE SENSING IMAGES

An Aircraft Detection Framework Based on Reinforcement Learning and Convolutional Neural Networks in Remote Sensing Images

Aircraft detection has attracted increasing attention in the field of remote sensing image analysis.Complex background, illumination change Pop Top Bottle and variations of aircraft kind and size in remote sensing images make the task challenging.In our work, we propose an effective aircraft detection framework based on reinforcement learning and a

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Population attributable fraction in textbooks: Time to revise

Introduction: The population attributable fraction is an important measure for assessing the impact of intervention on the disease risk in populations, but it is frequently Beauty and Skincare Products misused in the research literature.Methods: In this study, we review the definition, calculation, interpretation and assumptions of PAF in 43 textbo

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Pengaruh Pertumbuhan Penjualan Dan Likuiditas Terhadap Profitabilitas (Pada Perusahaan Consumer Goods yang Terdaftar Pada BEI Tahun 2006-2011)

This research aims to analyze whether or not the variables of sales growth and liquidity have influence to the profitability rate of consumer goods companies in sub Wrench sector of foods and baverage department in Indonesia.This research used multiple regression analysis method to find out the effect of independent variables, which are sales growt

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