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 Kitchen attention in the field of remote sensing image analysis.Complex background, illumination change 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 convol

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Complement system part II: role in immunity

The complement system has been considered for a long time as a simple lytic system, aimed to kill bacteria infecting the host Dome Cap organism.Nowadays this vision has changed and it is well accepted that complement is a complex innate immune surveillance system, playing a key role in host homeostasis, inflammation and in the defense against patho

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VIEWS REGARDING THE IMPLEMENTATION OF THE NEW SYSTEM OF BUDGETING ELABORATION OF ADMINISTRATIV-TERRITORIAL UNITS

In this article there are presented the views of the author, who has studied the implementation of the new system of budgeting administrative-territorial units in Riscani and Ocnita districts which have undergone piloting for 2014 year.In the result of the analysis performed by a set of quantitative and qualitative indicators, using the 3 Piece Out

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