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 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 convolutional

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Pharmacoinformatic and molecular docking studies reveal potential novel antidepressants against neurodegenerative disorders by targeting HSPB8

Sheikh Arslan Sehgal,1–4 Shazia Mannan,1 Sannia Ali1 1Department of Bioscience, COMSATS Institute of Information Laundry Station Remover Technology, Sahiwal, Pakistan; 2State Key Laboratory of Biomembrane and Membrane Biotechnology, Institute of Zoology, Chinese Academy of Sciences, 3University of Chinese Academy of Sciences, Beijing, People&

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Customer knowledge management competence evaluation of agritourism enterprises by using the balanced scorecard and fuzzy-AHP: Evidence from Chengdu-Chongqing economic circle.

This paper provides an evaluation framework to explore the linking mechanisms between customer knowledge management competence (CKMC) and Balanced Scorecard (BSC).With a case study from Chengdu-Chongqing Economic Circle of China, this paper attempts to empirically justify the framework.An index system was established for evaluating CKMC based on BS

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Speech Recognition and Speech Synthesis Models for Micro Devices

With the advent and breakthrough of interaction between humans and electronic devices using speech in communication, we have seen a lot of applications using speech recognition and speech synthesis technology.There are some limitations we have identified to these applications.Availability of a lot of resources and internet connectivity have made it

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