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Also we discuss the motivations of the proposal. Section 5 gives two case studies. One proposes an architecture that utilizes image/video captioning methods and Natural Language Processing systems to create a title and a concise abstract for a video. Then, we propose another application for video captioning for fostering and facilitating physical activities. Deep Learning is a platform for solving impactful and challenging problems. In recent years, deep learning-based convolutional neural networks have positively impacted image recognition and increased flexibility. Image and video captioning with deep learning are used for the difficult task of recognizing the objects and actions in an image or video and creating a concise meaningful sentence based on the contents found. In image captioning, Aneja et al. Long Short Term Memory (LSTM) techniques and analyzed the differences between Recurrent Neural Networks (RNN) based learning and their method. Their techniques differ primarily in their intermediary components. Aneja et al. use masked convolution in a CNN-based approach, whereas RNN employs LSTM or GRU.|Aeronautical or aircraft engineering is currently become a challenging stream of engineering with wide scope of career prospects. Aircraft engineers get simply recruited within the field of aviation, area of aircraft engine, power plants as well as in defense. The engineers of this stream must have good technical and mechanical skills. There are a lot of engineering institutes all over the world. There the young students are trained with techniques of airplane engine manufacturers and designing, development, construction, testing, operation and maintenance of the aircraft, missiles for both commercial and military purposes. Doing airplane and helicopter designing courses from a recognized and honored university would be much beneficial who want their job profile in Government or regulative organization of aviation. There are hundreds of Aeronautics and Aviation universities available around the country that train candidates to work for a better job profile in multiple as well as specialized aviation sectors.




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