Essays about: "learning flight"
Showing result 1 - 5 of 57 essays containing the words learning flight.
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1. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
University essay from KTH/Hälsoinformatik och logistikAbstract : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. READ MORE
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2. Flying under the radar? Education for sustainable development in private pilot training
University essay from Göteborgs universitet/Institutionen för didaktik och pedagogisk professionAbstract : Aim: Private pilot (PPL(A)) training has hardly received any scholarly attention from educational and sustainability science perspectives. Through an Education for Sustainable Development (ESD) perspective, the study aimed at 1) answering how sustainability and sustainable development (SD) are taught in pertinent PPL(A) theory learning material, theory lessons and practical training, 2) identifying gaps pertaining to sustainability and SD in those three components, and lastly 3) explore if and how certificated flight instructors, theory instructors and student pilots experience transformative learning during PPL(A) training, as well as what possibilities these stakeholders see in supporting transformative learning in PPL(A) training. READ MORE
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3. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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4. Radio Environment Compensation in a Narrowband IoT Positioning System : Using Radio Signal Metrics Between Stationary Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Internet of Things (IoT) has emerged as a powerful tool for meeting our need to collect information about and interact with our environments. One important aspect of this technology is positioning which imposes requirements on both the energy consumption and the arrangement of the systems. READ MORE
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5. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE
