Essays about: "Problem-based learning"
Showing result 1 - 5 of 16 essays containing the words Problem-based learning.
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1. Machine learning for usability : A case study of mobile application design for Nokia
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nokia launched a website service Customer Insights (CI) to managers and executives from operator companies to track their customers’ experience. An upgraded mobile service is developed for providing more valuable information. The data was retrieved from the same dataset but less amount of information would be displayed in the mobile application. READ MORE
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2. Flight search engine CPU consumption prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The flight search engine is a technology used in the air travel industry. It allows the traveler to search and book for the best flight options, such as the combination of flights while keeping the best services, options, and price. The computation for a flight search query can be very intensive given its parameters and complexity. READ MORE
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3. Kombinatorisk Optimering med Pointer Networks och Reinforcement Learning
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : Given the complexity and range of combinatorial optimization problems, solving them can be computationally easy or hard. There are many ways to solve them, but all available methods share a problem: they take a long time to run and have to be rerun when new cases are introduced. READ MORE
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4. Automatic Flight Maneuver Identification Using Machine Learning Methods
University essay from Linköpings universitet/ReglerteknikAbstract : This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. READ MORE
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5. Searching For Relevant Features To Classify Crew Pairing Problems
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Machine learning (ML) is an emerging technology. Jeppesen, a leader of commercial optimization products in the airline industry, has started exploring ML methods to facilitate optimization algorithm development. This thesis investigates one of the company’s products, the crew pairing optimizer. READ MORE