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Showing result 1 - 5 of 16 essays matching the above criteria.

  1. 1. Machine learning for usability : A case study of mobile application design for Nokia

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shanshan Hou; [2021]
    Keywords : Machine learning; user-centered design; anomaly detection; user experience; human-in-the-loop; information visualization; algorithm-friendly design; Maskininlärning; användarcentrerad design; anomalidetektering; användarupplevelse; människa i loopen; informationsvisualisering; algoritmvänlig design.;

    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

  3. 2. Flight search engine CPU consumption prediction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Zhaopeng Tao; [2021]
    Keywords : Flight Search Engine; Deep Neural Networks; Tabular Data; Regression; Machine Learning; Flight Schedule Embedding; Node Embedding; Graph Embedding; Line Graph Embedding; Sökmotor för flygresor; Djupa neurala nätverk; Tabulära data; Regression; Maskininlärning; Inbäddning av flygschema; Inbäddning av noder; Inbäddning av grafer; Inbäddning av linjediagram;

    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

  4. 3. Kombinatorisk Optimering med Pointer Networks och Reinforcement Learning

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Axel Holmberg; Wilhelm Hansson; [2021]
    Keywords : Pointer Networks; Reinforcement Learning; Combinatorial Optimization;

    Abstract : 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

  5. 4. Automatic Flight Maneuver Identification Using Machine Learning Methods

    University essay from Linköpings universitet/Reglerteknik

    Author : Camilla Bodin; [2020]
    Keywords : Flight; Aircraft; Machine Learning; Flight Dynamics; Classification; Supervised Learning; Support Vector Machines; Neural Networks; Logistic Regression; Feature Selection; Recursive Feature Elimination; Feature Representation; k-fold cross-validation; maneuvers; flight maneuvers;

    Abstract : 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

  6. 5. Searching For Relevant Features To Classify Crew Pairing Problems

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Jin Guo; [2019-10-21]
    Keywords : Machine learning; airline crew pairing; feature selection; algorithm selection; classification;

    Abstract : 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