Essays about: "översampling"

Showing result 6 - 10 of 11 essays containing the word översampling.

  1. 6. A Deep Learning Approach to Detection and Classification of Small Defects on Painted Surfaces : A Study Made on Volvo GTO, Umeå

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Johannes Rönnqvist; Johannes Sjölund; [2019]
    Keywords : Deep Learning; Image Recognition; Classification; Defect Detection; Automation; Neural Networks; Convolutional Neural Networks; Phase-measuring Deflectometry;

    Abstract : In this thesis we conclude that convolutional neural networks, together with phase-measuring deflectometry techniques, can be used to create models which can detect and classify defects on painted surfaces very well, even compared to experienced humans. Further, we show which preprocessing measures enhances the performance of the models. READ MORE

  3. 7. Bezier curve based lattice planner and lateral controller for highway scenarios

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : William Miles; [2019]
    Keywords : ;

    Abstract : The autonomous driving technology is transforming the road-based transport industry into a new era that will change the way we think about transport solutions. With advancements in computational power and sensor precision, self-driving vehicles are predicted to be a reality in the near future. READ MORE

  4. 8. Investigation into predicting unit test failure using syntactic source code features

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

    Author : Alex Sundström; [2018]
    Keywords : machine learning unit test software defect prediction continuous integration;

    Abstract : In this thesis the application of software defect prediction to predict unit test failure is investigated. Data for this purpose was collected from a Continuous Integration development environment. Experiments were performed using semantic features from the source code. READ MORE

  5. 9. The impact of missing data imputation on HCC survival prediction : Exploring the combination of missing data imputation with data-level methods such as clustering and oversampling

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Kevin Dalla Torre; Walid Abdul Jalil; [2018]
    Keywords : missing data; imputation; HCC; survival prediction; oversampling; saknade data; imputation; HCC; överlevnads klassificering; översampling;

    Abstract : The area of data imputation, which is the process of replacing missing data with substituted values, has been covered quite extensively in recent years. The literature on the practical impact of data imputation however, remains scarce. READ MORE

  6. 10. Comparison of machine learning algorithms for real-time vehicle selection in transport management

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

    Author : David Fagerlund; [2018]
    Keywords : ;

    Abstract : This thesis compares algorithms for a dynamic pickup and delivery problem, when new orders are arriving throughout the day. The dispatchers job is to assign incoming orders to a fleet of vehicles. READ MORE