Blar i Department of Electrical and Computer Engineering (TN-IDE) på emneord "classification"

Viser treff 1-7 av 7

    • Advanced Deep Learning for Whale detection in VHR Satellite Images 

      Rabbani, Rabbir Bin (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      With the use of very high resolution (VHR) satellite images we can locate whales. In this thesis, I have experimented with different advanced architectures in Deep Learning to detect whales in satellite images. I have also ...

    • Data Analysis for Physical Activity Monitoring 

      Khan, Rameesha Asghar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Physical activity is essential for humans for maintaining a healthy and comfortable lifestyle. With science and technological advancements, there comes various guidelines for the amount of physical activity a person ...

    • Machine Learning methods to detect improper and irrelevant citations 

      Shenavari Shirazi, Anousheh (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      The focus of this study is on the relation between papers and their citations using Machine Learning algorithms to detect improper and irrelevant citations. The model takes the paper’s citations and classifies them into ...

    • Object Classification using LEGO Mindstorms NXT and MATLAB 

      Hatlestad, Espen (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      This master thesis involves further development of the physical sorter system that was developed in the preliminary project (MIK110). The system is built up by LEGO Technic parts and is controlled by MATLAB and LEGO Mind- ...

    • Optical character recognition (OCR) on electrical specification plates 

      Andreas, Waal (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      In this paper we have developed an Optical Character Recognition (OCR) system to be used on electrical specification plates. The project is given by the Stavanger based company Verico AS(Verico). Verico performs large scale ...

    • Optical character recognition on electrical specification plates 

      Jakobsen, Joacim André (Master thesis, 2015-06)
      This paper looks into the feasibility of using neural networks to classify characters on electrical specification plates (ESP). This thesis is given by Verico AS (Verico). Verico performs large scale Asset Documentation, ...

    • Semi-supervised learning for classification of Nordic news articles 

      Fossåen, Nils Magne (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)
      Semi-supervised learning defines the techniques that fall in between supervised and unsupervised learning. It is commonly used in classification settings where one has a lesser amount of labeled data compared to unlabeled. ...