Blar i Studentoppgaver (TN-IDE) på emneord "machine learning"

Viser treff 1-20 av 21

    • 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 ...

    • Analyse og presentasjon av Mars rover data 

      Fjellheim, Markus (Masteroppgave/UIS-TN-IDE/2020;;, Master thesis, 2020-07-15)
      Space-crafts and their instruments tend to collect way more data on their missions than what can be transmitted back to earth in a timely manner. This leads to the need to prioritize what data is to be downloaded and what ...

    • Analysis of Residential Household Energy Consumption Using Smart Meter Data 

      Nwemambu, Chibuzor Valentina (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      The need to change the source of electricity generation is apparent in the effect of climate change on the environment. Asides from the source change to renewable energy, the necessity for residents to understand their ...

    • Automated Well Monitoring: Machine Learning and Web Application 

      Zhurda, Anisa (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The challenge within the oil and gas industry is that of complexity and therefore cost, specifically due to the tough working environments and delays/downtime . Therefore, digitization is proposed as a cost saving opportunity ...

    • Biometric Authentication from ECG Signals on Wearable Devices 

      Bottenvik, Vebjørn Kaldahl (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)
      Biometric authentication is currently being used for numerous devices; such as mobile phones, computers, etc. However, for now, the only authentication methods for wearable devices are those of passwords and pin codes. The ...

    • Categorising offshore wind turbine installations, and investigating the weather impact during installations. 

      Gliniecki, Tomasz (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Categorising offshore wind turbine installations, and investigating the weather impact during installations.

    • Comparison of Machine Learning Services 

      Nketah, Gabriel (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)
      In this paper, three Cloud Machine Learning services are considered using the same dataset to run predictions on each of them. These services are quantitatively and qualitatively analyzed and compared by considering their ...

    • 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 ...

    • Decreasing Manual Workload by Automating SAP Travel Expense Workflows 

      Husebø, Ivan-Louis Miranda; Kvist, Andreas (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      In the 21st century, efficiency is a key focus for several organisations, and because of this, machine learning and process automation is getting a lot of attention. The Norwegian Government Agency of Financial Management ...

    • ETL and analysis of IoT data using OpenTSDB, Kafka, and Spark 

      Kaveh, Maziar (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06)
      The Internet of Things (IoT) is becoming increasingly prevalent in today's society. Innovations in storage and processing methodologies enable the processing of large amounts of data in a scalable manner, and generation ...

    • Fake News Detection A Deep Neural Network 

      Chennam Lakhsmikumar, Priyanka (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      News is an important source of information for people.Identifying the inaccurate news is a difficult problem. Fake news, defined by the New York Times ”as a made-up story with an intention to deceive”, often for a secondary ...

    • Information Retrieval using applied Supervised Learning for Personalized E-Commerce 

      Hellum, Kjell Arne (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Personalized E-Commerce Search Challenge issued by the International Conference on Information and Knowledge Management. By analyzing historical data containing browsing logs, queries, user interactions, and static data ...

    • Intelligent supply and demand for marine protein factory (based on MindSphere platform) 

      Heidari, Paria (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-23)
      The purpose of this project is to collect Internet Of Things data from available sources in the value chain. Our viewpoint to observe IoT data streams from all different processes in the factory as well as get an ...

    • Prediction of Psychosis in Parkinson’s Patients using Machine Learning 

      Podhraški, Andrijana; Tjersland, Trond (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      Parkinson’s disease is one of the most common neurological disorders with an estimated 6.3 million PD patients worldwide, which makes it a great threat to public health. Psychosis is a common symptom of Parkinson’s disease ...

    • Segmentation of infarcted regions in Perfusion CT images by 3D deep learning 

      Tomasetti, Luca (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ...

    • Smart Meter Based Load Forecasting for Residential Customers Using Machine Learning Algorithms 

      Resulaj, Redjol (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-12)
      The focus of this thesis is the use of machine learning algorithms to perform next step short term load forecasting on fifty five households in Stavanger, Norway. A dataset containing electricity consumption data for more ...

    • Text Pattern Discovery and Extraction 

      Morten, Waersland (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
      This thesis presents a technique for discovering and extracting unknown patterns for structured data. There is no need for pre-knowledge to be able to discover patterns. But by applying pre-knowledge these patterns can be ...

    • Tweet-based event summarization 

      Håland, Chris (Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-12)
      Social media has become an ever-growing source of information over the last years. Facebook, Twitter, Instagram and other types of social media services have all grown to contain large amounts of data, written by anyone ...

    • Using machine learning for exploratory data analysis and predictive modeling 

      Ye, Jiaqi (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06)
      Exploratory data analysis and predictive analytics can be used to extract hidden patterns from data and are becoming increasingly important tools to transform data into information. Machine learning has become a powerful ...

    • Using machine learning for exploratory data analysis and predictive models on large datasets 

      Xiao, Chengwei (Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)
      With the advent of the era of big data, machine learning has been widely used in many technologies and industries, which is able to get computers to learn without being explicitly programmed. As one of the fields of the ...