Browsing Department of Electrical and Computer Engineering (TN-IDE) by Subject "deep learning"
Now showing items 1-17 of 17
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Adapt and Generalize Deep Learning Methods for Activity Recognition on Newborn Resuscitation Videos
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)Low- and middle-income countries have nearly 99 % of deaths of children under 28 days. Complications during childbirths, such as birth asphyxia, account for most of these deaths. To prevent this, strengthening the quality ... -
Advanced Deep Learning for Whale detection in VHR Satellite Images
(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 ... -
Automated false claims detection using deep neural networks
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)Recently false claims and misinformation have become rampant in the web, affecting election outcomes, stock markets, and various other societal issues. Consequently, fact-checking and claim verification websites such as ... -
Automated Well Monitoring: Machine Learning and Web Application
(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 ... -
Automatic Entity Typing using Deep Learning
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)Knowledge bases contain vast amounts of information about entities and their semantic types. These can be leveraged in a variety of information access tasks like natural language processing and information retrieval. ... -
Classifying Dinoflagellates in Palynological Slides Using Convolutional Neural Networks
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts estimates that of the total reserves on the Norwegian shelf only 52 percent have been discovered. During test drilling, core ... -
Detecting Fake News and Rumors in Twitter Using Deep Neural Networks
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)The scope of this thesis is to detect fake news by classifying them as either real or fake based on article content, metadata, tweets and retweets of news articles from the Politifact dataset using graph neural networks. Fake ... -
Exploring Generative Adversarial Networks to Improve Prostate Segmentation on MRI
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-28)Prostate cancer is the second most occurring cancer and the sixth leading cause of cancer death among men worldwide. The number of cases is expected to increase dramatically due to population growth and increased expected ... -
Fake News Detection A Deep Neural Network
(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 ... -
Generating Retro Video Game Music Using Deep Learning Techniques
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)Music generation using deep learning is a widely studied field. This thesis focuses on music generation in a constrained and novel environment; retro video game music. The constraints imposed by the environment creates ... -
Optimization of object detection in newborn resuscitation videos
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)99% of deaths of children under 28 days of age takes place in low- and middle-income countries. Most of these deaths are due to complications during childbirth. Newborn resuscitation heavily revolves around ventilation, ... -
Prediction of Energy Consumption Peak in Household by using LSTM & MLP
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)Accurate peak load forecasting plays a key role in operation and planning of electrical power generation. To minimize the operating cost, electric suppliers use forecasted peak load to control the number of running generator ... -
Prediction of Psychosis in Parkinson’s Patients using Machine Learning
(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 ... -
Scaling Network Embeddings
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)A Recommendation System is an intelligent machine learning system that seeks to predict a customer ranked set of personalized products from a dynamic pool of diverse choices. We can define the main objective of such systems ... -
Semi-Supervised Image Segmentation of Medical Data
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ... -
Towards More Natural Explanations of User Preferences
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)Explainable recommendations refer to algorithms or methods that enable recommender systems to provide recommendations to the users, as well as to explain the reason why the items or products are being recommended. Recently, ... -
Training convolutional neural networks in virtual reality for grasp detection from 3D images
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)The focus of this project has been on training convolutional neural networks for grasp detection with synthetic data. Convolutional neural networks have had great success on a wide variety of computer vision tasks, but ...