Blar i Faculty of Science and Technology (RealTek) på forfatter "Liland, Kristian Hovde"
-
Medical image representations in cancer segmentation
Granheim, Markus Ola Holte (Master thesis, 2021)Purpose Cancer is the second leading cause of death globally and was responsible for an estimated 9.6 million deaths in 2018 [1]. One of the treatments used to cure cancer is radiotherapy, where a precise delineation of ... -
Mining medical academic articles using recurrent neural networks
Radwan, Mohamed (Master thesis, 2021)In this thesis, we present our methods and results for mining the MedMentions data [Mohan and Li, 2019]. We propose a pipeline for combining mention classification and mention disambiguation. We will use the Long Short ... -
Multi block analysis of gastrointestinal neuroendocrine tumors data using response oriented sequential alternation (ROSA)
Azadi, Ghazal Gazelle (Master thesis, 2021)Gastrointestinal neuroendocrine tumors (NETs) are slow-growing tumors. In this type of cancer, survival rate is an important factor. The current study considers the number of survival days as the target variable and tries ... -
Multiblock-model analysis of multi-source Alzheimer’s disease data
Randhawa, Jora Singh (Master thesis, 2020)Alzheimer’s Disease (AD) is the most common cause of dementia in the world. It is a disorder that causes brain cells to degenerate and eventually dies, which causes a continuous decline in memory, cognitive abilities and ... -
Natural Language Processing and Topic Modeling for Exploring the Vegetarian and Vegan Trends
Olavsrud, Marius Aleksander (Master thesis, 2020)The purpose of this thesis is to examine how topic modeling can be used as a tool to explore large sets of text data. This thesis is written on assignment from Nofima Food Research Institute. A set of about 52 000 unknown ... -
Predicting grain yield by utilizing multispectral images and convolutional neural network
Idris, Sara Elisabeth (Master thesis, 2023)According to the UN’s sustainability goals, hunger should have been eradicated by 2030, but the number is going the wrong way, with around 800 million people who suffer from undernourishment in 2022. Therefore, there is a ... -
Predicting treatment outcome of colorectal cancer from MRI images using machine learning
Søvdsnes, Marthe Susann (Master thesis, 2021)In this thesis different machine learning algorithms have been utilised to predict treatment outcome for patients with colorectal cancer. The predicted treatment endpoint was overall survival. The patient cohort included ... -
Prediction of passenger load on busses in Oslo using data from Automatic Data Collection-systems
Jarmund, Johanne Krokene (Master thesis, 2021)Public transport is key to reducing the usage of private vehicles, and by extension carbon emission in urban areas. Ruter is responsible planning and coordinating public transport in Oslo. Through different Automatic Data ... -
Predictive maintenance for fouling in a plate heat exchanger
Mohammad, Numan (Master thesis, 2019)Heat exchangers are very common in industrial processes, such as waste heat recovery and the food and chemical industry as well as in daily life like air-conditioning. One of the major hurdles in the performance, process, ... -
Preprocessing of industrial time series for soft sensor development
Sedal, Astrid Hæve (Master thesis, 2023)With increasing population growth, the demand for food and proteins rises. The need for protein from poultry is projected to increase by 17.8% by 2030, and poultry production in Norway has never been higher. Nortura at ... -
Reinforcement learning for grid control in an electric distribution system
Solberg, Vegard Ulriksen (Master thesis, 2019)The increasing amount of variable renewable energy (VRE) sources such as solar and wind power in the power mix brings new challenges to existing power system infrastructure. A fundamental property of an electric power ... -
Sampling strategies to estimate Noise level with regards to the Energy-Accuracy Trade-Off
Skar, Emil (Master thesis, 2020)Noise is a growing problem in today's society. This is especially true in urban areas, where noise pollution has become an important factor in the deteriorating health of the residents. Due to this, several regulations ... -
Semantic segmentation of roof materials in urban environment by utilizing hyperspectral and LiDAR data
Teien, Stian (Master thesis, 2022)Mapping areas in an urban environment can be challenging due to various materials and manufactured structures. The urban environment is a mix of natural and artificial materials, and finding the right object of a specific ... -
Sequential and orthogonalized partial least squares regression applied to healthcare data acquired from patients diagnosed with gastrointestinal carcinoma
Sana, Hemanth Babu (Master thesis, 2021)Gastrointestinal carcinoma are the cancers that affect the gastrointestinal tract and other organs that include esophagus, pancreas, stomach, colon, rectum, anus, liver and intestine. Gastrointestinal cancers account to ... -
Solslyng i jernbanespor : en mulighetsstudie for å forutsi solslynghendelser ved hjelp av maskinlæring
Tegnér, Elise (Master thesis, 2019)The purpose of this master’s thesis is to do a feasibility study for predicting sun kinks in railway tracks using machine learning. Sun kinks happen when the temperature in the rail steel increases so much that the rails ... -
Statistisk analyse og optimering av kyllingproduksjon
Kvamsdal, Morten (Master thesis, 2020)Slaktekyllingproduksjon er en svært marginal bransje hvor små forskjeller kan gi store utslag på produsentenes inntjening. I denne oppgaven er det undersøkt om noen produsenter jevnt og gjentakende har bedre dekningsbidrag ... -
Tsetlin machine for analysis of healthcare data : a comparison with standard machine learning algorithms
Nymark, Petter Sunde (Master thesis, 2021)In recent years, the use of machine learning within healthcare has increased as a result of a growing amount of data being produced. This data needs analyzing, and there exists many standard machine learning methods to do ... -
Use of regularizing methods in modeling and prediction of wood weathering as a response to UV radiation
Smeland, Knut Arne (Master thesis, 2016-04-04)Samples of norway spruce (Picea abies) were exposed to various amounts of natural or arti cial UV radiation and recorded with a NIR hyperspectral camera. Multivariate statistical analysis using Tikhonov regularization, ... -
Using deep learning to quality control products with challenging morphology
Kviman, Adam Julius Olof (Master thesis, 2021)Automatic detection of faulty products saves companies around the world a tremendous amount of money each year. Sending out defective products to the customers can be devastating for a company’s reputation, depending on ... -
Using machine learning and Repeated Elastic Net Technique for identification of biomarkers of early Alzheimer's disease
Olofsson, Charlott Kjærre (Master thesis, 2021)Alzheimer's disease is a neurodegenerative brain disease that damages neurons in the part of the brain involved in cognitive function, and early diagnosis is crucial for treatment that could slow down the progression of ...