Blar i Norges miljø- og biovitenskapelige universitet på emneord "Machine learning"
Viser treff 1-20 av 23
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Automated redaction of historical documents using machine learning
(Master thesis, 2021)This thesis aims to assist Arkivverket, The National Archival Services of Norway, in automating the redaction of national identity numbers in historical documents. As historical documents are released to the public at ... -
Deep learning for automatic delineation of tumours from PET/CT images
(Master thesis, 2019)Purpose: The delineation of tumours and malignant lymph nodes in medical images is an essential part of radiotherapy. However, it is both time-consuming and prone to inter-observer variability. Automating this process is ... -
Deep learning for automatic tumor delineation of anal cancer based on MRI, PET and CT images
(Master thesis, 2019)Presis inntegning av tumorer ansees som det svakeste leddet og den største kilden til usikkerhet ved planlegging av strålebehandling. Formålet med denne avhandlingen er å utforske mulighetene for automatisk inntegning av ... -
End-to-end learning for autonomouse crop row-following
(Peer reviewed; Journal article, 2019) -
Environmental sound classification on microcontrollers using Convolutional Neural Networks
(Master thesis, 2019)Noise is a growing problem in urban areas, and according to the WHO is the second environmental cause of health problems in Europe. Noise monitoring using Wireless Sensor Networks are being applied in order to understand ... -
Essays on predictive and prescriptive process monitoring
(PhD Thesis;2022:21, Doctoral thesis, 2023)This PhD thesis addresses problems related to proactive methods of decision support in business processes. These methods include predictive process monitoring, which aims to warn about potential problems before they occur, ... -
Exploring the transition from traditional data analysis to machine- and deep learning approaches
(PhD Thesis;2023:47, Doctoral thesis, 2023)Data analysis methods based on machine- and deep learning approaches are continuously replacing traditional methods. Models based on deep learning (DL) are applicable to many problems and often have better prediction ... -
Identification of biomarkers from Radiomics of brain scans for prediction of major depression using Repeated Elastic Net Technique
(Master thesis, 2022)The application of machine learning in the field of medicine is expanding on an almost daily basis. Data from the healthcare industry typically have high dimensionality but a limited sample size. The learning process can ... -
Learning from man or machine: Spatial aggregation and house price prediction
(CLTS Working paper;2018:4, Working paper, 2018)House prices vary with location. At the same time the border between two neighboring housing markets tends to be fuzzy. When we seek to explain or predict house prices we need to correct for spatial price variation. A ... -
Neutral processes related to regional bee commonness and dispersal distances are important predictors of plant–pollinator networks along gradients of climate and landscape conditions
(Journal article; Peer reviewed, 2022)Understanding how niche-based and neutral processes contribute to the spatial varia-tion in plant–pollinator interactions is central to designing effective pollination con-servation schemes. Such schemes are needed to ... -
Neutral processes related to regional bee commonness and dispersal distances are important predictors of plant–pollinator networks along gradients of climate and landscape conditions
(Journal article; Peer reviewed, 2022)Understanding how niche-based and neutral processes contribute to the spatial varia-tion in plant–pollinator interactions is central to designing effective pollination con-servation schemes. Such schemes are needed to ... -
New understanding of gas hydrate phenomena and natural inhibitors in crude oil systems through mass spectrometry and machine learning
(PhD thesis;2023:35, Doctoral thesis, 2023)Gas hydrates represent one of the main flow assurance issues in the oil and gas industry as they can cause complete blockage of pipelines and process equipment, forcing shut downs. Previous studies have shown that some ... -
Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival
(Peer reviewed; Journal article, 2023)• We model and predict the overall survival in patients with high-grade gastroenteropancreatic neuroendocrine neoplasms. • Novel ensemble feature selectors RENT and UBayFS are assessed for predictive performance, stability, ... -
Predicting fault events in the Norwegian electrical power system using deep learning : a sequential approach
(Master thesis, 2019)The demand for energy is steadily increasing. The global community is working towards a society supplied by clean energy from renewable sources. This leads to new requirements for the electrical power system. To solve the ... -
Predictive maintenance for fouling in a plate heat exchanger
(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, ... -
Predictive maintenance in hydropower plants : a case study of valves and servomotors
(Master thesis, 2022)Digitalization has opened the opportunity for a fourth industrial revolution and the hydropower industry is taking charge of enabling digitalization in their operation. There are a lot of studies on predictive maintenance, ... -
Prediksjon av behandlingsutfall for hode- og halskreft ved bruk av radiomics av PET/CT-bilder
(Master thesis, 2018)Radiomics er konverteringen av digitale bilder til høydimensjonale data, og har oppstått på bakgrunn av konseptet om at medisinske bilder inneholder informasjon om en sykdom eller skade som kommer til syne ved bruk av ... -
Radiomics using MR brain scans and RENT for identifying patients receiving ADHD treatment
(Master thesis, 2021)The core purpose of this thesis was to investigate whether the methylphenidate-based (MPH) treatment of male children patients having attention-deficit/hyperactivity disorder (ADHD) led to changes to five subcortical brain ... -
RENT—Repeated Elastic Net Technique for Feature Selection
(Peer reviewed; Journal article, 2021) -
RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection
(Peer reviewed; Journal article, 2021)Hippocampal sharp wave ripples (SPW-R) have been identified as key bio-markers of important brain functions such as memory consolidation and decision making. Understanding their underlying mechanisms in healthy and ...