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Design som støtter nettkunder i å holde jevnere effekt 
Ljunggren, Madelen Haugland (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Vi står nå overfor et effektproblem bestående av høyt strømforbruk i visse tider av døgnet blant forbrukerne, som krever utbygging av strømnettet som på alle andre tidspunkt vil være overflødig. Lite vet forbrukerne om at ...
HMST-Seq-Analyzer: A New Package for Differential Methylation Analysis of Whole-Genome Methylation Data 
Grønmyr, Sindre (Master thesis / Masteroppgave, 2019)
Smart Farming For Emerging Economies A LoRaWAN Based Approach 
Kimogol, Stephen Simei (Master thesis / Masteroppgave, 2019)
Population growth and climate change pose a real threat to food security. In addition, current food production practices have created a huge ecological footprint. In spite of this, food production has to increase globally. ...
Exploring the Use of Ontologies and Reasonable Ontology Templates (OTTR) within Health Registry Systems 
Varzhel, Victoria (Master thesis / Masteroppgave, 2019)
BGP Hijacking Restricted Access
Sankara Pandian, Punitha Monisha (Master thesis / Masteroppgave, 2019)
Teknologi i utdanning 
Le, Tinh Thanh (Master thesis / Masteroppgave, 2019)
På grunn av bekymringer over hvorfor så mange studenter som dropper ut i løpet av et semester, lurer mange i de siste årene på hvordan dette fenomenet har oppstått. Vi på Institutt for informatikk (IFI) lurer på hva årsaken ...
Identifying sentiment bearing sentences for reviews in Norwegian 
Caycedo Alvarez, Mateo (Master thesis / Masteroppgave, 2019)
In this work, we tackled the task of identifying sentiment bearing sentences for product reviews in Norwegian. We have created a set of automatically labeled datasets that classify sentences in terms of how relevant they ...
Exploring automatic approaches for sentiment lexicon creation for Norwegian 
Amundsen, Karianne Kirkeby (Master thesis / Masteroppgave, 2019)
The Norwegian language is under-resourced for various Natural Language Processing tasks, including the task of sentiment analysis. However, recent publications of sentiment analysis datasets such as the Norwegian Review ...
Artificial Finger Control - Inverse kinematics in soft robotics 
Thoresen, Andreas (Master thesis / Masteroppgave, 2019)
More compliant robots have certain benefits when coming to cooperating with humans. Standard industrial robots today require many safety measurements to be legal and safe to operate. Soft robots can therefor be safer, have ...
Towards Device Communities with User-Friendly Pairing for Modern Android Platforms 
Shramau, Pavel (Master thesis / Masteroppgave, 2019)
Information and communication technologies, such as remote health monitoring and mobile Internet, have played a key role on a major improvement on patients’ lives. The problem is that patient monitoring requires higher ...
"It knows how to not understand us!" A study on what the concept robustness entails in design of conversational agents for preschool children 
Nilsen, Julie Hagen (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
This thesis explores preschool children’s interaction with a conversational agent (CA), and we position this work within the field of Human-Computer Interaction (HCI). Through a preliminary case study, we explored children ...
Towards an Integrated Health Management Information System in Pakistan 
Asghar, Zubair (Master thesis / Masteroppgave, 2019)
Optimizing gait speed and morphology of the foot on a one-legged pneumatic robot 
Gill, Claes-Jonas (Master thesis / Masteroppgave, 2019)
C-RAT A tool for cyber-risk aggregation 
de Mansilha Flaminio Ribeiro, Rodrigo Manuel (Master thesis / Masteroppgave, 2019)
Exploring Model Based Pose Estimation Using Directional Chamfer Matching 
Kolden, David (Master thesis / Masteroppgave, 2019)
Autonomous manufacturing and assembly requires precise estimation of pose (position and orientation) of the object to be handled. If geometric information of the object is available, such as a CAD file, these estimates can ...
Dashboards and information overload: Challenges and design guidelines for Health Information Management Systems in developing countries 
Amundsen, Joakim Ikiza (Master thesis / Masteroppgave, 2019)
Development and implementation of human detection and following method on a mobile robot 
Lappyova, Veronika (Master thesis / Masteroppgave, 2019)
«Du må skjønne baktanken med det» - En case studie om bruk av velferdsteknologi for personer med psykisk utviklingshemming 
Stolinski, Maria Louise Skogen (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Denne masteroppgaven beskriver en case studie om plan- og prosedyreverktøyet e-Plan til bruk for å strukturere hverdagen til mennesker som har diagnosen psykisk utviklingshemming. Gjennom intervjuer og observasjoner med ...
One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression 
Frogner, Joakim Ihle (Master thesis / Masteroppgave, 2019)
Teaching machines to learn patterns in data is very common these days, and it has a broad spectrum of applications everywhere. Sensors like smart-watches are getting more functionality each year, and more and more people ...
Semantic Embeddings for OWL 2 Ontologies 
Holter, Ole Magnus (Master thesis / Masteroppgave, 2019)
While semantic technologies and the use of ontologies is one of the proposed solutions to the heterogeneity problem in database systems, the independent generation of ontologies leaves us with another heterogeneity problem. ...
Challenges and requirements for data-driven simulation of photovoltaic energy production and demand-side management in apartment buildings 
Kvisli, Vebjørn (Master thesis / Masteroppgave, 2019)
This thesis presents challenges and necessary requirements for simulating shared photovoltaic (PV) energy production and appliance consumption scheduling in urban apartment buildings. Such simulations are useful as a tool ...
Bruk og mestringstro Restricted Access
Råen, Håkon (Master thesis / Masteroppgave, 2019)
Design som støtter nettkunder i å holde jevnere effekt 
Orsen, Anna Elin (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Vi står nå overfor et effektproblem bestående av høyt strømforbruk i visse tider av døgnet blant forbrukerne, som krever utbygging av strømnettet som på alle andre tidspunkt vil være overflødig. Lite vet forbrukerne om at ...
The complex life of a Smart City initiative 
Fuglerud, Emil Harald Säll (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
This master’s thesis is an empirical investigation of a Smart City initiative within healthcare in a Norwegian municipality. What is presented is a rich description of how local actors have engaged themselves in the planning, ...
The contribution of analytics when discharging patients from a hospital 
Andresen, Christina Hellenes (Master thesis / Masteroppgave, 2019)
Forlengelse av brukstiden for mobiltelefoner: er bærekraftig eierskap en reel mulighet? 
Murzynowska, Sandra Klaudia (Master thesis / Masteroppgave, 2019)
Denne oppgaven dreier seg om reparasjon av mobiltelefoner som en del av et bærekraftig eierskap, fordi dagens praksis fører med seg store miljøskader. Forskningsspørsmålene jeg ønsker å svare på gjennom oppgaven er: 1. ...
Keystroke Audio as a Biometric for Authentication 
Lyseggen, Thomas Fossøy (Master thesis / Masteroppgave, 2019)
People are bad at making passwords, resulting in an easily exploitable security vulnerability across the digital landscape. Basing your memorized password on something like your spouse’s name or even your own is inherently ...
Transitions to more sustainable fashion: relational, transparent, and community building 
Hilde, Maria (Master thesis / Masteroppgave, 2019)
This thesis is an exploration of transitions towards a more sustainable fashion industry with a cross-disciplinary project involving Norwegian fashion brand Haik With Us. Together we created a research product that is 10 ...
The Role of Physical Prototyping in Participatory Design with Older Adults 
Bråthen, Heidi; Maartmann-Moe, Harald; Schulz, Trenton Wade (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
How can older adults actively participate in the design processes of assistive robots designed for their homes? We have organized workshops with a group of older adults who worked actively with materials and physical ...
Gamification in Learning Tools 
Sandbekk, Jonas (Master thesis / Masteroppgave, 2019)
Gamification is a term for adding game design elements into a non-game context. Using motivational theory and gamification theory this thesis explores how adding game elements to an educational learning tool affects students ...
"Ok, so what becomes water?" Scaffolding students’ learning by using mediating artefacts in a chemistry classroom 
Assi, Mahasty (Master thesis / Masteroppgave, 2019)
Learning about the periodic table of elements can be a challenge for second grade students. The amount of theoretical information, combined with abstract scientific concepts, makes it difficult for students’ meaning-making. ...
Cost-Efficient Auto-scaling Containers in Cloud infrastructure for Micro-services 
Moshir Moghaddam, Kianosh (Master thesis / Masteroppgave, 2019)
Nowadays, cloud computing is one of the most important topics in computing technology. With the ever-growing demands for a variety of services in cloud infrastructure, providing fast and affordable computing resources to ...
Evolutionary Computation Based Test Optimization of Large-Scale Systems 
Pradhan, Dipesh (Doctoral thesis / Doktoravhandling, 2019)
Modern large-scale software systems are highly configurable. Thus, they require a large number of test cases to be implemented and revised for testing a variety of system configurations. This makes software testing of ...
Mental Models in Programming 
Rørnes, Kristin Marie (Master thesis / Masteroppgave, 2019)
Pixel-Parallel Analog til digital konvertering i CMOS bildsensor Restricted Access
Mikkelsen, Mikkel (Master thesis / Masteroppgave, 2019)
Machine Learning Prediction of Power Demand for Electrical Vehicle Charging Stations in Norway 
Abuawad, Khalil (Master thesis / Masteroppgave, 2019)
Passive Fingerprinting of Known Operating Systems using Deep Learning Techniques 
Løland, Martin Veshovda (Master thesis / Masteroppgave, 2019)
Passive fingerprinting with a Deep Learning approach. The approach is compared to three well established machine learning algorithms; SVM, KNN and Random Forest. A never before used value for fingerprinting, the TCP ...
Modular Electrical Simulation Framework 
Andreassen, Paul Joakim Oulie (Master thesis / Masteroppgave, 2019)
With new technological advancements in various fields such as AI, renewable energy, automation, material research and 3D printing among others, enabling new designs of hardware that were previously unfeasible, complementing ...
Prototyping a measurement device for evaluating the performance of cross-country skis 
Kristiansen, Petter André (Master thesis / Masteroppgave, 2019)
A Performance Study of Hyperledger Fabric in a Smart Home and IoT Environment 
Ahmed, Salman Ardalan (Master thesis / Masteroppgave, 2019)
Reinforcement-based denoising of distantly supervised NER with partial annotation 
Nooralahzadeh, Farhad; Lønning, Jan Tore; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Existing named entity recognition (NER) systems rely on large amounts of human-labeled data for supervision. However, obtaining large-scale annotated data is challenging particularly in specific domains like health-care, ...
Classification of cardiac dysfunctions using a 3-axis accelerometer and deep learning architectures 
Waaler, Jonas Skarstein (Master thesis / Masteroppgave, 2019)
Emotion Recognition using Physiological Sensors 
Wong, Key Lung (Master thesis / Masteroppgave, 2019)
Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian 
Mæhlum, Petter; Barnes, Jeremy Claude; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from ...
Design og utvikling av en playful og interaktiv web-applikasjon - Men hva med universell utforming? 
Bråthen, Marius Vørrang (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks 
Faitas, Andrei; Baumann, Synne Engdahl; Næss, Torgrim Rudland; Tørresen, Jim; Martin, Charles Patrick (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Generating convincing music via deep neural networks is a challenging problem that shows promise for many applications including interactive musical creation. One part of this challenge is the problem of generating convincing ...
A Physical Intelligent Instrument using Recurrent Neural Networks 
Næss, Torgrim Rudland (Master thesis / Masteroppgave, 2019)
Composing and playing music generally requires knowledge of music theory and exercise in instrument training. While traditional musical instruments often require years of arduous practice to master, intelligent musical ...
A Deep Dive into Docker Hub’s Security Landscape - A story of inheritance? 
Socchi, Emilien (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Distinct phenotype of CD4+ T cells driving celiac disease identified in multiple autoimmune conditions 
Christophersen, Asbjørn; Lund, Eivind Gard; Snir, Omri; Solà, Elsa; Kanduri, Srinivasa Kalyana Chakravarthi; Dahal-Koirala, Shiva; Zühlke, Stephanie; Molberg, Øyvind; Utz, Paul J.; Rohani-Pichavant, Mina; Simard, Julia F.; Dekker, Cornelia L.; Lundin, Knut Erik Aslaksen; Sollid, Ludvig Magne; Davis, Mark M. (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Combining HLA-DQ–gluten tetramers with mass cytometry and RNA sequencing analysis, we find that gluten-specific CD4+ T cells in the blood and intestines of patients with celiac disease display a surprisingly rare phenotype. ...
A Physical Intelligent Instrument using Recurrent Neural Networks 
Næss, Torgrim Rudland; Martin, Charles Patrick (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper describes a new intelligent interactive instrument, based on an embedded computing platform, where deep neural networks are applied to interactive music generation. Even though using neural networks for music ...
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN 
Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Collaborative robots are becoming more common on factory floors as well as regular environments, however, their safety still is not a fully solved issue. Collision detection does not always perform as expected and collision ...
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing 
Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
If robots are to become ubiquitous, they will need to be able to adapt to complex and dynamic environments. Robots that can adapt their bodies while deployed might be flexible and robust enough to meet this challenge. ...
Exploring New Design Possibilities of Broadband, Passive Microwave Systems with Additive Manufacturing 
Hoel, Karina Vieira (Doctoral thesis / Doktoravhandling, 2019)
The fast development of drones, miniaturization of broadband solid-state amplifiers, mixers, and software defined digital hardware increase the demand for compact RF and microwave systems at lower cost, light weight, easy ...
IRE1α-XBP1s pathway promotes prostate cancer by activating c-MYC signaling 
Sheng, Xia; Nenseth, Hatice Zeynep; Qu, Su; Kuzu, Ömer Faruk; Frahnow, Turid; Simon, Lukas; Greene, Stephanie; Zeng, Qingping; Fazli, Ladan; Rennie, Paul S.; Mills, Ian Geoffrey; Danielsen, Håvard Emil; Theis, Fabian; Patterson, John B.; Jin, Yang; Saatcioglu, Fahri (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Activation of endoplasmic reticulum (ER) stress/the unfolded protein response (UPR) has been linked to cancer, but the molecular mechanisms are poorly understood and there is a paucity of reagents to translate this for ...
Controller-based Text-input Techniques for Virtual Reality: An Empirical Comparison 
Boletsis, Costas; Kongsvik, Stian (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Existing consumer VR systems support text input using handheld controllers in combination with virtual keyboards and many designers have attempted to build on these widely used techniques. However, information on current ...
Optimizing the efficiency of an IncludeOS unikernel DDOS filter 
Muggerud, Erlend Andresen (Master thesis / Masteroppgave, 2019)
Terrain Classification from an Aerial Perspective in Real-time using Machine Learning 
Lunsæter, Sivert Frang (Master thesis / Masteroppgave, 2019)
Sensor Event and Activity Prediction using Binary Sensors in Real Homes with Older Adults 
Casagrande, Flávia Dias (Doctoral thesis / Doktoravhandling, 2019)
A fair amount of research on smart home functions has aimed at assisting older adults in their everyday life. The implementation of these functions relies on the performance of activity recognition and prediction algorithms. ...
Making the invisible visible: Understanding complex healthcare service processes for assessment 
Lee, Eunji (Doctoral thesis / Doktoravhandling, 2019)
Earlier studies have reported that there is a huge gap between customers and service providers in terms of the perceived quality of the service experience. This research addresses the delivery gap between service providers ...
Music and Sport: An Explorative Study using Unsupervised Machine Learning 
Sandberg, Marius Alexander (Master thesis / Masteroppgave, 2019)
Crowd Matters Analysis of Different Crowdsourced Datasets for Network Performance Evaluation Restricted Access
Wakalkar, Shweta Vilas (Master thesis / Masteroppgave, 2019)
Outsourcing in Autonomous Agile BizDevOps Teams Restricted Access
Hagen, Elin (Master thesis / Masteroppgave, 2019)
The immune microenvironment in non‐small cell lung cancer is predictive of prognosis after surgery 
Öjlert, Åsa Kristine; Halvorsen, Anita; Nebdal, Daniel; Lund-Iversen, Marius; Solberg, Steinar; Brustugun, Odd Terje; Lingjærde, Ole Christian; Helland, Åslaug (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The impact of the tumor immune microenvironment on overall survival in non‐small cell lung cancer (NSCLC) has been studied, but there is little information on its relevance for risk of relapse after surgery. Understanding ...
miRNA expression changes during the course of neoadjuvant bevacizumab and chemotherapy treatment in breast cancer 
Lindholm, Evita Maria; Aure, Miriam Ragle; Haugen, Mads Haugland; Sahlberg, Kristine Kleivi; Kristensen, Vessela N.; Nebdal, Daniel; Børresen-Dale, Anne-Lise; Lingjærde, Ole Christian; Engebråten, Olav (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
One of the hallmarks of cancer is sustained angiogenesis. Favorable results have been reported in some breast cancer (BC) patients receiving antiangiogenic therapy with bevacizumab (Bev) in combination with chemotherapy, ...
Lexicon information in neural sentiment analysis: a multi-task learning approach 
Barnes, Jeremy Claude; Touileb, Samia; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper explores the use of multi-task learning (MTL) for incorporating external knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM sentiment classifier to incorporate information from sentiment ...
Design og utvikling av en playful og interaktiv web-applikasjon - Men hva med universell utforming? 
Grønhaug, Vebjørn Rongved (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Boreas – Reducing Resource Usage Through Optimized Kubernetes Scheduling 
Lebesbye, Torgeir Lyche (Master thesis / Masteroppgave, 2019)
Short-range radar imaging on portable device Restricted Access
Sandal, Paul-Are Nærø (Master thesis / Masteroppgave, 2019)
Verification of Haskell programs using Liquid Haskell Restricted Access
Kolstad, Morten Aske (Master thesis / Masteroppgave, 2019)
Comparing inferred models for immune receptor recombination 
van Helvoirt, Wout (Master thesis / Masteroppgave, 2019)
Seabed Mapping with GIAR for Multibeam Echo Sounders 
Berg, Alf Erik Borgundvåg (Master thesis / Masteroppgave, 2019)
Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study 
Barnes, Jeremy Claude; Klinger, Roman (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Sentiment analysis benefits from large, hand-annotated resources in order to train and test machine learning models, which are often data hungry. While some languages, e.g., English, have a vast arrayof these resources, ...
Making sense with numbers. Unravelling ethico-psychological subjects in practices of self-quantification 
Pols, Jeanette; Willems, Dick; Aanestad, Margunn (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Prevention enthusiasts show great optimism about the potential of health apps to modify peoples’ lifestyles through the tracking and quantification of behaviours and bodily signs. Critical sociologists warn for the ...
A use case for ensuring confidential information in cloud computing Restricted Access
Waisi, Dersim (Master thesis / Masteroppgave, 2019)
Solving the monodomain model efficiently on GPUs 
Hustad, Kristian Gregorius (Master thesis / Masteroppgave, 2019)
Patients who have suffered a myocardial infarction have an elevated risk of developing arrhythmia. The use of in silico experiments of the electrical activity in the hearts of these patients, is emerging as an alternative ...
Semantic Terrain Segmentation with an Original RGB Data Set, Targeting Elevation Differences 
Hosseinpoor, Sadegh (Master thesis / Masteroppgave, 2019)
The skills that employers look for in software testers 
Florea, Raluca-Madalina; Stray, Viktoria (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Software testing is an integral part of software development that provides better-quality products and user experiences and helps build the reputation of software companies. Though software testers perform a role that ...
Effective Password Cracking 
Hamang, Nicklas Mortensen (Master thesis / Masteroppgave, 2019)
This thesis focuses on studying characteristics of Norwegian passwords as a means to find the best way of attacking them. This was done by using a password-cracking tool to attack offline copies of several password data ...
Penetration testing of Google Chrome on Windows 10 
Lapina, Alina Olegovna (Master thesis / Masteroppgave, 2019)
Visual Inertial Direct SLAM 
Ivarsen, Peter Ørnulf (Master thesis / Masteroppgave, 2019)
Teamwork Behaviours in Autonomous Cross-functional Teams 
Kristensen, Sondre (Master thesis / Masteroppgave, 2019)
Background: Software development are a collaborative process where people from mul- tiple different practices are involved. It has become more and more common to structure people as teams focusing on producing a specific ...
“ Jeg blir så sliten i tankene ” - Innvandreres bruk av offentlige nettbaserte tjenester 
Nguyen, Tan Hung (Master thesis / Masteroppgave, 2019)
Machine Learning for Battery Health Prediction 
Szerepko, Mariusz Albin (Master thesis / Masteroppgave, 2019)
A Higher-Level View of Ontological Modeling: Rule-Based Approaches for Data Transformation, Modeling, and Maintenance 
Lupp, Daniel P. (Doctoral thesis / Doktoravhandling, 2019)
Chaining of hardware accelerated Virtual Network Functions in PCIe Environments 
Kundel, Ralf; Burkert, Tim; Griwodz, Carsten; Koldehofe, Boris (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
The growth of compute-intensive applications causes an increasing demand for computing resources in both data centers and underlying networks. To satisfy these computing and networking demands, hardware-accelerated computing ...
Network Scanning Industrial Control Systems: A Vulnerability Analysis 
Ljøsne, Mathias Jore (Master thesis / Masteroppgave, 2019)
Rocking the Boat: Proposing a Participatory Business Model for News 
Pettersen, Lene; Krumsvik, Arne H. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The digitization of newspapers has opened up new possibilities for user involvement, yet established practices in the media industry hinder news organisations from fully exploiting the many new opportunities that exist in ...
Implementing SOS with Active Objects: A Case Study of a Multicore Memory System 
Bezirgiannis, Nikolaos; de Boer, Frank; Johnsen, Einar Broch; Pun, Ka I; Tapia Tarifa, Silvia Lizeth (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
This paper describes the development of a parallel simulator of a multicore memory system from a model formalized as a structural operational semantics (SOS). Our implementation uses the Abstract Behavioral Specification ...
Partially Ordered Sets with Interfaces: A Novel Algebraic Approach for Concurrency 
Thapa, Ratan Bahadur (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Jeg får panikk bare ved tanken på en dag uten 
Sannes, Suzanne (Master thesis / Masteroppgave, 2019)
Quantifying Workload Delays for Consolidated Cloud Environments 
Nedregård, Emil Richardsen (Master thesis / Masteroppgave, 2019)
Virtual Machine (VM) consolidation in the cloud has received huge research interest over the recent years. Usually, the consolidation strategies are variants of the bin packing problem, which aims to minimize the numbers ...
A Deep Dive into Docker Hub’s Security Landscape - A story of inheritance? 
Luu, Jonathan (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2019)
Communal data work: Data sharing and re-use in clinical genetics 
Vassilakopoulou, Polyxeni; Aanestad, Margunn (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
In this article, we examine work with communal data in the context of clinical genetic testing. Drawing from prior research on digital research infrastructures and from the analysis of our empirical data on genetic testing, ...
An Environment-Aware Robot Arm Platform Using Low-Cost Sensors and Deep Learning 
Mišeikis, Justinas (Doctoral thesis / Doktoravhandling, 2019)
The main aim of the thesis is to use low-cost hardware components to create an environment-aware robot arm system capable of analysing its workspace using vision sensors and ensure collision-free operation. The objective ...
A computational model for gonadotropin releasing cells in the teleost fish medaka 
Halnes, Geir; Tennøe, Simen; Haug, Trude; Einevoll, Gaute; Weltzien, Finn-Arne; Hodne, Kjetil (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Pituitary endocrine cells fire action potentials (APs) to regulate their cytosolic Ca2+ concentration and hormone secretion rate. Depending on animal species, cell type, and biological conditions, pituitary APs are generated ...
A benchmark for evaluating Deep Learning based Image Analytics 
Ikram, Chaudhry Rehan (Master thesis / Masteroppgave, 2019)
Deep learning based systems are on the rise as they have shown tremendous potential to extract concealed patterns through the data. Today Deep learning systems are surpassing human-level vision capabilities, which leads ...
IoTPipeBenchMark - A Configurable Benchmark Framework For Performance Evaluation of Sensor Streaming Data Pipelines Restricted Access
Nazir, Bushra (Master thesis / Masteroppgave, 2019)
From Innovation to Integration: A Case of Startup - Hospital Collaborative Innovation Restricted Access
Alarab, Zainab (Master thesis / Masteroppgave, 2019)
This thesis investigates the social and technical complexity during the implementation of collaborative ICT innovation in the health sector and how these complexities are dealt with in practice. To this end, I conducted ...
Wind power predictions for Norwegian wind farms with machine learning Restricted Access
Parker, Larry (Master thesis / Masteroppgave, 2019)
Automated Assessment of Norwegian L2 Essays Using Multi-task Learning 
Berggren, Stig Johan (Master thesis / Masteroppgave, 2019)
This thesis presents the first results for the Automated Essay Scoring (AES) task on the ASK corpus of Norwegian learner language. It explores a wide variety of classifier architectures, including linear models, simple ...
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