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Background Subtraction on Real Time Point Clouds
(Master thesis, 2020)Mange nyttige operasjoner på punktskyer krever mye regnekraft, og kan være sårbar mot støy. Denne avhandlingen setter frem en enkel systemarkitektur som kan huse forskjellige strategier for bakgrunnssubtraksjon som kan ... -
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
(Peer reviewed; Journal article, 2020)An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner ... -
Balancing alignment and autonomy in large-scale agile software development: A mixed-methods exploratory case study
(Master thesis, 2022)En av forutsetningene for å lykkes med storskala smidig programvareutvikling er å effektivt koordinere samspillet mellom involverte team. Til tross for den økende populariteten til smidig tilnæring til storskala ... -
Balancing Performance Against Cost and Sustainability in Multi-Chip-Module GPUs
(Peer reviewed; Journal article, 2023)MCM-GPUs scale performance by integrating multiple chiplets within the same package. How to partition the aggregate compute resources across chiplets poses a fundamental trade-off in performance versus cost and sustainability. ... -
Balancing Real-Time Strategy Games - Exploring the feasibility of using Artificial Intelligence Techniques to evaluate Balance in Real-Time Strategy Games
(Master thesis, 2017)Of the most important things when creating a good Real-Time Strategy game (RTS) is ensuring that it is balanced. When a game is \emph{imbalanced}, some strategies are given far more weight due to their disproportionate ... -
Bandwidth Control And Fairness In The Linux Scheduler
(Master thesis, 2021)Samtidig som mer og mer av datasenterindustrien fokuserer på delt infrastruktur, er nødvendigheten av skikkelig ressursstyring og prioritering av forskjellige programmer med forskjellige prioriteringer blitt enda viktigere. ... -
Bandwidth-Aware Prefetching in Chip Multiprocessors
(Master thesis, 2006)Chip Multiprocessors (CMP) are an increasingly popular architecture and increasing numbers of vendors are now offering CMP solutions. The shift to CMP architectures from uniprocessors is driven by the increasing complexity ... -
Bankrupcy Prediction for BDO Norway
(Master thesis, 2020)Konkursprediksjon er et fagfelt som vekker mye interesse på grunn av dets mange bruksområder. I dette prosjektet har det blitt tatt en praktisk tilnærming til konkursprediksjon, der funn fra litteraturen har blitt brukt ... -
Barco - Projector Calculator for Residential Use
(Bachelor thesis, 2023)Prosjektet har som mål å utvikle et brukervennlig, lett utvidbart verktøy som kunder kan bruke for å motta produkt anbefalinger basert på skjermdimensjoner og skjermlysstyrke for boligformål. Produktet er målrettet for ... -
Basal level of autophagy and MAP1LC3B-II as potential biomarkers for DHA-induced cytotoxicity in colorectal cancer cells
(Journal article, 2018)The omega‐3 fatty acid docosahexaenoic acid (DHA) is known as an anticancer agent. Colorectal cancer (CRC) cells exhibit different sensitivity toward DHA, but the mechanisms involved are still unclear. Gene expression ... -
BAT: A Benchmark Suite for Auto-Tuners - Development of BAT and Tuning DGX-2 and More
(Master thesis, 2020)HPC (High Performance Computing) systemer har i de siste årene blitt mer og mer heterogene, og inneholder forskjellige arkitekturer som flerkjernede CPUer og akseleratorer som GPUer og FPGAer. På grunn av mangfoldet i ... -
BAT: A Benchmark suite for AutoTuners
(Peer reviewed; Journal article, 2021)An autotuner takes a parameterized code as input and tries to optimize the code by finding the best possible values for a given architecture. To our knowledge, there are currently no standardized benchmark suites for ... -
BAT: A Benchmark suite for AutoTuners - Development of BAT and Tuning on 20x Tesla T4 GPUs and More
(Master thesis, 2020)Autotuning løser ytelsesportabilitetsutfordringen når man lager applikasjoner som skal kjøres på forskjellige arkitekturer. En autotuner er et program som tar en parameterisert kode som input og prøver å finne de best ... -
Bayesian Analysis in a Knowledge-Intensive CBR System
(Chapter, 2017)This study presents a case-based reasoning system that makes use of general domain knowledge - referred to as a knowledge-intensive CBR system. The system applies a Bayesian analysis aimed at increasing the accuracy of the ... -
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists
(Chapter, 2021)Checklists are used to aid the fulfillment of safety critical activities in a variety of different applications, such as aviation, health care or labour inspections. However, optimizing a checklist for a specific purpose ... -
Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images
(Journal article; Peer reviewed, 2017)We describe a postacquisition, attribute-based quality assessment method for brain magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to the relationship between entropy and image quality ... -
Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System
(LNCS;volume 11156, Journal article; Peer reviewed, 2018)This study presents a case-based reasoning (CBR) system that makes use of general domain knowledge - referred to as a knowledge-intensive CBR system. The system applies a Bayesian analysis aimed at increasing the accuracy ... -
Beating the bookmakers - Using artificial neural networks to profit from football betting
(Master thesis, 2017)Artificial Neural Networks (ANNs) have throughout the years been used for several different purposes. Problems spanning from image classification to text generation have all been subject to ANNs. In this report, ANNs were ... -
Because it is Fun: Investigating Motives of Fake News Sharing with Exploratory Game Quests
(Chapter, 2020)Exploratory learning has become a widely applied, pedagogical concept. One approach to encourage exploratory knowledge creation are situated game experiences. Putting learners in quest-based environments can thereby support ... -
Becoming a Guest: On Proximity and Distance in Mental Health Home Treatment
(Peer reviewed; Journal article, 2022)Mental health home treatment is a service where patients with severe mental illnesses are visited by a multiprofessional psychiatric care team at their homes. In Germany, inpatient-equivalent home treatment as a specialized ...