Blar i Institutt for datateknologi og informatikk på tittel
Viser treff 2748-2767 av 6830
-
Fair Allocation of Mixed Divisible and Indivisible Goods: A Comparative Study
(Master thesis, 2023)Denne avhandlingen tar for seg utfordringen med å rettferdig fordele blandete delbare og udelelige varer ved å tilpasse etablerte algoritmer fra deres respektive fagfelt, samt å utvikle enkle polynomiske algoritmer til å ... -
Fairest Neighbors: Tradeoffs Between Metric Queries
(Chapter, 2021)Metric search commonly involves finding objects similar to a given sample object. We explore a generalization, where the desired result is a fair tradeoff between multiple query objects. This builds on previous results on ... -
Fake News Detection by Weakly Supervised Learning: A Content-Based Approach
(Master thesis, 2021)Økt bruk av sosiale medier til lesing og deling av nyheter i kombinasjon med COVID-19-pandemien har resultert i en infodemi, som gjør utfordringen ved å oppdage falske nyheter mer relevant enn noen gang. Falske nyheter er ... -
Fake News Detection by Weakly Supervised Learning: A Content-Based Approach
(Master thesis, 2021)Økt bruk av sosiale medier til lesing og deling av nyheter i kombinasjon med COVID-19-pandemien har resultert i en infodemi, som gjør utfordringen ved å oppdage falske nyheter mer relevant enn noen gang. Falske nyheter er ... -
Fake news on Facebook and their impact on supply chain disruption during COVID-19
(Peer reviewed; Journal article, 2022)Social media (SM) fake news has become a serious concern especially during COVID-19. In this study, we develop a research model to investigate to what extent SM fake news contributes to supply chain disruption (SCD), and ... -
False-Positive Reduction in Ontology Matching Based on Concepts’ Domain Similarity
(Journal article; Peer reviewed, 2018)In this study we explore if considering the domain similarity between concepts to be matched can contribute filter out false positive relations. This is particularly relevant in areas where the “universe of discourse” ... -
Family members and health care workers' perspectives on motivational factors of participation in physical activity for people with intellectual disability: A qualitative study
(Peer reviewed; Journal article, 2020)Background People with intellectual disabilities (ID) have lower levels of physical activity than the general population. The aim of this study was to understand the motivational factors of participation in physical ... -
Fast and accurate GPU accelerated, high resolution 3D registration for robotic 3D reconstruction of compliant Food objects
(Peer reviewed; Journal article, 2020)If we are to develop robust robot-based automation in primary production and processing in the agriculture and ocean space sectors, we have to develop solid vision-based perception for the robots. Accurate vision-based ... -
Fast and accurate group outlier detection for trajectory data
(Peer reviewed; Journal article, 2020)Previous approaches to solve the trajectory outlier detection problem exclusively examine single outliers. However, anomalies in trajectory data may often occur in groups. This paper introduces a new problem, group trajectory ... -
Fast Call Graph Profiling
(Master thesis, 2020)CPUer er ikke-spesialiserte chiper som kan utføre alle beregninger, og de er ikke optimalisert til å utføre noen beregninger mye raskere enn andre. Det er mulig å lage chiper som er optimaliserte til å utføre et begrenset ... -
Fast chromatic adaptation transform utilizing Wpt (Waypoint) based spectral reconstruction
(Chapter, 2020)Burns previously showed that a chromatic adaptation transform (CAT) implemented using spectral reconstruction with lightness preserving produces comparable predictive results of corresponding color data sets as optimized ... -
Fast Seeded Region Growing in a 3D Grid
(Master thesis, 2011)The purpose of this thesis was to examine ways to adapt common 2D segmentation techniques to work with 3D grids. The focus of the thesis became how to automate and improve the performance of region growing in 3D grids. ... -
Fast synchronization-free algorithms for parallel sparse triangular solves with multiple right-hand sides
(Journal article, 2017)The sparse triangular solve kernels, SpTRSV and SpTRSM, are important building blocks for a number of numerical linear algebra routines. Parallelizing SpTRSV and SpTRSM on today's manycore platforms, such as GPUs, is not ... -
Fast Tree Rendering On The GPU
(Master thesis, 2005)Over the last few years, the computer graphics hardware has evolved extremely fast from supporting only a few fixed graphical algorithms to support execution of dynamic programs supplied by a developer. Only a few years ... -
Fault-tolerance for MPI Codes on Computational Clusters
(Master thesis, 2007)This thesis focuses on fault-tolerance for MPI codes on computational clusters. When an application runs on a very large cluster with thousands of processors, there is likely that a process crashes due to a hardware or ... -
FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion
(Peer reviewed; Journal article, 2022)Multimodal image fusion is the process of combing relevant biological information that can be used for automated industrial application. In this article, we present a novel framework combining fractal constraint with group ... -
FDTD on Distributed Heterogeneous Multi-GPU Systems
(Master thesis, 2014)Finite-Difference Time-Domain (FDTD) is a popular technique for modeling computational electrodynamics, and is used within many research areas, such as the development of antennas, ultrasound imaging, and seismic wave ... -
Feasibility of Optimizations Requiring Bounded Treewidth in a Data Flow Centric Intermediate Representation
(Peer reviewed; Journal article, 2020)Data flow analyses are instrumental to effective compiler optimizations, and are typically implemented by extracting implicit data flow information from traversals of a control flow graph intermediate representation. The ... -
Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation
(Journal article; Peer reviewed, 2020)Huizhou-style ancient architecture was one of the most important genres of architectural heritage in China. The architecture employed bricks, woods, and stones as raw materials, and timber frames were significant structures. ... -
Feature Analysis of Supervised Machine Learning Models in IDE-Based Learning Analytics - Exploring the use of correlation coefficients and p-values as feature utility measures through estimating student performance in an introductory programming course
(Master thesis, 2018)Due to the recent proliferation of large datasets collected from human behavior in digital environments, IDE-based learning analytics using supervised learning has emerged as a scientific field. However, due to its novelty, ...