Blar i Institutt for datateknologi og informatikk på tittel
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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, ... -
A Feature Discretization Method Based on Fuzzy Rough Sets for High-resolution Remote Sensing Big Data Under Linear Spectral Model
(Peer reviewed; Journal article, 2021)As one of the most relevant data preprocessing techniques, discretization has played an important role in data mining, which is widely applied in industrial control. It can transform continuous features to discrete ones, ... -
Feature Reuse in Federated Learning: Toward a Federated Feature Store
(Master thesis, 2022)Organisasjoner som deployerer maskinlæringsmodeller (ML-modeller) i stor skala melder om en rekke fordeler ved å ha sentralt definerte og gjenbrukbare ML features når nye modeller skal bygges, slik som ved redusert ... -
Feature Selection for Text Categorisation
(Master thesis, 2009)Text categorization is the task of discovering the category or class text documents belongs to, or in other words spotting the correct topic for text documents. While there today exists many machine learning schemes for ... -
Feature selection in Medline using text and data mining techniques
(Master thesis, 2005)In this thesis we propose a new method for searching for gene products gene products and give annotations associating genes with Gene Ontology codes. Many solutions already exists, using different techniques, however few ... -
Federated Identity Management in the Norwegian Oil and Gas Industry
(Doktoravhandlinger ved NTNU, 1503-8181; 2014:116, Doctoral thesis, 2014)The Norwegian oil and gas industry has a highly collaborative, but at the same highly competitive nature. Most of the daily oil and gas production takes place on the Norwegian continental shelf in the North Sea. The ... -
Federated Learning for Diabetic Retinopathy
(Master thesis, 2022)Diabetisk retinopati (DR) er en alvorlig øyesykdom som kan føre til blindhet hos diabetespasienter. En tidlig diagnose er avgjørende for behandling, men medisinsk screening er dyrt og vanligvis upraktisk i underutviklede ...