Browsing NTNU Open by Title
Now showing items 39715-39734 of 101539
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Granåsen Case Study: How Can Location and Design of a Bus Stop Influence the Use of Public Transport?
(Master thesis, 2017)The increase in Norway´s population will provide an increase in travels estimated to about two million travels a day. This will result in a 300 billion NOK infrastructure investment if handled by cars, as well as an increase ... -
GRANCONF: GRAphical Network CONFiguratione
(Bachelor thesis, 2016-08-25)GRANCONF is a framework for mass configuration of network equipment and related systems in a lab environment. The framework is built for complex networking scenarios with equipment from different vendors. The framework has ... -
Grand Challenges in Resource Recovery from Polymer Composites
(Journal article, 2023)Due to their unique properties of light weight and high durability, composite materials have been widely used and their application is expanding into established sectors as well as new ones. As a result, PMC waste generation ... -
Grand challenges in the science of wind energy
(Journal article; Peer reviewed, 2019)Modern wind turbines already represent a tightly optimized confluence of materials science and aerodynamic engineering. Veers et al. review the challenges and opportunities for further expanding this technology, with an ... -
Grand Objective lost in the Waste Bin?: Local Agenda 21 and solid waste reduction in the Norwegian municipality of Trondheim
(Reports from Industrial Ecology Programme (IndEcol), 1501-6153; 1999:3, Research report, 1999)A case study of the combined implementation process for Local Agenda 21 and a new Waste management plan in order to reduce the solid waste production in the Norwegian municipality of Trondheim. -
Grandis
(Bachelor thesis, 2001)Hovedprosjektet gikk ut på å lage et helt nytt betillingssystem for Kikki’s pizza da det de har brukt frem til nå er blitt gammeldags og innefektivt. Dette ble gjordt for hånd, med penn og papir. De ønsket seg et ... -
Granskningsstasjoner - en vurdering av skjermkvalitet, kalibrering og lysforhold
(Bachelor thesis, 2010)Etter innføringen av PACS (Picture Archiving and Communication System) ved de radiologiske avdelingene rundt om i landet, granskes alle digitale bilder fra bildedannende modaliteter (røntgen, CT, MR etc.) på skjermer. ... -
Granular-bed Filtration Assisted by Filter Cake Formation: Advanced Design and Experimental Verification
(Doktoravhandlinger ved NTNU, 1503-8181; 2011:286, Doctoral thesis, 2011)Particulate matter removal at high temperatures has gained a great attention in the last years due to the vast growing of power production plants around the world. A reliable and robust gas cleaning method is inherently ... -
Granularity as a qualitative concept for GIR
(Chapter, 2015)We examine the notion of granularity for qualitative thinking about geospatial data and location references. Granularity can be understood as an abstraction of level of detail or spatial resolution. Pure coordinates, which ... -
Granulation of oil shale ash with sodium alginate for the removal of phenols from shale oil wastewater
(Peer reviewed; Journal article, 2018)Granulated oil shale ash is used for removal of phenols from shale oil waste water -
Granulocyte and monocyte CD11b expression during plasma separation is dependent on complement factor 5 (C5) – an ex vivo study with blood from a C5‐deficient individual
(Journal article, 2018)The aim of the study was to investigate the role of complement factor 5 (C5) in reactions elicited by plasma separation using blood from a C5‐deficient (C5D) individual, comparing it to C5‐deficient blood reconstituted ... -
A graph attention network for road marking classification from mobile LiDAR point clouds
(Journal article; Peer reviewed, 2022) -
Graph Convolutional Networks for Predicting Cerebral Palsy in Infants
(Master thesis, 2021) -
Graph diffusion kernel LMS using random Fourier features
(Chapter, 2021)This work introduces kernel adaptive graph filters that operate in the reproducing kernel Hilbert space. We propose a centralized graph kernel least mean squares (GKLMS) approach for identifying the nonlinear graph filters. ... -
Graph Gaussian Process Classifier with Anchor Graph and Label Propagation
(Master thesis, 2021)Gaussiske prosesser er en viktig metode for maskinlæring da den lar oss sette en prioritet p˚a formen til en funksjon, og den arver fine egenskaper fra normalfordelingen. Den har blitt brukt b˚ade som en regresjons- og ... -
Graph Kernel Recursive Least-Squares Algorithms
(Chapter, 2022)This paper presents graph kernel adaptive filters that model nonlinear input-output relationships of streaming graph signals. To this end, we propose centralized and distributed graph kernel recursive least-squares (GKRLS) ... -
A graph neural approach for group recommendation system based on pairwise preferences
(Peer reviewed; Journal article, 2024)Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ... -
Graph neural network-based virtual network function deployment optimization
(Peer reviewed; Journal article, 2021)Software-defined networking (SDN) and network function virtualization (NFV) help reduce the operating expenditure (OPEX) and capital expenditure (CAPEX) as well as increase the network flexibility and agility. However, ... -
Graph Representation of DNS-related Data for Detecting Malicious Actions
(Master thesis, 2020)Skadevare er et økende problem innen cybersikkerhet. Forskning viser at en stor andel av skadevaren benytter seg av DNS-protokollen for å utføre ondsinnede handlinger. Da DNS-protokollen først ble utviklet var ikke sikkerhet ... -
Graph representation of documents content and its suitability for text mining tasks
(Master thesis, 2011)Association rules mining is one of the the most relevant techniques of data mining. It has been also applied in the domain of text mining, but the results are hard to interpret. In this matter, an Association Network is ...