Blar i NTNU Open på tittel

Graph Kernel Recursive Least-Squares Algorithms

Gogineni, Vinay Chakravarthi; Naumova, Valeriya; Werner, Stefan; Huang, Yih-Fang (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

Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (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

Kim, Heegon; Park, Suhyun; Lange, Stanislav; Lee, Do-Young; Heo, Dongnyeong; Choi, Heeyoul; Yoo, Jae-Hyoung; Hong, James W. (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

Rismyhr, Eirik (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

Viaño Iglesias, Adrian (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 ...

Graph theoretical approach to sexual predator detection

Matteini Palmerini, Riccardo (Master thesis, 2021)

Med teknologispredningen er vi i stand til å komme i kontakt med venner langt unna så vel som ukjente personer. Bak skjermer kan personer med onde hensikter skjule identiteten deres og handle i frihet. Overgripere tar ...

Graph-based methods for data-driven reservoir modeling

Devold, Ingvild Strømsheim (Master thesis, 2023)

Datadrevne metoder innen reservoarmodellering inkluderer både fullt ut databaserte maskinlæringsmetoder og historietilpasning av tradisjonelle matematiske modeller. I denne oppgaven foreslår vi en type hybride, grafbaserte ...

Graph-Based Multi-Modal SLAM for Resilience in Sensor-Degraded Environments

Totland, Sigurd Vatn (Master thesis, 2021)

Pålitelig og nøyaktig samtidig lokalisering og kartlegging (SLAM) er en nødvendig forutsetning for vellykket bruk av autonome systemer, som gjør det mulig for roboter å kartlegge og navigere omgivelsene sine, uten bruk av ...

Graph-based Natural Language Processing: Graph edit distance applied to the task of detecting plagiarism

Røkenes, Håkon Drolsum (Master thesis, 2012)

The focus of this thesis is the exploration of graph-based similarity, in the context of natural language processing. The work is motivated by a need for richer representations of text. A graph edit distance algorithm was ...

Graph-based Path Planning in a Simulated Rough Terrain

Jonsebråten, Andreas; Karlsen, Vegar; Varhaug, Glenn R. (Bachelor thesis, 2023)

Denne rapporten beskriver implementasjonen av baneplanleggingsrammeverket, GBPlanner2, for en simulert versjon av Lone Wolf ATVen. Rapporten dekker også implementasjon av viapunktfunksjonalitet. Spesifikasjoner, design og ...

Graph-Based Representations for Textual Case-Based Reasoning

Valle, Kjetil (Master thesis, 2011)

This thesis presents a graph-based approach to the problem of text representation. The work is motivated by the need for better representations for use in textual Case-Based Reasoning (CBR). In CBR new problems are solved ...

Graph-based slam and navigation in a simulated environment and buoy classification using YOLO for an Autonomous Surface Vessel

Øksne, Yrian Hovde; Aanning, Mikal; Odden, Sigurd; Holt, Markus (Bachelor thesis, 2020)

AutoDrone konkurransen er et nasjonalt maritimt robotikk event holdt av Universitetet i Sør-Øst Norge (USN) og er holdt i Horten, Norge. Konkurransen er åpen for fullstendig autonome og ubenammede båter innen gitte ...

Graph-Based Storage In Social Networks

Steine, Kristine (Master thesis, 2016)

How do we efficiently store an ever-growing amount of data? How do we retrieve and analyze relationships between data quickly? These are among the concerns faced by companies such as Google, Yahoo, Amazon, and Facebook ...

Graph-theoretic approaches and tools for quantitatively assessing curricula coherence

Varagnolo, Damiano; Knorn, Steffi; Staffas, Kjell; Fjällström, Eva; Wrigstad, Tobias (Peer reviewed; Journal article, 2020)

In this paper, we propose a method to analyse the coherence of existing curricula at higher education institution. We focus our attention to engineering programmes at universities but the proposed method is by no means ...

Graphene Family Nanomaterial Reinforced Magnesium-Based Matrix Composites for Biomedical Application: A Comprehensive Review

Abazari, Somayeh; Shamsipur, Ali; Bakhsheshi-Rad, Hamid Reza; Ramakrishna, Seeram; Berto, Filippo (Peer reviewed; Journal article, 2020)

Together with the enhancement of the load-bearing implant process for bone substitution and reproduction, an increasing requirement was observed concerning biodegradable magnesium and its alloys with lighter density and ...