Blar i Institutt for IKT og realfag på tittel
Viser treff 256-275 av 601
-
A genetic programming approach for searching on nearest neighbors graphs
(Peer reviewed; Journal article, 2022)Nearest neighbors graphs have gained a lot of attention from the information retrieval community since they were demonstrated to outperform classical approaches in the task of approximate nearest neighbor search. These ... -
GENOR: A Generic Platform for Indicator Assessment in City Planning
(Chapter, 2022)More and more data have been generated in city planning in the past few years. Clear visualizations of this data are helpful to support information comprehension and retention for urban practitioners and policy-makers. ... -
Genset scheduling in a redundant electric power system for an offshore vessel using mixed integer linear programming
(Journal article, 2021)This paper proposes several schemes for optimal scheduling of power producers in a shipboard power system for a typical offshore supply vessel, having a multiple number of possibly varying capacity gensets. The proposed ... -
Geographic Information System for Decision Support
(Master thesis, 2020)Med utviklingen av relaterte teknologier og verktøy, har geografiske informasjonssystemer (GIS) blitt mye brukt på forskjellige felt. GIS-applikasjoner har gitt betydelig støtte for dataanalyse og visualisering på noen ... -
Graph-based slam and navigation in a simulated environment and buoy classification using YOLO for an Autonomous Surface Vessel
(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 ... -
Grey wolf optimizer (GWO) for automated offshore Crane design
(Chapter; Peer reviewed, 2016)In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer ... -
Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency
(Peer reviewed; Journal article, 2021)Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having ... -
Helikopterdekkets belysningssystem
(Bachelor thesis, 2021)Belysning på flytende helikopterdekk har som formål å gi tilstrekkelig sikt til piloter i alle slags værforhold. De nåværende løsningene på markedet for helikopterdekkbelysning baseres i hovedsak på at utstyret monteres ... -
Heuristic Techniques for Reducing Energy Consumption of Household
(Chapter, 2022)Efficient energy demand management plays an essential role in smart grid, sustainable and smart cities applications and efforts to reduce CO2 emissions. In this paper, we propose a framework for describing the household ... -
Hierarchical denoising representation disentanglement and dual-channel cross-modal-context interaction for multimodal sentiment analysis
(Peer reviewed; Journal article, 2024)Multimodal sentiment analysis aims to extract sentiment cues from various modalities, such as textual, acoustic, and visual data, and manipulate them to determine the inherent sentiment polarity in the data. Despite ... -
Hospital project front-end planning: Current practice and discovered challenges
(Peer reviewed; Journal article, 2020)Development of healthcare services is a societal responsibility often appearing as major public projects. These types of projects often have a long lifetime expectancy and represent large investments and changes to established ... -
How a project alliance influences project performance compared to traditional project practice – Findings from a case study in the Norwegian oil and gas industry
(Peer reviewed; Journal article, 2022)Practitioners and researchers have turned their attention toward collaborative arrangements and new Collaborative Project Delivery Models (CPDMs). In this paper we present findings from a study focusing on the impact of a ... -
HOW TO AVOID LOST BUSINESS OPPORTUNITIES BY DEVELOPING A BUSINESS MINDSET IN THE FRONT-END OF PROJECTS: THE SIGNIFICANCE OF COURAGE
(Peer reviewed; Journal article, 2023)Focusing on business cases in the context of portfolio management, we investigate how to build a business mindset in the frontend of projects. By applying theory on practical knowledge, in this study, we propose an approach ... -
How to create a chatbot using Tensorflow, Python and Recurrent Neural Networks
(Bachelor thesis, 2018)En Bachelor oppgave som beskriver hvordan man lager en chatbot ved bruk av Tensorflow, Python og Nevrale nettverk -
A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning
(Peer reviewed; Journal article, 2022)Tea (Camellia sinensis L.) is one of the most highly consumed beverages globally after water. Several countries import large quantities of tea from other countries to meet domestic needs. Therefore, accurate and timely ... -
Hybrid Words Representation for Airlines Sentiment Analysis
(Chapter, 2019)Social media sentimental analysis is interesting field with the aim to analyze social conservation and determine deeper context as they apply to a topic or theme. However, it is challenging as tweets are unstructured, ... -
Idea Lab: Bridging Product Design and Automatic Manufacturing in Engineering Education 4.0
(Peer reviewed; Journal article, 2022)Industry 4.0 calls for new multidisciplinary skills, and universities have an essential role in supplying this competence. Engineering Education 4.0 has therefore been introduced as a means of meeting the demands of Industry ... -
Identification of salient iconography features in artwork analysis
(Master thesis, 2021)Ikonografi studerer det visuelle innholdet i kunstverk ved å vurdere temaene som er portrettert i dem, og deres representasjon. Computer Vision har blitt brukt til å identifisere ikonografifag i malerier og Convolutional ... -
Identification of tired, sleepy, or passed out vehicle drivers. (Blackout Protocol)
(Bachelor thesis, 2020)Blackout Protocol-prosjektet handler om å utvikle et maskin læringssystem eller et konsept som vil bringe oppmerksomhet til et problem og faren for utmattelse hos profesjonelle og hverdagslige sjåfører. Målet er å prøve å ... -
Image generation models from scene graphs and layouts: A comparative analysis
(Journal article; Peer reviewed, 2023)