Blar i Faculty of Engineering and Science på tittel
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ICDC: Ranking Influential Nodes in Complex Networks Based on Isolating and Clustering Coefficient Centrality Measures
(Peer reviewed; Journal article, 2023)Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, ... -
ICT for inquiry in mathematics: A developmental research approach
(Peer reviewed; Journal article, 2009)Computers and calculators are in general widely used in Norwegian schools, but with limited use in specific school subjects, as particularly in mathematics teaching. Various reports from surveys and research projects ... -
Ideal Chaotic Pattern Recognition is achievable: The Ideal-M-AdNN - its design and properties
(Lecture Notes in Computer Science;8065, Chapter; Peer reviewed, 2013)This paper deals with the relatively new field of designing a Chaotic Pattern Recognition (PR) system. The benchmark of such a system is the following: First of all, one must be able to train the system with a set of ... -
Identification of Fractional-Order Models for Viscoelastic Behavior
(Master thesis, 2020)In this thesis, the fractional-order modeling of viscoelastic behavior based on measurement data obtained in the frequency domain is analyzed. Polymer samples as well as the transfer behavior of a hydraulic dashpot are ... -
Identification of Irregularities in Salmon Fish in Aquaculture by Using Key Point Detection
(Master thesis, 2024)This project aims to deliver an AI-based solution to find out irregularities and deformities in farmed salmon fish by using Keypoint detection. -
Identification of Irregularities in Salmon Fish in Aquaculture by Using Key Point Detection
(Master thesis, 2024)This project aims to deliver an AI based solution to find out irregularities and deformities in farmed salmon fish by using Keypoint detection -
Identification of lti time-delay systems with missing output data using GEM algorithm
(Journal article; Peer reviewed, 2014)This paper considers the parameter estimation for linear time-invariant (LTI) systems in an input-output setting with output error (OE) time-delay model structure. The problem of missing data is commonly experienced in ... -
Identification of Risk Factors Associated with Obesity and Overweight - A Machine Learning Overview
(Journal article; Peer reviewed, 2020) -
Identifying Geographic Terms within Natural Language Text
(Master thesis, 2008)The huge amount of textual data available in digital form in today’s world increases the need for methods that facilitate ease of access and navigability. Automatic extraction of keywords from text bodies is one promising ... -
Identifying protists along the Agder coastline using Illumina sequencing
(Master thesis, 2022)Environmental quality, sustainability and functioning of marine ecosystems are closely linked to species richness and diversity. Microalgae play key roles in coastal ecosystems contributing significantly to carbon flux ... -
Identifying the combinations of motivations and emotions for creating satisfied users in SNSs : An fsQCA approach
(Journal article; Peer reviewed, 2020) -
Identifying unreliable sensors without a knowledge of the ground truth in deceptive environments
(Journal article; Peer reviewed, 2017)This paper deals with the extremely fascinating area of “fusing” the outputs of sensors without any knowledge of the ground truth. In an earlier paper, the present authors had recently pioneered a solution, by mapping ... -
IEC 61851 compliant demand side management algorithm for electric vehicle charging : a MILP based decentralized approach
(Chapter; Peer reviewed, 2023)Charging scheduling algorithms play a vital role in diminishing the negative consequences on electricity networks from the widespread adaptation of electro-mobility. Therefore, there is a growing interest in a pragmatic ... -
IKT i matematikkfaget : en studie av matematikkoppgaver myntet på heldigitale læringsmiljøer i den videregående skolen
(Master thesis, 2011)The subject of this master thesis is mathematics in fully digitalised learning environments with a main focus on the tasks that are used in such environments. Traditional text books are not used in fully digitalised learning ... -
IKT i matematikkopplæringen- tidstjuv eller tryllemiddel? : en studie av faktorer som kan påvirke bruken av IKT generelt og GeoGebra spesielt hos lærere og elever på 10. og 11. årstrinn
(Master thesis, 2010)Denne oppgaven er basert på en studie av svar på et elektronisk spørreskjema som jeg designet ut fra en kombinasjon av egne problemstillinger, relevant forskningslitteratur og tilsvarende internasjonale studier. Jeg mottok ... -
IKT som læringsverktøy i matematikk : en studie av lærer- og elevrollen ved bruk av TI Interactive (og andre programmer) i 4 matematikklasser i videregående skole
(Master thesis, 2006)Temaet for masteroppgaven er en studie i hvordan bruk av IKT påvirker og forandrer læringsmiljøet i matematikk. Jeg har undersøkt anvendelsen av CAS-programmene TI Interactive (og Derive) i fire klasser på to videregående ... -
Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
(Peer reviewed; Journal article, 2022)The efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed ... -
Imaginary Dialogues – In-service Teachers’ Steps Towards Mathematical Argumentation in Classroom Discourse
(Journal article; Peer reviewed, 2018)The purpose of this qualitative study was to explore in-service teachers’ first experiences with imaginary dialogues – a form of mathematical writing where students are introduced to a written and unfinished dialogue between ... -
Imitation Accelerated Q-learning on a Simulated Formula Student Driverless Racecar
(Master thesis, 2020)In the international Formula Student competition, only a handful compete in the driverless category. Most of them using expensive hardware such as LIDAR’s. By leveraging reinforcement learning, a cheaper camera based ... -
Impact of a Social Constructivist Instructional Strategy on Performance in Algebra with a Focus on Secondary School Students
(Peer reviewed; Journal article, 2020)