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Lønnsomhetsanalyse av næringseiendommer basert på tilstand
(Master thesis, 2023)Formålet med utredningen er å undersøke om det eksisterer lønnsomhetsforskjeller mellom næringseiendommer basert på tilstandsgrad. Utredningen tar for seg kvantitative undersøkelser av regnskapene til de eiendommene i ... -
Løse likninger med ulike representasjoner
(Master thesis, 2023)Denne masteravhandlingen handler om løsning av likninger ved ulike representasjoner. Hensikten med studien er å undersøke hvordan algebraisk tenkning utvikles gjennom arbeid med likningsløsning som blir gradvis representert ... -
Løse tekstoppgaver ved hjelp av algebra Solve word problems by using algbera
(Master thesis, 2022)Denne masteravhandlingen handler om å løse algebraiske tekstoppgaver ved hjelp av ulike løsningsmetoder. Hensikten med denne studien er å undersøke og beskrive elevers tankegang når det benyttes ulike løsningsmetoder i ... -
Løse tekstoppgaver ved hjelp av algebra Solve word problems by using algebra
(Master thesis, 2022)Denne masteravhandlingen handler om å løse algebraiske tekstoppgaver ved hjelp av ulike løsningsmetoder. Hensikten med denne studien er å undersøke og beskrive elevers tankegang når det benyttes ulike løsningsmetoder i ... -
«Løslatelsens smerter» - En kvalitativ studie av utfordringene ved overgang fra fengsel til samfunn
(Master thesis, 2023)Dette er en kvalitativ studie, med en kritisk, sosiologisk tilnærming til straffegjennomføring og tilbakeføring i Norge, sett i lys av den norske velferdsstaten og kriminalomsorgens rehabiliterende mandat. Gjennom intervjuer ... -
Løsningsorienterte hjelpere : En kvantitativ undersøkelse om krisesentrene i Norges utvikling som organisasjoner
(Master thesis, 2020)Krisesentrene etablerte seg i Norge fra rundt 1980. De har hatt en utvikling fra frivillige organisasjoner med idealistiske og engasjerte kvinner som ville hjelpe kvinner, til nå å være et lovpålagt profesjonelt hjelpetilbud ... -
Mac Miller Forgot to Die
(Master thesis, 2022)The rise of global streaming services in the 21st century has changed the music industry and made the process of creating artist personae easier. When crafting a social avatar, the character is often idealised in the pursuit ... -
MAC Protocols for WuR Enabled WSNs : Design and Performance Evaluation
(Master thesis, 2017)Increasing energy efficiency is a challenging task for protocol design in wireless sensor networks (WSNs) as well as in Internet of things (IoT). Traditionally, duty-cycled (DC) protocols have been widely adopted for ... -
Machine learning and IMU: Smart Gait applications for use in real-time systems
(Master thesis, 2024)Inertial Measurement Units hold a great potential for real-time gait phase measurements, gait kinematics measurement, and gait analysis. They offer convenience in the form of their light weight and portability. There are ... -
Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation
(Peer reviewed; Journal article, 2022) -
Machine Learning Applications for Load Predictions in Electrical Energy Network
(Doctoral Dissertations at the University of Agder; no. 376, Doctoral thesis, 2022)In this work collected operational data of typical urban and rural energy network are analysed for predictions of energy consumption, as well as for selected region of Nordpool electricity markets. The regression techniques ... -
A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition
(Peer reviewed; Journal article, 2019) -
A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency
(Peer reviewed; Journal article, 2019) -
A Machine Learning Approach for Intrusion Detection
(Master thesis, 2020)Securing networks and their confidentiality from intrusions is crucial, and for this rea-son, Intrusion Detection Systems have to be employed. The main goal of this thesis is to achieve a proper detection performance of a ... -
Machine Learning for Signal Reconstruction from Streaming Time-series Data
(Doctoral dissertations at University of Agder; 456, Doctoral thesis, 2024)Nowadays, deploying cyber-physical networked systems generates tremendous streams of data, with data rates increasing as time goes by. This trend is especially noticeable in several fairly automated sectors, such as energy ... -
A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream
(Peer reviewed; Journal article, 2022) -
Machine Learning Techniques to Predict Pandemic from Social Media
(Master thesis, 2018)In recent years, there has been a particular focus on improving public health through the means of prediction and preparedness of pandemic diseases. Early detection, prediction, and analysis of disease outbreaks allow the ... -
Machine Learning Tools for Radio Map Estimation in Fading-Impaired Channels
(Doctoral Dissertations at the University of Agder; no. 297, Doctoral thesis, 2020)In spectrum cartography, also known as radio map estimation, one constructs maps that provide the value of a given channel metric such as as the received power, power spectral density (PSD), electromagnetic absorption, or ... -
A Machine Learning-Based Intelligence Approach for Multiple-Input/Multiple-Output Routing in Wireless Sensor Networks
(Peer reviewed; Journal article, 2022)Computational intelligence methods play an important role for supporting smart networks operations, optimization, and management. In wireless sensor networks (WSNs), increasing the number of nodes has a need for transferring ... -
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
(Journal article, 2023)Background Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important ...