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Low-Carbohydrate High-Fat Diet and Exercise: Effect of a 10-Week Intervention on Body Composition and CVD Risk Factors in Overweight and Obese Women—A Randomized Controlled Trial
(Peer reviewed; Journal article, 2020)We assessed the effect of weight-loss induced with a low-carbohydrate-high-fat diet with and without exercise, on body-composition, cardiorespiratory fitness and cardiovascular risk factors. A total of 57 overweight and ... -
Low-complexity detection for uplink massive MIMO SCMA systems
(Journal article; Peer reviewed, 2020) -
Low-Power Wide-Area Networks for Sustainable IoT
(Peer reviewed; Journal article, 2019) -
Low-Power Wide-Area Networks: A Broad Overview of its Different Aspects
(Peer reviewed; Journal article, 2022)Low-power wide-area networks (LPWANs) are gaining popularity in the research community due to their low power consumption, low cost, and wide geographical coverage. LPWAN technologies complement and outperform short-range ... -
Lower secondary school pupils’ written descriptions of their experiences with bullying and the tendency to seek help
(Peer reviewed; Journal article, 2021) -
Lowering environmental impact from UHPC, utilizing industrial by-products
(Chapter, 2018)Ultra High Performance Concrete (UHPC) is a material having some properties superior to ordinary concrete, such as strength and durability. Production ofUHPC often includes large amount of cement, leading to high cost and ... -
LTE-based passive radars and applications: a review
(Peer reviewed; Journal article, 2021) -
Lutherske nettsteder i luthersk ånd?
(Journal article; Peer reviewed, 2018) -
Lyme neuroborreliosis with encephalitis; a systematic literature review and a Scandinavian cohort study
(Peer reviewed; Journal article, 2021)Background: Lyme neuroborreliosis (LNB) presenting with encephalitis is rare and scarcely described. Objectives: To describe the available literature on LNB encephalitis and to characterize this patient group through a ... -
Lyrics, Voices, and the Stories they tell
(Doctoral dissertations at the University of Agder; No. 462, Doctoral thesis, 2024)Situated within the field of Popular Musicology, this thesis takes a discursive approach to the relationship between lyrics and representations of the voice. Drawing on personal experience with lyrics and voices as a singer, ... -
Lærerstudenters kildebruk
(Chapter; Peer reviewed, 2016) -
Lærerutdanning i kroppsøving og idrettsfag på masternivå - muligheter og utfordringer
(Peer reviewed; Journal article, 2021) -
Læring på tvers: Hvordan kan yrkesfaglæreren legge til rette for boundary learning for elever i arbeidslivspraksis?
(Peer reviewed; Journal article, 2022)A well-known challenge in vocational education and training (VET) programmes is the lack of coherence between school-based and workplace learning. The Norwegian VET model consists of two years of upper secondary education ... -
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) -
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 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 ...