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How re-training process affect the performance of no-reference image quality metric for face images
(Journal article; Peer reviewed, 2019)The accuracy of face recognition systems is significantly affected by the quality of face sample images. There are many existing no-reference image quality metrics (IQMs) that are able to assess natural image quality by ... -
How sign-in solutions and payment options impact the customer journey and dropout rate in eCommerce
(Master thesis, 2022)Digitale plattformer finnes overalt rundt oss. De tilbyr tjenester som mange bruker daglig. Konkurranse, brukerbehov og et plattformøkosystem i stadig endring tydeligjør verdien av tjenesteinnovasjon. Det finnes et mangfold ... -
How sign-in solutions and payment options impact the customer journey and dropout rate in eCommerce
(Master thesis, 2022)Digitale plattformer finnes overalt rundt oss. De tilbyr tjenester som mange bruker daglig. Konkurranse, brukerbehov og et plattformøkosystem i stadig endring tydeligjør verdien av tjenesteinnovasjon. Det finnes et mangfold ... -
How State of Charge Impacts Machine Learning Algorithms for State of Health Estimation of Lithium-ion Batteries.
(Master thesis, 2022)I mange applikasjoner blir bare en begrenset mengde av lithium-ion batteries utladnings kapasitet brukt. Dette gjøres for å bedre bevare helsetilstanden til batteriene. Mye av den nåværende forskningen på estimering av ... -
How the MITRE ATT&CK Framework can be used for Threat Modelling in the Cloud
(Master thesis, 2023)Hovedmålet med masteroppgaven er å forbedre sikkerheten til skyinfrasttrukturer ved å identifisere sårbarheter og svakheter på et tidlig stadium, helst i designfasen. For å oppnå dette, foreslås en metode-artefakt som en ... -
How to Catch a Far-Right Radical
(Master thesis, 2022)Sosiale medier er på vei til å bli den nye arenaen for høyreekstreme. Ekstremistene kommuniserer, planlegger angrep og radikaliserer nye brukere via internett. Etter hvert som antallet brukere som blir med på disse ... -
How to create accessible Virtual Reality (VR) experiences to aid young job seekers with career guidance
(Master thesis, 2021)Arbeidsledigheten blant unge i Norge har økt de siste tiårene. Det er kritisk at flest mulig unge kan bidra med arbeidskraft mens demografien i landet blir eldre. Et samarbeid var startet mellom NAV og IMTEL hos NTNU for ... -
How to create intuitive game mechanics
(Master thesis, 2022)There has been a growing study of intuitive interaction with user interfaces that offers more insight into what insight is, what it means to measure different aspects of intuitive interaction and guidelines for designers ... -
How to Evaluate Educational Games With Refugee Children: Methodological Aspects and Lessons Learned From EduApp4syria
(Peer reviewed; Journal article, 2019)Educational game evaluation is a multidimensional and complex phenomenon. The growing interest in game-based learning (GBL) results in an increasing need to evaluate the effects of this approach, which requires appropriate ... -
How to Persuade Youths to Adopt a Healthy Behavior for a Period - A Design Guide
(Master thesis, 2015)Forskning på overbevisende systemer og design av slike systemer er i kontinuerlig behov, og det er ikke mange konseptuelle modeller tilgjengelige. Spesielt er det behov for overbevisende systemer for å få ungdommer til å ... -
How to Teach Empirical Research Methods in Information Systems? Report from a SCIS/IRIS 2019 Workshop
(Peer reviewed; Journal article, 2021)Research methods are part and parcel of good research. Despite this, we often teach research methods in an ad hoc manner and do not reflect on relevant pedagogical aspects. This situation is changing due to the introduction ... -
HPC File Server Monitoring and Tuning
(Master thesis, 2005)As HPC systems grow, the distributed file systems serving these systems need to handle an increased load of data. In order to maintain performance, these underlying file servers need to distributethe load of data volumes ... -
HPC Virtualization with Xen on Itanium
(Master thesis, 2005)The Xen Virtual Machine Monitor has proven to achieve higher efficiency in virtualizing the x86 architecture than competing x86 virtualization technologies. This makes virtualization on the x86 platform more feasible ... -
HSM: A Hybrid Slowdown Model for Multitasking GPUs
(Chapter, 2020)Graphics Processing Units (GPUs) are increasingly widely used in the cloud to accelerate compute-heavy tasks. However, GPU-compute applications stress the GPU architecture in different ways --- leading to suboptimal resource ... -
HTML5 for the Development of Personalized Multi-Platform Applications
(Master thesis, 2013)As mobile devices grow more integrated into the everyday life of the general public, there is an increased benefit to be gained from utilizing personalized applications. One of the biggest challenges in developing for these ... -
HUCDO: A Hybrid User-Centric Data Outsourcing Scheme.
(Peer reviewed; Journal article, 2020)Outsourcing helps relocate data from the cyber-physical system (CPS) for efficient storage at low cost. Current server-based outsourcing mainly focuses on the benefits of servers. This cannot attract users well, as their ... -
hUGe2: An Interdisciplinary Research Program for Sustainability
(Chapter, 2021)The continuous adoption and evolution of technology in all aspects and areas of our lives and our environment entails new and complex challenges and asks for interdisciplinary perspective to avoid biases that affect ... -
Human action recognition in videos using stable features
(Journal article, 2017)Human action recognition is still a challenging problem and researchers are focusing to investigate this problem using different techniques. We propose a robust approach for human action recognition. This is achieved by ... -
Human action recognition using attention based LSTM network with dilated CNN features
(Peer reviewed; Journal article, 2021)Human action recognition in videos is an active area of research in computer vision and pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for human-behavior assessment and security purposes. ... -
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
(Journal article; Peer reviewed, 2021)Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ...