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A Proposed Framework for Early Prediction of Schistosomiasis
(Peer reviewed; Journal article, 2022)Schistosomiasis is a neglected tropical disease that continues to be a leading cause of illness and mortality around the globe. The causing parasites are affixed to the skin through defiled water and enter the human body. ... -
Prosjektering av lavspenningsnett i hyttefelt Orrelia
(Bachelor thesis, 2019)Det skal prosjekteres et lavspenningsnett med transformatorstasjon til nytt hyttefelt i Orrelia på Orreneset i Sykkylven kommune. Effektbehovet til de 32 hytteboligene må beregnes i forhold til dagens forbruk, og for riktig ... -
Prototyping av gripemodul og objektgjenkjenningssystem for automatisk sortering av gjenbrukskasser
(Bachelor thesis, 2021)Denne oppgaven omhandler utviklingsløpet fra konseptidé til en ferdig prototype for automatisk sortering av gjenbrukskasser brukt i matindustrien, dette ved bruk av en gripemodul og objektgjennkjenning. Disse kassene blir ... -
Pusserobot
(Bachelor thesis, 2016)Formålet med oppgaven er å utforske muligheten for å automatisere pussestasjonen hos Sandella. Per idag pusses alle putene manuelt. For å pusse puten er det brukt en robot som pusser rundt kanten til puten. Det brukes et ... -
Quality control of fiberglass profiles using machine vision
(Bachelor thesis, 2020)Vello Nordic produserer glassfiber profiler for dører og vinduer ved hjelp av ekstrudering. Produsere disse profilene er utfordrende på grunn av den lille feilmarginen. Under produksjon kan forskjellige årsaker føre til ... -
Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception
(Journal article; Peer reviewed, 2019)Constructing Sustainable Smart Water Supply systems are facing serious challenges all around the world with fast expansion of modern cities. Water quality is influencing our life ubiquitously. Traditional urban water quality ... -
R-PCNN Method to Rapidly Detect Objects on THz Images in Human Body Security Checks
(Chapter, 2018)Terahertz human body security images have low resolution and a low signal-to-noise ratio. In the traditional method, image segmentation, positioning, and identification are applied to detect objects carried by humans in ... -
R.Graph: A new risk-based causal reasoning and its application to COVID-19 risk analysis
(Journal article; Peer reviewed, 2022) -
Recommendation System for Immunization Coverage and Monitoring
(Journal article; Peer reviewed, 2017)Immunization averts an expected 2 to 3 million deaths every year from diphtheria, tetanus, pertussis (whooping cough), and measles; however, an additional 1.5 million deaths could be avoided if vaccination coverage was ... -
Redesigning the Point Cloud Acquisition for Sort™
(Bachelor thesis, 2022)Denne bacheloroppgaven er en detaljert forklaring på hvordan bachelorgruppen gikk frem for å redesigne punktsky-anskaffelsen for Solwr's Sort™, en pallsorteringsmaskin designet for logistikkbransjen. Den nåværende ... -
Reflections on Teaching Electrical and Computer Engineering Courses at the Bachelor Level
(Chapter, 2017)This paper reflects on a number of observations the authors have made over many years of teaching courses in electrical and computer engineering bachelor programmes. We suggest various methods and tips for improving lectures, ... -
Region- and layer-specific investigations of the human menisci using SHG imaging and biaxial testing
(Peer reviewed; Journal article, 2023)In this paper, we examine the region- and layer-specific collagen fiber morphology via second harmonic generation (SHG) in combination with planar biaxial tension testing to suggest a structure-based constitutive model for ... -
Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning
(Journal article; Peer reviewed, 2019)Automatic Speech Recognition, (ASR) has achieved the best results for English, with end-to-end neural network based supervised models. These supervised models need huge amounts of labeled speech data for good generalization, ... -
Regulation of all-electric crane
(Bachelor thesis, 2023)This report concerns the development of a regulation program for an all-electric crane. This project is an cooperation with Motus Technology. The final program turned out as expected with good overall structure but has not ... -
Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio
(Peer reviewed; Journal article, 2020)Efforts to better understand cardiorespiratory health are relevant for the future development of optimized physical activity programs. We aimed to explore the impact of the signal quality on the expected associations between ... -
Relationship between tropical leaf phenology and ecosystem productivity using phenocameras
(Peer reviewed; Journal article, 2023)Introduction: The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain ... -
Relative Motion Tracking of Vessels using Multi-Camera Handover and Aruco Markers
(Bachelor thesis, 2019)Tauetanken hos NTNU, avdeling Ålesund, brukes i hovedsak av studenter i skipsdesign for å teste skrogmodeller, ROVer og andre vannfartøy. Ved undersøkelser av skipsdesign, brukes småskala testing med modeller for å ... -
Release Note System
(Bachelor thesis, 2020)I en bransje der det er høyt fokus på korte leveranser av programvare, er det å dokumentere disse leveransenefortsatt tungvindt manuelt-arbeid. Oppgaven gitt av Cordel beskriver et ønske om et ... -
Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites
(Journal article; Peer reviewed, 2018)With the rapid growth of networking, cyber–physical–social systems (CPSSs) provide vast amounts of information. Aimed at the huge and complex data provided by networking, obtaining valuable information to meet precise ... -
Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach
(Journal article; Peer reviewed, 2018)Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven ...