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Pelee-Text++: A Tiny Neural Network for Scene Text Detection
(Journal article; Peer reviewed, 2020)Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a very challenging problem as textual elements are commonly found in “noisy” and complex ... -
Penalty feet positioning rule modification and laterality effect on soccer goalkeepers’ diving kinematics
(Peer reviewed; Journal article, 2022)In 2019, a new rule was applied in soccer. It allows the goalkeeper to have only one foot or part of it on the goal line when the kicker hits the ball, unlike the previous rule that determined the goalkeeper should have ... -
Perceiving the Narrative Style for Fake News Detection Using Deep Learning
(Chapter, 2021)Existing deep-learning-based features have shown strong enough results (more than 90% accuracy) if a large amount of annotated data is available. However, in reality, data annotation is labor-intensive and expensive. This ... -
Performance assessment of the built environment in healthcare facilities
(Peer reviewed; Journal article, 2021)Purpose – This study presents findings of post-occupancy evaluation (POE), through a performance assessment, on a polyclinic, as a health-care facility, in Saudi Arabia. Design/methodology/approach – Review of the literature ... -
Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
(Peer reviewed; Journal article, 2020)Cyberspace has become an indispensable factor for all areas of the modern world. The world is becoming more and more dependent on the internet for everyday living. The increasing dependency on the internet has also widened ... -
A Physics-Data Co-Operative Ship Dynamic Model for a Docking Operation
(Journal article; Peer reviewed, 2022)The development of onboard sensors is bringing us to the next level of ship digitalization. Its ultimate goal is to ensure safe & efficient marine operation by ship intelligence. In particular, during a docking operation, ... -
Plant-Inspired Soft Growing Robots: A Control Approach Using Nonlinear Model Predictive Techniques
(Peer reviewed; Journal article, 2023)Soft growing robots, which mimic the biological growth of plants, have demonstrated excellent performance in navigating tight and distant environments due to their flexibility and extendable lengths of several tens of ... -
The PlastOPol system for marine litter monitoring by citizen scientists
(Peer reviewed; Journal article, 2023)Marine plastic pollution has in recent decades become ubiquitous, posing threats to flora, fauna, and potentially human health. Proper monitoring and registration of litter occurrences are, therefore, of paramount importance ... -
PlastOPol: A Collaborative Data-driven Solution for Marine Litter Detection and Monitoring
(Chapter, 2023)Marine plastic pollution as a generally accepted global challenge has comprehensive impacts on our living environment. However, in practice, it is extremely difficult to monitor the severity of the problem based on the ... -
A Platform for Autonomous Drone Swarms
(Master thesis, 2017)Search- and rescue operations requires participation from a lot of personnel, ranging from volunteers to non-governmental organizations and government agencies. Employing autonomous drone swarms for search can be useful ... -
Ploge: bestillingssystem for snøbrøyting
(Bachelor thesis, 2019)Denne oppgaven er utviklet etter ønske fra oppdragsgiveren Avento. I Norge i dag er det registrert i overkant av 400 000 hytter og fritidsboliger og tallet stiger for hvert år. Mange av disse er tilknyttet veilag med behov ... -
Point Cloud Acquisition and Analysis for Guard Rail Measurements
(Master thesis, 2021)Veirekkverk er et viktig sikkerhetstiltak på våre veier. I 2020 publiserte Statens vegvesen en studie om norske veier. Den viste at feil, mangler og avvik i rekkverk var en medvirkende faktor i 11% av dødsulykkene i 2019. ... -
Posisjons- og avstandsmåling med ett enkelt kamera for maritime løfteoperasjoner
(Bachelor thesis, 2015)Denne rapporten beskriver den avsluttende bacheloroppgaven i studiet automatiseringsteknikk ved Høgskolen i Ålesund. Oppgaven er gitt av Rolls Royce Marine (RRM) ved Norsk Maritimt Kompetansesenter (NMK) i Ålesund. Rolls ... -
Post Occupancy Evaluation of the Built Environment: A Case Study of Mosque Facilities
(Journal article, 2021)Mosques are religious and cultural facilities that are used as a place of worship, social gatherings, and religious events by Islamic communities. The built environment in these facilities should meet certain technical, ... -
Prediciting Filter Lifetime for Hydraulic Systems
(Bachelor thesis, 2018)Fokuset på denne oppgaven var å utvikle en mer pålitelig og generell metode for å forutsi tilstanden til filtrene som er installert i hydrauliske systemer. Med bedre overvåkning og predikasjoner på levetid for disse ... -
Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks
(Peer reviewed; Journal article, 2022)Simulation-based multi-objective optimizations is proving to be an effective approach for supporting the building design and finding a balance between daylight availability, thermal comfort and energy performance. This ... -
Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network
(Journal article; Peer reviewed, 2018)Cyber-physical-social system (CPSS) has drawn tremendous attention in industrial applications such as industrial Internet of Things (IIoT). As the fundamental component of IIoT, bearings play an increasingly important role ... -
Predictive digital twin for offshore wind farms
(Peer reviewed; Journal article, 2023)As wind turbines continue to grow in size, they are increasingly being deployed offshore. This causes operation and maintenance of wind turbines becoming more challenging. Digitalization is a key enabling technology to ... -
Predictive Digital Twin of an Unmanned Surface Vehicle
(Master thesis, 2022)Systems of the present day are getting increasingly complex with a higher degree of autonomy in performing safety-critical tasks. Digital twins, that are capable of representing these systems digitally throughout their ...