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Application of Artificial Intelligence and Data Science Methods in Oil and Gas Reservoir Simulation
(Master thesis, 2020)The oil and gas industry works with a few of the most complex and challenging industrial processes across several domains of engineering. Such industrial processes usually require precision, in order to suppress the outcome ... -
Application-Oriented Retinal Image Models for Computer Vision
(Peer reviewed; Journal article, 2020)Energy and storage restrictions are relevant variables that software applications should be concerned about when running in low-power environments. In particular, computer vision (CV) applications exemplify well that ... -
Applying Deep Learning Technique for Depression Classification in Social Media Text
(Peer reviewed; Journal article, 2020)In social media, depression identification could be regarded as a complex task because of the complicated nature associated with mental disorders. In recent times, there has been an evolution in this research area with ... -
Applying hyperparameter optimization and other model adaption methods to tune existing models for microbial pathogens in drinking water supplies
(Master thesis, 2018)The collection and analysis of data on the concentration of pathogenic organisms in raw water sources is critical for the optimization of disinfection processes in water treatment plants. Nevertheless, there are no robust ... -
Artificial intelligence: A new model for online proctoring in education
(Chapter, 2023)As a result of technological advancements, society is becoming increasingly computerized. Massive open online courses and other forms of remote instruction continue to grow in popularity and reach. COVID-19’s global impact ... -
Assessing autonomous ship navigation using bridge simulators enhanced by cycle-consistent adversarial networks
(Peer reviewed; Journal article, 2021)The advent of artificial intelligence and deep learning has provided sophisticated functionality for sensor fusion and object detection and classification which have accelerated the development of highly automated and ... -
Assessment of COVID-19 precautionary measures in sports facilities: A case study on a health club in Saudi Arabia
(Peer reviewed; Journal article, 2021)Health club facilities represent a physical space for an industry that is centric to human health and fitness, serving various societal dimensions such as cultural, economic, and social aspects on the individual and the ... -
Assessment of early warning signs in hospital projects’ front-end phase
(Peer reviewed; Journal article, 2022)Purpose The front-end phase plays an important role in achieving project success, and establishment of performance measurement systems considering project challenges or pitfalls is a way of keeping track of this phase. ... -
Asset Managment System
(Bachelor thesis, 2024)Det er et kjent problem for Cflow og deres tredjepartsleverandører å ikke ha fullstendig kontroll over alt utstyret i kontrollsystemet. For å håndtere utfordringen, er selskapet avhengig av eksterne lister for å holde ... -
Augmentert realitet for Offshore Kran Operasjoner
(Master thesis, 2019)I min oppåve, utforsker eg potensialet for bruk av Augmentert Realitet i offshore-kran situasjoner. Som forslag frå Offshore Simulator Center (OSC), var ideen å bruke eit Microsoft HoloLens headset for prototyping og kran ... -
Auto-Docking of Vessel
(Bachelor thesis, 2018)The maritime industry have in recent years started to focus more on autonomous vessels. There is already technology like auto-crossing for ferries, and dynamic positioning for offshore vessels. One of the next steps regarding ... -
AutoDrone Competition Autonomous Surface Drone
(Bachelor thesis, 2024)Dette er en bacheloroppgave skrevet av to studenter som studerer Automatisering og Intelligente Systemer ved NTNU i Ålesund. Oppgaven går ut på å forbedre en autonom sjødrone som skal konkurere i en konkurranse mellom flere ... -
Automated Aluminum Production Cell
(Bachelor thesis, 2018)The following bachelor thesis Automated Aluminum Production Cell is a project for RUFO AS, provided by Viddal Automation AS, in which the purpose is to develop the electrical- and control system for the production cell. ... -
Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks
(Peer reviewed; Journal article, 2023)Fibroids of the uterus are a common benign tumor affecting women of childbearing age. Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its automated diagnosis from medical images ... -
Automatic Creation of 3D Printable Brace from Scan of Broken Hand
(Bachelor thesis, 2022)Målet med dette prosjektet var å lage et brukervennlig automatisk program for å 3d-skanne hånden, med intensjonen om at dette senere skulle brukes til å lage en pasientspesifikk støtteskinne for håndbrudd. Resultatet var ... -
Automatic Face Anonymization in Videos Data Based on YOLOv7
(Master thesis, 2023)Med den utbredte tilgjengeligheten av digital visuell data på tvers av ulike bransjer, som videoovervåking, sosiale nettverk og media, har bekymringene knyttet til personvern økt betydelig. Ansiktsanonymiseringsteknikker ... -
Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context
(Peer reviewed; Journal article, 2022)Kicking is a fundamental skill in soccer that often contributes to match outcomes. Lower limb movement features (e.g., joint position and velocity) are determinants of kick performance. However, obtaining kicking kinematics ... -
Automatic production of patient adapted orthopaedic braces using 3D -modelling technology
(Chapter, 2020)The research group in biomechanics at NTNU Aalesund works in close cooperation with the orthopaedic surgeons at Aalesund Hospital. One of the research activities has been to develop an automatic procedure for producing ... -
Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
(Peer reviewed; Journal article, 2023)Background: To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse sequences, and evaluate possible clinical usefulness. ... -
Automatic Visual Features for Writer Identification: A Deep Learning Approach
(Journal article; Peer reviewed, 2019)Identification of a person from his writing is one of the challenging problems; however, it is not new. No one can repudiate its applications in a number of domains, such as forensic analysis, historical documents, and ...