• AI and Robotics in the Fight Against COVID-19 Pandemic 

      Khamis, Alaa; Meng, Jung; Wang, Jin; Azar, Ahmad Taher; Prestes, Edson; Li, Howard; Hameed, Ibrahim A.; Haidegger, Tamás (Chapter, 2022)
      The outbreak of the novel coronavirus and its disease COVID-19 present an unprecedented challenge for humanity. Artificial Intelligence (AI) and robotics may help fighting COVID-19. Potential applications of AI in this ...
    • Aktiv læring i Mikrokontrollarar 

      Schaathun, Welie Annett; Schaathun, Hans Georg; Bye, Robin Trulssen (Journal article; Peer reviewed, 2015)
      Aktiv læring har vore ein viktig trend i utdanningssektoren i lang tid med både klassiske og moderne proponentar. I praksis skjer det likevel at aktiv læring vert sekundær til tradisjonelle førelesingar og annan passiv ...
    • Almost Global Three-Dimensional Path-Following Guidance Law for Arbitrary Curved Paths 

      Coates, Erlend Magnus Lervik; Hamel, Tarek; Fossen, Thor Inge (Peer reviewed; Journal article, 2023)
      Motivated by aircraft applications, we revisit the path-following guidance problem in three dimensions. First, by formulating the path-following error directly in the inertial frame, we propose a class of guidance laws for ...
    • Almost square and octahedral norms in tensor products of Banach spaces 

      Langemets, Johann; Lima, Vegard; Rueda Zoca, Abraham (Journal article; Peer reviewed, 2017)
      The aim of this note is to study some geometrical properties like diameter two properties, octahedrality and almost squareness in the setting of (symmetric) tensor product spaces. In particular, we show that the injective ...
    • Aluminium 3D Printing with KUKA Robot 

      Liavaag, Elias Johan; Hanstveit, Ole-Martin; Sunde, Christer Dybvik (Bachelor thesis, 2018)
      This thesis work aims to identify how additive manufacturing of aluminium can be carried out with the help of an industrial robot. The nature of aluminium means that it needs to be melted in an inert gas zone, filled with ...
    • An agent-based approach for predicting patterns of pathogen transmission between aquaculture sites in the Norwegian fjords 

      Alaliyat, Saleh Abdel-Afou; Yndestad, Harald; Davidsen, Pål (Journal article; Peer reviewed, 2019)
      The aquaculture industry is a main industry in Norway, and it must be sustainable, i.e. experience long-term growth and development: It is necessary to build an environmentally sustainable aquaculture industry that minimizes ...
    • An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things 

      Li, Xuran; Wang, Hao; Dai, Hong-Ning; Wang, Yuanyuan; Zhao, Qinglin (Journal article; Peer reviewed, 2016)
      The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers ...
    • An improved receding horizon genetic algorithm for the tug fleet optimisation problem 

      Bye, Robin Trulssen; Schaathun, Hans Georg (Chapter, 2014)
      A fleet of tugs along the northern Norwegian coast must be dynamically positioned to minimise the risk of oil tanker drifting accidents. We have previously presented a receding horizon genetic algorithm (RHGA) for solving ...
    • An intelligent winch prototyping tool 

      Bye, Robin Trulssen; Osen, Ottar; Rekdalsbakken, Webjørn; Pedersen, Birger Skogeng; Hameed, Ibrahim (Chapter, 2017)
      In this paper we present a recently developed intelligent winch prototyping tool for optimising the design of maritime winches, continuing our recent line of work using artificial intelligence for intelligent computer-automated ...
    • An IoT-based Smart and Sustainable Waste Management System for a Norwegian Municipality 

      Nasar, Wajeeha (Master thesis, 2020)
      A solid waste management system (SWMS) is the backbone of a smart and sustainable city (SSC). The SWMS includes all the factors related to waste such as collection, sorting, transportation, and recycling. The core processes ...
    • Analyse av driftsdata fra offshorefartøy 

      Berentzen, Bjørnar; Erdal, Thomas (Bachelor thesis, 2020)
      Bachelorrapporten omhandler analysering av driftsdata fra to tilnærmet like offshorefartøy som driftes utenfor Norskekysten, der det ene fartøyet er ombygd til hybridskip og det andre fartøyet nytter kun fossile brennstoff. ...
    • Analyse av kraftnett ved tilkobling av ladestasjon for elektrisk ferge 

      Aarnes, Tormod Habbestad; Ostnes, Jan Inge Einarsen; Remmen, Mathias Johann Fjørtoft (Bachelor thesis, 2018)
      Bachelorrapporten omhandler en dynamisk analyse av distribusjonsnettet i området rundt fergekaiene på Eidsdal og Linge. Den dynamiske analysen er utført på bakgrunn av planlagt elektrisk ferge på denne strekningen. Analysen ...
    • Anomaly Detection and Visualization of School Electricity Consumption Data 

      Cui, Wenqiang; Wang, Hao (Chapter, 2017)
      Anomaly detection has been widely used in a variety of research and application domains, such as network intrusion detection, insurance/credit card fraud detection, health-care informatics, industrial damage detection, ...
    • Anovote 

      Nilsen, Emil Elton; Olsen, Sander Hurlen; Holanger, Steffen; Træen, Christoffer Andersen (Bachelor thesis, 2021)
      I 2019 etterlyste Start Ålesund en digital løsning for å gjennomføre digitale valg under generalforsamlingene sine. Til nå har disse blitt gjennomført manuelt, som er en kilde til feil. I faget ID102012 - Webteknologi ble ...
    • Ansiktsgjenkjenning for Låsesystem 

      Fivelstad, Joakim; Kleppe, Henrik Aarnes; Løvlid, Adrian Hjelmeland; Torp, Hans Jørgen (Bachelor thesis, 2019)
      Ansiktsgjenkjenning blir stadig mer aktuelt i en moderne verden. Teknologien er i stor utvikling hos selskaper som Apple og Microsoft, som tilbyr en veldig pålitelig ansiktsgjenkjenning i smarttelefoner og nettbrett. Disse ...
    • Applicability of a Digital Road Network Model Created with OpenStreetMap Data 

      Cubedo, Antonio Johansen (Master thesis, 2019)
      Simuleringer av verdensekte analogier er nyttig når en undersøker og forsker på et systems oppførsel under belastning, eller når justeringer av de innebærende faktorene i det verdensekte systemet ikke lar seg gjøre ...
    • Application of Artifical Intelligence and Data Science Methods in Oil and Gas Reservoir Simulation 

      Dwivedi, Saumitra (Master thesis, 2020)
      Olje- og gassindustrien arbeider med noen av de mest komplekse og utfordrende industrielle prosessene på tvers av flere ingeniørdomener. Slike industrielle prosesser krever vanligvis presisjon for å redusere størrelse og ...
    • Application of Artificial Intelligence and Data Science Methods in Oil and Gas Reservoir Simulation 

      Dwivedi, Saumitra (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 

      Silva, Ewerton; Torres, Ricardo Da Silva; Pinto, Allan; Li, Lin; Vianna, José; Azevedo, Rodolfo; Goldenstein, Siome (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 

      Ahmad, Hussain; Asgha, Muhammad Zubair; Alotaibi, Fahad M.; Hameed, Ibrahim A. (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 ...