Now showing items 297-316 of 555

    • Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study 

      Hassan, Muhammad Umair; Alaliyat, Saleh Abdel-Afou; Sarwar, Raheem; Nawaz, Raheel; Hameed, Ibrahim A (Peer reviewed; Journal article, 2023)
      Computer science graduates face a massive gap between industry-relevant skills and those learned at school. Industry practitioners often counter a huge challenge when moving from academics to industry, requiring a completely ...
    • Light Column System 

      Hagen, Gustav Sørdal; Buljo, Ole Jørgen Klemetsen; Alvestad, Per-Stian (Bachelor thesis, 2021)
      Denne oppgaven består av forskning og utvikling av et Lyskolonne System (LCS) for Vard Electro AS. LCS er en samling av lyd- og optisk varslingssystem for alarmer om bord i fartøy, og er plassert i bråkete områder av ...
    • Line follower robot 

      Boge, Sander Sæther; Bostad, Kjell Christian Rørvik; Lund, Rolf Helge (Bachelor thesis, 2023)
      Dette prosjektet omfattet utviklingen og forbedringen av en autonom linjefølgende robot for deltakelse i Latvian Robot Competition. Roboten konkurrerte i Latvian Robot Competition. For å kunne konkurrere ble teknikker som ...
    • Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint 

      Wang, Qiu; Dai, Hong-Ning; Cheang, Chak Fong; Wang, Hao (Journal article; Peer reviewed, 2017)
      Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent ...
    • Linking partnering success factors to project performance - Findings from two nation-wide surveys 

      Nevstad, Kristina; Madsen, Tage Koed; Eskerod, Pernille; Aarseth, Wenche Kristin; Karlsen, Anniken Th; Andersen, Bjørn Sørskot (Peer reviewed; Journal article, 2021)
      In this article we present findings from an investigation into the influence of partnering success factors on multi-partner projects’ abilities to meet time schedule, budget, and technical specifications. Our findings are ...
    • Litter Detection with Deep Learning: A Comparative Study 

      Cordova, Manuel; Pinto, Allan; Hellevik, Christina Carrozzo; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.; Pedrini, Helio; Torres, Ricardo da S. (Peer reviewed; Journal article, 2022)
      Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can help assess waste occurrences in the environment. Different machine learning solutions ...
    • Load Frequency Control and Automatic Voltage Regulation in a Multi-Area Interconnected Power System Using Nature-Inspired Computation-Based Control Methodology 

      Ali, Tayyab; Malik, Suheel Abdullah; Hameed, Ibrahim A.; Daraz, Amil; Mujlid, Hana; Azar, Ahmad Taher (Peer reviewed; Journal article, 2022)
      The stability control of nominal frequency and terminal voltage in an interconnected power system (IPS) is always a challenging task for researchers. The load variation or any disturbance affects the active and reactive ...
    • Location of obecjt with help of sound triangulation 

      Skåra Simen Hansen; Litwicki Dawid; Brabrand Trym (Bachelor thesis, 2023)
      Kongsberg Maritime has expressed interest in using sound to automate boat location tracking. The bachelor group is entrusted with doing research into efficient ways to carry out this. The thesis will simulate a boat that ...
    • Lyskolonne 

      Kjerstad,Johann; Sandøy, Simon (Bachelor thesis, 2019)
      Vard Electro AS er en av verdens største selskaper innenfor spesialiserte fartøy. Med sin maritime kompetanse tilbyr de høyteknologiske teknologiske løsninger. Blant annet installerer de alarmsystemer. Disse er bygget som ...
    • A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism 

      Ashfaq, Tehreem; Khalid, Rabiya; Yahaya, Adamu Sani; Aslam, Sheraz; Azar, Ahmad Taher; Alsafari, Safa; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2022)
      In this paper, we address the problems of fraud and anomalies in the Bitcoin network. These are common problems in e-banking and online transactions. However, as the financial sector evolves, so do the methods for fraud ...
    • Machine Learning for Automatically Counting Growth-Stunted Fish in Sea Cages 

      Sperre, Linda Helen (Master thesis, 2023)
      Lakseoppdrettsmerder inneholder ofte et stort antall veksthindrede fisk omtalt som "taperfisk". Tilstedeværelsen av taperfisk kan indikere utilstrekkelige velferdsfaktorer eller sykdommer. Ved å overvåke forekomsten av ...
    • A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources 

      Ibrar, Muhammad; Hassan, Muhammad Awais; Shaukat, Kamran; Alam, Talha Mahboob; Khurshid, Khaldoon Syed; Hameed, Ibrahim A.; Aljuaid, Hanan; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      A decentralized power grid is a modern system that implements demand response without requiring major infrastructure changes. In decentralization, the consumers regulate their electricity demand autonomously based on the ...
    • Machine Translation in Low-Resource Languages by an Adversarial Neural Network 

      Sun, Mengtao; Wang, Hao; Pasquine, Mark; Abdelfattah Abdelhameed, Ibrahim (Peer reviewed; Journal article, 2021)
      Existing Sequence-to-Sequence (Seq2Seq) Neural Machine Translation (NMT) shows strong capability with High-Resource Languages (HRLs). However, this approach poses serious challenges when processing Low-Resource Languages ...
    • Man/machine interaction through EEG 

      Helgesen, Fredrik Hoel; Nedregård, Daniel; Hjørungdal, Rolf-Magnus (Bachelor thesis, 2015)
      This report has the objective of describing the process of creating a virtual reality game environment that allows the user to practice BCI (Brain Computer Interface) through controlling a BCI enabled wheelchair. It ...
    • Manulab 

      Taklo, Fredrik Siem; Ringstad, Hans-Christian; Finnson, Hans Christian Haugan (Bachelor thesis, 2020)
      Denne bacheloroppgaven omhandler "Manulab"-prosjektet fra 2020, som gikk ut på å bidra i utviklingen av et forskningslaboratorium for vareproduksjon med roboter på NTNU i Ålesund. Et pilotprosjekt med prototypeprodukter ...
    • Maoyi prosjektet 

      Kvenseth, Geir; Frøland, Fride (Bachelor thesis, 2020)
      Prosjektet er basert på et oppdrag fra Giske kystfiske der de etterspør en applikasjon som kan brukes til kjøp og salg av fisk og skalldyr. Applikasjonen skal bidra til å være et mellomledd mellom selger og kjøper. Markedet ...
    • A Mapping Towards a Unified Municipal Platform: An Investigative Case Study from a Norwegian Municipality 

      M. Ibrahim, Ahmed (Peer reviewed; Journal article, 2022)
      Norwegian municipalities set citizens’ wellbeing a top priority, through transparent social practices and democratic conduct of public services. In 2015, the United Nations (UN) have set a collection of 17 sustainable ...
    • Maskinlæring og studentlæring 

      Schaathun, Hans Georg (Peer reviewed; Journal article, 2022)
    • Maturity of workplace relocation: a systematic literature review from 1990 to 2020 

      M. Ibrahim, Ahmed; A. hassanain, Mohammad (Peer reviewed; Journal article, 2021)
      Purpose – This study aims to identify research gaps on workplace relocation, through investigating and critiquing the published literature, in the facilities management (FM) and real estate management (REM) domains, over ...
    • Màoyi 

      Haugen, Nils-Jarle; Nikolaisen, Erlend Solbakken; Woldseth, Trygve Johansen (Bachelor thesis, 2021)
      Giske kystfikse AS er en av mange fiskebåter i Ålesund som selger sine varer fra kai. De ønsket seg en løsning som vil gjøre det enklere for selgere og kjøpere å komme i kontakt og utføre handel. De ønsket en løsning der ...