• Drone: Dynamic positioning in relation to a given object 

      Vattøy, Robin Hofset; Nilsen, Inge; Fagerhaug, Eirik Strøm (Bachelor thesis, 2016)
      This report deals with the bachelor thesis "Drone: Dynamic positioning in relation to a given object", given by Rolls-Royce Marine and NTNU Ålesund. The goal of this task is to develop a framework for a drone autopilot and ...
    • A Dual-Attention Recurrent Neural Network Method for Deep Cone Thickener Underflow Concentration Prediction 

      Yuan, Zhaolin; Hu, Jinlong; Wu, Di; Ban, Xiaojuan (Peer reviewed; Journal article, 2020)
      This paper focuses on the time series prediction problem for underflow concentration of deep cone thickener. It is commonly used in the industrial sedimentation process. In this paper, we introduce a dual attention neural ...
    • DugnadPlanlegger 

      Alexander Enge (Bachelor thesis, 2019)
      Dugnader er ofte en viktig aktivitet i mange sin hverdag. Systemet har et ønske om å gjøre det lettere for både store og små arrangører å planlegge og organisere en dugnad. Applikasjonen er utviklet for dugnader, men kan ...
    • Dynamic Resource Allocation with Maritime Application (DRAMA): Final Report 

      Bye, Robin Trulssen (Research report, 2014)
      An important challenge within the offshore industry and sea traffic preparedness is how to plan and optimise the positioning of a fleet of vessels in a dynamic, everchanging environment such that operating costs and risks ...
    • A Dynamic Three-Bit Image Steganography Algorithm for Medical and e-Healthcare Systems 

      Siddiqui, Ghazanfar Farooq; Iqbal, Zafar; Saleem, Khalid; Saeed, Zafar; Ahmed, Adeel; Hameed, Ibrahim A.; Khan, Muhammad Fahad (Peer reviewed; Journal article, 2020)
      Massive advances in internet infrastructure are impacting e-healthcare services compared to conventional means. Therefore, extra care and protection is needed for extremely confidential patient medical records. With this ...
    • E-Commerce in a distributed system of warehouses 

      Strøm, Sigurd; Jónsson, Sigurður; Hardeberg, Samuel (Bachelor thesis, 2021)
      E-handel er prosessen av å selge eller kjøpe varer eller tjenester over internett. Hovedmålet med denne oppgaven er å lage en e-handel nettside som kan snakke sammen med andre distribuerte varehus. Selve nettbutikken skal ...
    • E-Waste Tracker: A Solution to Monitor E-Waste Recyling Process 

      Artang, Sara (Master thesis, 2023)
      Produksjonen av elektronisk avfall (e-avfall) øker i en hastighet som er uten sidestykke på grunn av faktorer som raske teknologiske fremskritt, endrede forbrukerpreferanser, produktets levetid og det økende antallet ...
    • E-Waste Tracking System with Public Permissioned Blockchain using Byzantine Fault Tolerance Consensus in Norway 

      Gröling, Marc (Master thesis, 2023)
      Electric and electronic equipment is the fastest-growing waste stream. These items contain many precious materials that can be recovered if they are properly recycled. Apart from recovering valuable finite materials, ...
    • ECMS 2013 Conference Proceedings 

      Bye, Robin Trulssen; Zhang, Houxiang; Rekdalsbakken, Webjørn (Book, 2013)
    • Ecosystem classification using machine learning 

      Mortazavi, Seyedramin (Master thesis, 2024)
      Økosystemer er en avgjørende del av jorden, og de gir essensielle ressurser samtidig som de påvirker menneskers helse på ulike måter. rammeverket for planetariske grenser, foreslått av et team av forskere ved Stockholm ...
    • EEG Controlled Robot Arm 

      Ovesen, Christian; Jacobsen, Kenneth Sverre Verlo; Olsen, Kenneth Andre (Bachelor thesis, 2019)
      Denne rapporten omhandler utviklingen av et system for styring av en robotarm ved bruk av elektro-elektrofalografisk utstyr, kunstig intelligens og digitale signalbehandlingsteknikker. Formålet med prosjektet var å undersøke ...
    • EEG for ALS Bachelor Thesis 

      Jørgensen, Trym; Sunde, Andreas Rojahn; Søbakken, Anders; Torland, Eskil (Bachelor thesis, 2021)
      Målet med denne bacheloren var å forbedre livskvaliteten, bedre kommunikasjonen og uavhengigheten til mennesker rammet av \acrshort{als} eller andre fysiske funksjonshemninger. For å oppnå disse målene ble det utviklet en ...
    • Eemds: An effective emergency message dissemination scheme for urban vanets 

      Ullah, Sami; Abbas, Ghulam; Waqas, Muhammad; Abbas, Ziaul Haq; Tu, Shanshan; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)
      In Vehicular Adhoc Networks (VANETs), disseminating Emergency Messages (EMs) to a maximum number of vehicles with low latency and low packet loss is critical for road safety. However, avoiding the broadcast storm and dealing ...
    • Effects of Progressive Deltoid Ligament Sectioning on Weber B Ankle Fracture Stability 

      Dalen, Andreas F.; Gregersen, Martin; Skrede, Aleksander Larsen; Bjelland, Øystein; Myklebust, Tor Åge; Nilsen, Fredrik Andre; Molund, Marius (Peer reviewed; Journal article, 2023)
      Background: Conventionally, transsyndesmotic fibula fractures with concomitant signs of deltoid ligament injury have been considered unstable and thus treated operatively. Recent studies have indicated that partial deltoid ...
    • An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications 

      Shah, Syed Hammad Hussain; Karlsen, Anniken Susanne Thoresen; Solberg, Mads; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2024)
      Aging is inevitably associated with a decline in physical abilities and can pose challenges to the social lives of elderly individuals. In long-term care facilities, group exercise is instrumental for keeping elderly ...
    • An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset 

      Alam, Talha Mahboob; Shaukat, Kamran; Khan, Waseem Ahmad; Hameed, Ibrahim A.; Almuqren, Latifah Abd.; Raza, Muhammad Ahsan; Aslam, Memoona; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today’s medical practices, skin cancer detection is a time-consuming procedure that may lead to a patient’s death in later ...
    • Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering 

      Hussain, Syed Adil; Hassan, Muhammad Umair; Nasar, Wajeeha; Ghorashi, Sara; Jamjoom, Mona M.; Abdel-Aty, Abdel-Haleem; Parveen, Amna; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2023)
      The analysis of individuals’ movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and ...
    • Empirical Study of Day-Ahead Electricity Spot-Price Forecasting: Insights into a Novel Loss Function for Training Neural Networks 

      Loutfi, Ahmad Amine; Sun, Mengtao; Loutfi, Ijlal; Solibakke, Per Bjarte (Peer reviewed; Journal article, 2022)
      Within deregulated economies, large electricity volumes are traded in daily spot markets, which are highly volatile. To develop profitable trading strategies, all stakeholders must be empowered with robust forecasting ...
    • Emulation solution for development and validation of warehouse automation 

      Lazouski, Uladzislau (Master thesis, 2018)
      Emulators and simulators are considered to be essential software units that support the engineering team throughout the cycle of development and facilitate robot design, algorithm testing, fault analyses and full-scale ...
    • Encoding and Visualizing Temporal Changes of Topology Density Maps 

      Hu, Zhicheng (Master thesis, 2022)
      Spatiotemporal urban data analysis is one of the most relevant and challenging topics in the computer graphics and information visualization research areas. This master project introduces a novel solution, named Temporal ...