• Bruk av kamera som relativ posisjonsmålar på DP-fartøy 

      Bergmann, Webjørn Yksnøy; Dyb, Edvard Johan (Bachelor thesis, 2015)
      Denne rapporten omhandlar bacheloroppgåva: "Bruk av kamera som relativ posisjonsmålar på DP-fartøy", gitt av Rolls-Royce Marine og Høgskolen i Ålesund. Hensikta med oppgåva er å utvikle eit hjelpeverktøy for kvalitetssikring ...
    • Building a competitive Autonomous sea drone (ASD) 

      Ilstad, Marcus; Løken, Joakim Sander; Rottem, Jørgen (Bachelor thesis, 2023)
      Formålet med dette prosjektet er å bygge en Autonom Sjødrone (ASD) slik at den kan ta del i Autodrone, en konkurranse i Horten.YOLOv8-algoritmen ble brukt til å trene en liten YOLO-modell, som deretter ble brukt til ...
    • Byggordboka - en digitalisert fagordbok 

      Nedregård, Vidar Marek; Noem, Niklas; Rindal, Øystein Kristoffer (Bachelor thesis, 2016)
      Dette dokumentet beskriver grunnlaget for, gjennomføringen-, og resultatet av en bacheloroppgave gjennomført ved NTNU Ålesund. Oppgaven var formulert på et overordnet nivå av Bygg21. Oppgaven var å utvikle en web-basert ...
    • Børs Buddi 

      Bergheim, Rune Schei; Dahlen, Snorre Kvalvåg; Dybdahl, Sverre Ose; Staer, Martin Nauf (Bachelor thesis, 2021)
      Dette prosjektet går ut på å lage et IT-system som gir beslutningsstøtte ved kjøp og salg av aksjer på børsen, basert på innsamlede artikler og analyse av tidligere transaksjoner. Ved hjelp av Scrum og designprinsipper for ...
    • Can the Hubble tension be resolved by bulk viscosity? 

      Normann, Ben David; Brevik, Iver Håkon (Journal article; Peer reviewed, 2021)
      We show that the cosmic bulk viscosity estimated in our previous works is sufficient to bridge the H0 value inferred from observations of the early universe with the value inferred from the local (late) universe.
    • A Cascaded Heading Control Design With Motion Constraint Handling for Marine Surface Vessels 

      Kjerstad, Øivind Kåre; Coates, Erlend Magnus Lervik (Journal article, 2023)
      Maritime motion control systems traditionally employ proportional-integral-derivative (PID) feedback control combined with a model-based feedforward structure for heading control. However, such control designs often suffer ...
    • A Change-Driven Image Foveation Approach for Tracking Plant Phenology 

      Silva, Ewerton; Torres, Ricardo Da Silva; Bruna, Alberton; Leonor, Morellato; Thiago, Silva (Peer reviewed; Journal article, 2020)
      One of the challenges in remote phenology studies lies in how to efficiently manage large volumes of data obtained as long-term sequences of high-resolution images. A promising approach is known as image foveation, which ...
    • Characterization and analyses of dribbling actions in soccer: a novel definition and effectiveness of dribbles in the 2018 FIFA World Cup RussiaTM 

      Leal, Kleber; Pinto, Allan; Torres, Ricardo Da Silva; Elferink-Gemser, Marije; Cunha, Sergio (Peer reviewed; Journal article, 2022)
      Purpose Dribbling is a significant skill in soccer, owing to its effectiveness to create opportunities for scoring, and has been analysed from different perspectives, including the development of talented players. This ...
    • Chronic Diseases and Health Monitoring Big Data: A Survey 

      Lin, Rongheng; Ye, Zezhou; Wang, Hao; Wu, Budan (Journal article; Peer reviewed, 2018)
      With the advancement of technology in data science and network technology, the world has stepped into the Era of Big Data, and the medical field is rich in data suitable for analysis. Thus, in recent years, there has been ...
    • Classification and determinants of passing difficulty in soccer: a multivariate approach 

      Merlin, Murilo; Pinto, Allan; de Almeida, Alexandre Gomes; Moura, Felipe A; Torres, Ricardo Da Silva; Cunha, Sergio Augusto (Peer reviewed; Journal article, 2021)
      Introduction Usually, the players’ or teams’ efficiency to perform passes is measured in terms of accuracy. The degree of difficulty of this action has been overlooked in the literature. Objectives The present study ...
    • Classification of Failures in the Perception of Conversational Agents (CAs) and Their Implications on Patient Safety 

      Aftab, Haris; Shah, Syed Hammad Hussain; Habli, Ibrahim (Peer reviewed; Journal article, 2021)
      The use of Conversational agents (CAs) in healthcare is an emerging field. These CAs seem to be effective in accomplishing administrative tasks, e.g. providing locations of care facilities and scheduling appointments. ...
    • Cloud-based Smart IoT Sustainable Solution for Waste Sorting and Management 

      Hojjati, Amirabbas; Nasar, Wajeeha; Mishra, Deepti; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A. (Chapter, 2022)
      A neat and clean surrounding is the main driving force for any city to be called a smart city. By 2050, it is expected that 66% of the world population will live in cities. The growing volumes of wastes are largely caused ...
    • Co-simulation as a Fundamental Technology for Twin Ships 

      Hatledal, Lars Ivar; Skulstad, Robert; Li, Guoyuan; Styve, Arne; Zhang, Houxiang (Peer reviewed; Journal article, 2020)
      The concept of digital twins, characterized by the high fidelity with which they mimic their physical counterpart, provide potential benefits for the next generation of advanced ships. It allows analysis of data and ...
    • Co-simulation-based Pre-training of a Ship Trajectory Predictor 

      Kanazawa, Motoyasu; Hatledal, Lars Ivar; Li, Guoyuan; Zhang, Houxiang (Chapter, 2022)
      A ship trajectory predictor plays a key role in the predictive decision making of intelligent marine transportation. For better prediction performance, the biggest technical challenge is how we incorporate prior knowledge, ...
    • A code-compliance assessment tool for fire prevention measures in educational facilities 

      Salaheldin, Mohammad H.; Hassanain, Mohammad A.; Hamida, Mohammad B.; Ibrahim, Ahmed (Peer reviewed; Journal article, 2021)
      Purpose This research presents the applicable international fire code requirements for educational facilities, in a comprehensive manner, and the findings of a case study to assess the level of compliance with these ...
    • Cognitive control-loop for elastic optical networks with space-division multiplexing 

      Trindade, Silvana; Torres, Ricardo Da Silva; Zhu, Zuqing; da Fonseca, Nelson L. S. (Peer reviewed; Journal article, 2021)
      This paper introduces a new solution to improve network performance by decreasingspectrum fragmentation, crosstalk interference, blocking of virtual networks, cost, and link loadimbalance. These problems degrade the ...
    • CommonLang: a DSL for defining robot tasks 

      Rutle, Adrian; Backer, Jonas; Foldøy, Kolbein; Bye, Robin Trulssen (Journal article; Peer reviewed, 2018)
      Robots are becoming more and more complex and heterogeneous; their abilities and domains of usage are increasing exponentially. Programming these robots requires special skills and usually does not follow standard software ...
    • A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data 

      Khushi, Matloob; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Uddin, Shahadat; Luo, Suhuai; Yang, Xiaoyan; Reyes, Maranatha Consuelo (Peer reviewed; Journal article, 2021)
      Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning algorithms. This study uses two ...
    • Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway 

      Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak (Journal article; Peer reviewed, 2018)
      Presently, concentrations of fecal indicator bacteria (FIB) in raw water sources are not known before water undergoes treatment, since analysis takes approximately 24 h to produce results. Using data on water quality and ...
    • Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis 

      Pinciroli Vago, Nicolo' Oreste; Milani, Federico; Fraternali, Piero; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2021)
      Iconography studies the visual content of artworks by considering the themes portrayedin them and their representation. Computer Vision has been used to identify iconographic subjectsin paintings and Convolutional Neural ...