• Bankruptcy Prediction of a New Data Set of Companies in Norway 

      Jizhen, Cai (Master thesis, 2019)
      I de siste årene har flere og flere forskere fokusert på forskning om konkursforutsigelse. Tradisjonelle metoder basert på statistiske modeller kan imidlertid ikke være i stand til å håndtere relevante datasett, som blir ...
    • A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure 

      Nasir, Adeel; Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Mahboob, Talha; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
      Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis ...
    • Big data analysis and visualization tools for different industries 

      Han, Fang (Master thesis, 2017)
      With the world s entrance into the information age, data analysis has become a major tool for the advancement of any industry. Big data analytics and visualization allows researchers and scientists to view and easily ...
    • Big data and connectivity in long-linked supply chains 

      Engelseth, Per; Wang, Hao (Journal article; Peer reviewed, 2018)
      Purpose This study aims to consider the developing of strategic use of big data in association with long-linked physical goods supply focusing on risk management. Design/methodology/approach Analysis is grounded on a case ...
    • Blockchain-Based Power Energy Trading Management 

      Wang, Hao; Ma, Shenglan; Guo, Chaonian; Wu, Yulei; Dai, Hong-Ning; Wu, Di (Peer reviewed; Journal article, 2021)
      Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply 

      Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak (Chapter, 2017)
      Monitoring of Norovirus in drinking water supply is a complicated, rather expensive, process. Norovirus represent a leading cause of acute gastroenteritis in most developed countries. Modeling of general microbial occurrence ...
    • Component-Based Simulator for Modelling the Design and Dynamics of Modular Robots 

      Lenerand, Torstein Sundnes (Master thesis, 2018)
      This project presents the design of a component-based simulator used for modelling the design and movement of chain-based modular robots. This work is in collaboration with NTNU Ålesund and implemented in the Unity® game ...
    • A Comprehensive Dataset for Bibliometric Analysis of SARS and Coronavirus Impact on Social Sciences 

      Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Li, Jiaming; Aujla, Gagandeep Kaur; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
      The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published ...
    • A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review 

      Hassan, Muhammad Umair; Yaqoob, Irfan; Zulfiqar, Sidra; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)
      According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a ...
    • Computer-Aided Diagnostics: Segmentation of Knee Joint Anatomy Using Deep Learning Techniques 

      Homlong Eirik Gromholt (Master thesis, 2019)
      Segmentering er prosessen i å dele bilder inn i flere meningsfulle deler og regioner medlignende egenskaper. Bildesegmentering er sterkt utnyttet i medisinsk bildebehandling,og gjør det mulig for leger å få ekstra diagnostisk ...
    • Computer-aided quality control of whitefish fillets 

      Kvam, Kristian Lindvik; Eidem, Vegard Alexander Dybvikstrand (Bachelor thesis, 2018)
      Computer-aided quality control of whitefish fillets is a bachelor assignment made for automation students at NTNU in Aalesund. The assignment was given by the company Optimar, a company with vast experience in creating ...
    • A Conceptual Model Of An IOT-Based Smart And Sustainable Solid Waste Management System: A case Study Of A Norwegian Municipality 

      Nasar, Wajeeha; Karlsen, Anniken Th; Hameed, Ibrahim A. (Chapter, 2020)
      The core processes of waste management have been changed during the last few decades. Through advanced technologies, sensors, cameras, actuators, IoT controls, data driven and data transfer technologies, the old and ...