Now showing items 201-220 of 583

    • Hybrid Words Representation for Airlines Sentiment Analysis 

      Naseem, Usman; Khan, Shah K.; Razzak, Imran; Hameed, Ibrahim A. (Chapter, 2019)
      Social media sentimental analysis is interesting field with the aim to analyze social conservation and determine deeper context as they apply to a topic or theme. However, it is challenging as tweets are unstructured, ...
    • Prognostics and Health Management for Air Compressors Based on Deep Learning Techniques 

      Gribbestad, Magnus (Master thesis, 2019)
      Typiske vedlikeholdsstrategier på luftkompressorer i dag er avhengig av planlagte vedlikeholdstiltak basert på levetidsstatistikk, eller å reparere noe etter det har feilet. Målet med denne oppgaven er å utforske prediktivt ...
    • Virtual companionship 

      Honningsvåg, Kristian (Master thesis, 2019)
      Mennesker har holdt husdyr i tusenvis av år, og de kan gi både komfort og fungere som en følgesvenn, men det er mange som ikke kan ha et organisk kjæledyr, det være seg på grunn av allergier, restriksjoner påført dem av ...
    • A framework for graphical and networked applications, an online 3D game, and tools 

      Gundersen, Sebastian Søviknes (Bachelor thesis, 2019)
      I dette prosjektet utviklet vi et rammeverk for grafikk- og nettverksapplikasjoner i C++. Rammeverket ble utviklet med kryssplattformstøtte i tankene. Det betyr at plattformspesifikke APIer ble innkapslet. Noen av funksjonene ...
    • Particle filter vehicles tracking by fusing multiple features 

      Wang, Yu; Ban, Xiaojuan; Wang, Huan; Li, Xiaorui; Wang, Zixuan; Wu, Di; Yang, Yun; Liu, Sinuo (Peer reviewed; Journal article, 2019)
      Real-time and accurate vehicle tracking by Cameras and Surveillance can provide strong support for the acquisition and application of important traffic parameters, which is the basis of the traffic condition evaluation and ...
    • Release Note System 

      Randa, Markus; Ous, Lars; Lande Pedersen, Jan Anton (Bachelor thesis, 2020)
      I en bransje der det er høyt fokus på korte leveranser av programvare, er det å dokumentere disse leveransenefortsatt tungvindt manuelt-arbeid. Oppgaven gitt av Cordel beskriver et ønske om et ...
    • MobText: A Compact Method for Scene Text Localization 

      Decker, Luis; Pinto, Allan; Campana, Jose; Neira, Manuel; Santos, Andreza; Conceição, Jhonatas; Angeloni, Marcus; Li, Lin; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Abstract: Multiple research initiatives have been reported to yield highly effective results for the text detection problem. However, most of those solutions are very costly, which hamper their use in several applications ...
    • 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 ...
    • Digital Kompetanse i Barneskulane i Giske 

      Schaathun, Hans Georg; Mustafa, Ghulam; Glavee-Geo, Richard (Research report, 2020)
    • KGen: a knowledge graph generator from biomedical scientific literature 

      Rossanez, Anderson; Reis, Julio; Torres, Ricardo Da Silva; Ribaupierre, Hélène (Peer reviewed; Journal article, 2020)
      Background Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new ...
    • Quality control of fiberglass profiles using machine vision 

      Berge, Lars; Årekol, Even; Heide, Jarl Eirik; Ytterland, Ole-Kristian (Bachelor thesis, 2020)
      Vello Nordic produserer glassfiber profiler for dører og vinduer ved hjelp av ekstrudering. Produsere disse profilene er utfordrende på grunn av den lille feilmarginen. Under produksjon kan forskjellige årsaker føre til ...
    • Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity 

      Shaukat, Kamran; Luo, Suhuai; Varadharajan, Vijay; Hameed, Ibrahim A.; Chen, Shan; Liu, Dongxi; Li, Jiaming (Peer reviewed; Journal article, 2020)
      Cyberspace has become an indispensable factor for all areas of the modern world. The world is becoming more and more dependent on the internet for everyday living. The increasing dependency on the internet has also widened ...
    • INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches 

      Pinciroli Vago, Nicolo' Oreste; Lavinas, Yuri; Rodrigues, Daniele; Moura, Felipe; Cunha, Sergio; Aranha, Claus; Torres, Ricardo Da Silva (Chapter, 2020)
      This paper introduces Interactive Graph Analyzer (INTEGRA), a tool to support the comparison of simulated football matches with real ones, through the analysis of dynamic graphs. Our tool supports coordinated views of ...
    • 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 ...
    • Autonomous Inshore Navigation with Lidar 

      Waldum, Håkon Bjerkgaard; Jørundland, Ruben Svedal; Natvik, Ruben Ole Berg; Wille, Vebjørn Rimstad (Bachelor thesis, 2020)
      Denne rapporten omhandler utviklingen av en prototype som autonomt skal navigere og legge til kai ved bruk av Lidar som syn. Poenget i denne undersøkelsen er å utforske hvordan man implementer et slikt system, og hvor ...
    • A survey on sentiment analysis in Urdu: A resource-poor language 

      Khattak, Asad; Zubair Asghar, Muhammad; Saeed, Anam; Hameed, Ibrahim A.; Asif Hassan, Syed; Ahmad, Shakeel (Peer reviewed; Journal article, 2020)
      Background/introduction The dawn of the internet opened the doors to the easy and widespread sharing of information on subject matters such as products, services, events and political opinions. While the volume of studies ...
    • A Soft Computing Approach for Selecting and Combining Spectral Bands 

      Albarracin, Juan; Oliveira, Rafael S; Hirota, Marina; Santos, Jefersson; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks. The proposed approach is based on a Genetic-Programming ...
    • Fine-Grained Sentiment Analysis for Measuring Customer Satisfaction Using an Extended Set of Fuzzy Linguistic Hedges 

      Khattak, Asad; Paracha, Waqas Tariq; Asghar, Muhammad Zubair; Jillani, Nosheen; Younis, Umair; Saddozai, Furqan Khan; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2020)
      In recent years, the boom in social media sites such as Facebook and Twitter has brought people together for the sharing of opinions, sentiments, emotions, and experiences about products, events, politics, and other topics. ...
    • Domain Specific Lexicon Generation through Sentiment Analysis 

      Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Javed, Imran; Iqbal, Farhat; Faisal, Amber; Masood, Rabia; Usman, Ayesha; Shaukat, Usman; Hassan, Rosheen; Younas, Aliya; Ali, Shamshair; Adeem, Ghazif (Peer reviewed; Journal article, 2020)
      Sentiment analysis (SA) is used to extract opinions from a huge amount of data and these opinions are comprised of multiple words. Some words have different semantic meanings in different fields and we call them domain ...
    • The Optimal Train Reference - A Simplified ERTMS Data Analysis 

      Abbas, Sarmad Saeed (Bachelor thesis, 2020)
      Den optimale togreferansen - en forenklet ERTMS-dataanalyse er en bacheloroppgave utført av en student innen ingeniørfag - data. Prosjektet var gitt av Abraham Mosy, en senior ingeniør i Bane NOR, som er et statlig selskap ...