Now showing items 6037-6056 of 6559

    • Twig: Multi-Agent Task Management for Colocated Latency-Critical Cloud Services 

      Nishtala, Rajiv; Petrucci, Vinicius; Carpenter, Paul; Själander, Magnus (Peer reviewed; Journal article, 2020)
      Many of the important services running on data centres are latency-critical, time-varying, and demand strict user satisfaction. Stringent tail-latency targets for colocated services and increasing system complexity make ...
    • Twig: Profile-Guided BTB Prefetching for Data Center Applications 

      Ahmed Khan, Tanvir; Brown, Nathan; Sriraman, Akshitha; Soundararajan, Niranjan; Kumar, Rakesh; Devietti, Joseph; Subramoney, Sreenivas; Pokam, Gilles; Litz, Heiner; Kasikci, Baris (Chapter, 2021)
      Modern data center applications have deep software stacks, with instruction footprints that are orders of magnitude larger than typical instruction cache (I-cache) sizes. To efficiently prefetch instructions into the I-cache ...
    • A Twin XCBR System Using Supportive and Contrastive Explanations 

      Bayrak, Betül; Bach, Kerstin (Chapter, 2023)
      Machine learning models are increasingly being applied in safety-critical domains. Therefore, ensuring their trustworthiness and reliability has become a priority. Uncertainty measures the lack of trust in these models, ...
    • Twitter Sentiment Analysis - Exploring Automatic Creation of Sentiment Lexica 

      Fredriksen, Valerij; Jahren, Brage Ekroll (Master thesis, 2016)
      In recent years, micro-blogging on the Internet has become a popular way of expressing your thoughts and feelings. Twitter is a social networking service specialized on the phenomenon, with over 320 million monthly active ...
    • Twitter Sentiment Analysis - Exploring the Effects of Linguistic Negation 

      Faret, Jørgen; Reitan, Johan (Master thesis, 2015)
      Twitter sentiment analysis, the process of automatically extracting sentiment conveyed by Twitter data, is a field that has seen a dramatic increase in research in recent times. This Master's Thesis presents a study of the ...
    • Two Years After: A Scoping Review of GDPR Effects on Serious Games Research Ethics Reporting 

      Jost, Patrick; Lampert, Marisa (Chapter, 2020)
      On May 25th, 2018, the EU General Data Protection Regulation (GDPR) came into force. Recognised as a comprehensive regulation for improving privacy and data protection, a substantial impact on data processing disciplines ...
    • Two-hand, camera-based gesture recognition for SoundDream 

      Støren, Henrik Hjorthen (Master thesis, 2015)
      Hand gesture recognition is the task of having a machine recognize the hand gestures made by a human. In this thesis the main focus has been to research AI methods for gesture recognition. I investigate machine learning ...
    • U-Compare bio-event meta-service: compatible BioNLP event extraction services 

      Kano, Yoshinobu; Björne, Jari; Ginter, Filip; Salakoski, Tapio; Buyko, Ekaterina; Hahn, Udo; Cohen, Kevin Bretonnel; Verspoor, Karin; Roeder, Christophe; Hunter, Lawrence E.; Kilicoglu, Halil; Bergler, Sabine; Van Landeghem, Sofie; Van Parys, Thomas; Van de Peer, Yves; Miwa, Makoto; Ananiadou, Sophia; Neves, Mariana; Pascual-Montano, Alberto; Ozgur, Arzucan; Radev, Dragomir R.; Riedel, Sebastian; Sætre, Rune; Chun, Hong-Woo; Kim, Jin-Dong; Pyysalo, Sampo; Ohta, Tomoko; Tsujii, Jun'ichi (Journal article; Peer reviewed, 2011)
      Background: Bio-molecular event extraction from literature is recognized as an important task of bio text mining and, as such, many relevant systems have been developed and made available during the last decade. While ...
    • UAV-enabled data acquisition scheme with directional wireless energy transfer for Internet of Things 

      Liu, Yalin; Dai, Hong-Ning; Wang, Hao; Imran, Muhammad; Wang, Xiaofeng; Shoaib, Muhammad (Peer reviewed; Journal article, 2020)
      Low power Internet of Things (IoT) is suffering from two limitations: battery-power limitation of IoT nodes and inflexibility of infrastructure-node deployment. In this paper, we propose an Unmanned Aerial Vehicle (UAV)-enabled ...
    • UAV-enabled friendly jamming scheme to secure industrial Internet of Things 

      Wang, Qubeijian; Dai, Hong-Ning; Wang, Hao; Xu, Guangquan; Sangaiahs, Arun Kumar (Journal article; Peer reviewed, 2019)
      Eavesdropping is a critical threat to the security of industrial Internet of things (IIoT) since many malicious attacks often follow eavesdropping activities. In this paper, we present an anti-eavesdropping scheme based ...
    • UbiBazaar: App Store for the Internet of Things 

      Stastny, Simon (Master thesis, 2015)
      Recently the world witnesses the emergence of Internet of Things (IoT) technologies, as new commercial IoT products by both large tech companies and new startups are coming to market daily. The recent boom in hardware ...
    • UbiCollab: A Service Architecture for Supporting Ubiquitous Collaboration 

      Brustad, Andreas Larsen; Mosveen, Christian Hågensen (Master thesis, 2006)
      Ubiquitous computing integrates computation into the environment, and enables users to move around and interact with computers more naturally than they currently do. This helps to address some of the traditional challenges ...
    • UbiFall: a study of fall detection services and use of social media 

      Lund, Andreas (Master thesis, 2013)
      En studie av eksisterende falldeteksjon-servicer og systemer, samt planlegging, utvikling, implementasjon og evaluering av et nytt system i samarbeid med SINTEF.
    • Ubiquitous Computing at Point of Care in Hospitals: A User-Centered Approach 

      Dahl, Yngve (Doktoravhandlinger ved NTNU, 1503-8181; 2007:147, Doctoral thesis, 2007)
      Ubiquitous computing opens up for a wide range of ways to support human-computer interaction beyond the desktop, and promises more seamless integration between computer technology and situations of use. However, the ...
    • Ultrasound Guided Surgery: Multimodal Visualization and Navigation Accuracy 

      Lindseth, Frank (Dr. ingeniøravhandling, 0809-103X; 2002:143, Doctoral thesis, 2003)
      The overall goal of this study was to develop new and improved techniques in the field of ultrasound-guided minimal invasive surgery that could be implemented in future navigation systems based on ultrasound. The focus has ...
    • Unconventional Biometrics 

      Barbosa, Igor Barros (Doctoral theses at NTNU;2020:262, Doctoral thesis, 2020)
      This thesis is a paper collection that focuses on unconventional methods of biometric recognition. Four new approaches are presented and discussed. The first two introduce and explore the concepts behind transient biometrics. ...
    • Uncovering the dark side of AI-based decision-making: A case study in a B2B context 

      Papagiannidis, Emmanouil; Mikalef, Patrik; Conboy, Kieran; van de wetering, Rogier (Peer reviewed; Journal article, 2023)
      Over the last decade, many organizations worldwide have been assimilating Artificial Intelligence (AI) technologies to increase their productivity and attain a competitive advantage. As with any technology, intelligence ...
    • Uncovering the Educational Data Mining Landscape and Future Perspective: A Comprehensive Analysis 

      Ozyurt, Ozcan; Ozyurt, Hacer; Mishra, Deepti (Journal article; Peer reviewed, 2023)
      Educational data mining (EDM) enables improving educational systems by using data mining techniques on educational data to analyze students’ learning processes to extract valuable information that helps optimize teaching ...
    • The underlying components of data-driven smart sustainable cities of the future: a case study approach to an applied theoretical framework 

      Bibri, Simon Elias (Peer reviewed; Journal article, 2021)
      The increased pressure on cities has led to a stronger need to build sustainable cities that can last. Planning sustainable cities of the future, educated by the lessons of the past and anticipating the challenges of the ...
    • Understanding and Analyzing Emergent Misbehavior on Cyber-Physical Systems. 

      Kaloudi, Nektaria (Doctoral theses at NTNU;2023:114, Doctoral thesis, 2023)
      In a constantly evolving world, various technologies such as artificial intelligence (AI) influence the development of digital transformation through its decision-making capabilities. Cyber-physical systems (CPSs) are ...