Browsing Institutt for datateknologi og informatikk by Title
Now showing items 6051-6070 of 6558
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Unconventional Biometrics
(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
(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
(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
(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.
(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 ... -
Understanding and Assessing Quality of Models and Modeling Languages
(Chapter, 2018) -
Understanding and augmenting children's learning experiences with motion-based technologies: The role of multimodal analytics
(Doctoral theses at NTNU;2023:231, Doctoral thesis, 2023)Including children in the learning process through purposeful motion is a complex, yet promising endeavour. Motion-Based Technologies (MBTs), which depend on sensors to naturally engage children through “touchless” gesture, ... -
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
(Chapter, 2018)Deep neural networks, including recurrent networks, have been successfully applied to human activity recognition. Unfortunately, the final representation learned by recurrent networks might encode some noise (irrelevant ... -
Understanding and Reasoning About Early Signs of Sepsis - From Annotation Guideline to Ontology
(Chapter, 2022)In the clinical domain, patient states such as sepsis due to bloodstream infection (BSI) result in observable symptoms and signs used to determine diagnosis and treatment, all of which often is documented in electronic ... -
Understanding and Visualizing Filters in Deep Convolutional Neural Network Architectures
(Master thesis, 2018)Deep neural networks are black boxes. While we know how they learn, we still don t have a great understanding of what they learn. This project has a goal of visualizing and understanding what convolutional neural networks ... -
Understanding Awareness Support in Home Care Technology
(Master thesis, 2017)An aging population is one of the reasons why institutionalized care services are struggling to meet the demands. As a result, demands are met through extended focus on home care services, which in turn have stimulated the ... -
Understanding Black-Box Attacks Against Object Detectors from a User's Perspective
(Chapter, 2022)Due to recent developments in object detection systems, and the realistic threat of black-box adversarial attacks on object detector models, we argue the need for a contextual understanding of the attacks from the users’ ... -
Understanding challenges in municipal greenhouse gas emission inventories
(Chapter, 2016)A necessary prerequisite for impactful climate mitigation action is the availability of suitable and reliable baselines of emissions. This is especially true for urban and citylevel actions and strategies that need reliable ... -
Understanding Challenges of Applying Enterprise Architecture in Public Sectors: A Technology Acceptance Perspective
(Chapter, 2019)Enterprise Architecture (EA) as a popular approach, has been used in city governments and public sectors to improve consistency among their business goals and ICT implementations. Despite theoretical benefits that have ... -
Understanding challenges to adoption of the Microsoft Elevation of Privilege game
(Chapter, 2018)The goal of secure software engineering is to create software that keeps performing as intended even when exposed to an active attacker. Threat modelling is considered to be a key activity, but can be challenging to perform ... -
Understanding Challenges to Adoption of the Protection Poker Software Security Game
(Chapter, 2019)Currently, security requirements are often neglected in agile projects. Despite many approaches to agile security requirements engineering in literature, there is little empirical research available on why there is limited ... -
Understanding Civic Engagement on Social Media Based on Users’ Motivation to Contribute
(Peer reviewed; Journal article, 2021)Socialmediaoffervariousopportunitiesforcivicengagementby,e.g., liking, sharing, or posting relevant content. Users’ motivation to contribute to relevant topics is quite divers and can stem from an intrinsic motivation to ... -
Understanding coding activities for teens: a focus on school teachers' perspectives
(Chapter, 2020)Over the last few years, researchers, teachers, parents, volunteers, and even IT companies have joined efforts to develop coding activities for children in K-12 education. These efforts include technological tools and ... -
Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey
(Peer reviewed; Journal article, 2023)Emotion recognition plays a significant role in cognitive psychology research. However, measuring emotions is a challenging task. Thus, several approaches have been designed for facial expression recognition (FER). Although, ... -
Understanding digital platform evolution using compartmental models
(Peer reviewed; Journal article, 2023)Due to the growing impact of digital platforms, it is increasingly important to understand their evolution through mathematical models. As their value is dependent on their user base, we present an improved perspective on ...