Institutt for datateknologi og informatikk: Nye registreringer
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Improving Labour Inspection Efficiency via Machine Learning
(Doctoral theses at NTNU;2024:130, Doctoral thesis, 2024)Labour inspections are carried out nationwide by governmental agencies in countries that have ratified the International Labour Organization’s Labour Inspection Convention (1947), to enforce decent working conditions and ... -
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series
(Journal article; Peer reviewed, 2023)The field of time series anomaly detection is constantly advancing, with several methods available, making it a challenge to determine the most appropriate method for a specific domain. The evaluation of these methods is ... -
Fool Me Once, Shame on Me - A Qualitative Interview Study of Social Engineering Victims
(Journal article; Peer reviewed, 2023)Security breaches still continue to flourish despite of the many technical measures in place. More often than not, the human users get the blame. Social engineering attacks use various manipulation techniques to fool users ... -
Digital Transformation – A Flow Perspective
(Journal article; Peer reviewed, 2023)As we move along the ever-transforming world of digital technology and organizations, the perspective of how we view digital transformation (DT) also transforms. The episodic and continuous nature of changes requires an ... -
Towards autonomous contact-free operations in aquaculture
(Journal article; Peer reviewed, 2023)As offshore fish farms are established farther away from the shore, increased exposure to the elements prevents regular operations from being performed safely with vessels moored alongside the flexible fish cage and personnel ... -
TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores
(Peer reviewed; Journal article, 2024)The recent shift in the VLSI industry from conventional MOSFET to FinFET for designing contemporary chip-multiprocessor (CMP) has noticeably improved hardware platforms’ computing capabilities, but at the cost of several ... -
MARCO: An Experimental High-Performance Compiler for Large-Scale Modelica Models
(Chapter, 2023)This paper introduces MARCO, a research compiler aimed at the efficient generation of efficient simulation code from a large-scale Modelica model. MARCO’s design goals, requirements, and specifications are dis- cussed in ... -
Precision Tuning the Rust Memory-Safe Programming Language
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Mixed Precision in Heterogeneous Parallel Computing Platforms via Delayed Code Analysis
(Journal article, 2023)Mixed Precision techniques have been successfully applied to improve the performance and energy efficiency of computation in embedded and high performance systems. However, few solutions have been proposed that address ... -
Real-time feedback on chest compression efficacy by hands-free carotid Doppler in a porcine model
(Journal article; Peer reviewed, 2024)Aim: Current guidelines for cardiopulmonary resuscitation (CPR) recommend a one-size-fits-all approach in relation to the positioning of chest compressions. We recently developed RescueDoppler, a hands-free Doppler ultrasound ... -
Evaluation of Learned Index with String Keys
(Master thesis, 2024)I de siste par årene har det blitt gjort forsøk på å integrere maskinlæring i databasesystemer. Spesielt har konseptet lærte indekser åpnet for mye forskning ettersom det teoretisk kan oppnå svært høy innhenting av ... -
Chronic kidney disease and risk of bloodstream infections and sepsis: a 17-year follow-up of the population-based Trøndelag Health Study in Norway
(Journal article; Peer reviewed, 2024)Purpose: Bloodstream infections (BSI) and sepsis are important causes of hospitalization, loss of health, and death globally. Targetable risk factors need to be identified to improve prevention and treatment. In this study, ... -
Performance and Interpretability of Entity Matching with Deep Learning
(Doctoral theses at NTNU;2024:173, Doctoral thesis, 2024)Entity matching is the problem of identifying which records refer to the same real-world entity. It is a key data integration task and, despite decades of research, is still challenging. In recent years, deep learning has ... -
Sustainable Software Engineering: An Empirical Study of the Brazilian Financial Sector
(Chapter, 2022)Sustainability concerns have been noticed as the most critical asset worldwide to allow the next generations to survive in a world better than the one we live in today. Many initiatives are determined to monitor, enhance ... -
Social Sustainability Approaches for a Sustainable Software Product
(Peer reviewed; Journal article, 2023)Sustainability is the use of existing resources without compromising them for future generations. Resources must be guaranteed in the environmental, economic, and social dimensions. Sustainable Software Engineering is an ... -
Responsible AI governance in practice: The strategic impact of responsible AI governance on business value and competitiveness
(Doctoral theses at NTNU;2024:184, Doctoral thesis, 2024)Artificial Intelligence (AI) comprises a set of technologies with vast potential applications, which can range from autonomous vehicles and chatbots to fraud detection and medical diagnosis. While the domain of AI research ... -
ePortfolios in Higher Education: Enabling Students to Recognize Acquired Competencies - Research in Computing Education
(Doctoral thesis, 2024)Competence is an integral part of learning outcomes in Norwegian higher education. It is the ability to use knowledge and skills in the real world, such as in a professional context. However, students often struggle to ... -
Early childhood pre-service teachers’ preparation for using technology with children: a systematic literature review
(Journal article; Peer reviewed, 2024)This systematic literature review examined how teacher education prepared early childhood pre-service teachers to utilise digital technology with children. After searching in relevant databases the review analysed 21 ... -
Automatically Detecting Political Viewpoints in Norwegian Text
(Journal article, 2024)We introduce three resources to support research on political texts in Scandinavia. The encoder-decoder transformer models sp-t5 and sp-t5-keyword were trained on political texts. The nor-pvi (available at https://tinyur ... -
The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education
(Peer reviewed; Journal article, 2024)This paper introduces the design, development, and deployment of a Virtual Driving Instructor (VDI) for enhanced driver education. The VDI provides personalized, real-time feedback to students in a driving simulator, ...