Blar i Vitenskapelige publikasjoner fra Institutt for teknologi på tittel
Viser treff 41-60 av 137
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Exploring Feedback and Gamification in a Data Modeling Learning Tool
(Peer reviewed; Journal article, 2021)Data modeling is an essential part of IT studies. Learning how to design and structure a database is important when storing data in a relational database and is common practice in the IT industry. Most students need much ... -
Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things
(Peer reviewed; Journal article, 2021)This paper introduced a new deep learning framework for fault diagnosis in electrical power systems. The framework integrates the convolution neural network and different regression models to visually identify which faults ... -
For Your Eyes Only: A Field Experiment on Nudging Hygienic Behavior
(Peer reviewed; Journal article, 2020) -
Form Feedback on the Web: A Comparison of Popup Alerts and In-Form Error Messages
(Journal article; Peer reviewed, 2019) -
A Gender Perspective on GDPR and Information Privacy
(Peer reviewed; Journal article, 2021)With the introduction of The General Data Protection Regulation (GDPR) in 2018, European citizens were granted stronger privacy protection. Despite privacy and GDPR being frequent topics of discussion, many consumers lack ... -
Health interventions and validity on social media: A literature review
(Peer reviewed; Journal article, 2018) -
How do Orthoses Impact Ease of Donning, Handwriting, Typewriting, and Transmission of Manual Torque? A study of Three Prefabricated Wrist Hand Orthoses
(Peer reviewed; Journal article, 2020) -
How to grow brand post engagement on Facebook and Twitter for airlines? An empirical investigation of design and content factors
(Journal article; Peer reviewed, 2019) -
Hybrid group anomaly detection for sequence data: application to trajectory data analytics
(Peer reviewed; Journal article, 2021)Many research areas depend on group anomaly detection. The use of group anomaly detection can maintain and provide security and privacy to the data involved. This research attempts to solve the deficiency of the existing ... -
Hybrid intelligent framework for automated medical learning
(Peer reviewed; Journal article, 2021)This paper investigates the automated medical learning and proposes hybrid intelligent framework, called Hybrid Automated Medical Learning (HAML). The goal is the efficient combination of several intelligent components in ... -
Identifying Five Archetypes of Interaction Design Professionals and Their Universal Design Expertise
(Journal article; Peer reviewed, 2019-09-12)Systems and services based on Information and Communications Technology (ICT) are now prevalent in our daily lives. Digital transformations have been, and are still being, initiated across private and public sectors. As ... -
ImageCLEF 2019: Multimedia retrieval in medicine, lifelogging, security and nature
(Peer reviewed; Journal article, 2019) -
The importance of relative customer-based label equity when signaling sustainability and health with certifications and tags
(Peer reviewed; Journal article, 2023)As a result of the increased crowding of the retail landscape with health and sustainability signals and hundreds of different certifications and claims, there is a growing need to determine the critical success factors ... -
Improving the Usability of Interactive Systems by Incorporating Design Thinking into the Engineering Process: Raising Computer Science Students’ Awareness of Quality versus Quantity in Ideation
(Chapter; Peer reviewed; Conference object, 2019) -
Increasing the effectiveness of ecological food signaling: Comparing sustainability tags with eco-labels
(Peer reviewed; Journal article, 2022) -
Increasing the effectiveness of ecological food signaling: Comparing sustainability tags with eco-labels
(Peer reviewed; Journal article, 2022) -
Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems
(Peer reviewed; Journal article, 2022)Abstract: This paper introduces a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with decomposition is explored ...