Vitenskapelige publikasjoner (TN-IDE)
Recent Submissions
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Balancing privacy and progress in artificial intelligence : Anonymization in histopathology for biomedical research and education
(Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications;, Chapter, 2024)The advancement of biomedical research heavily relies on access to large amounts of medical data. In the case of histopathology, Whole Slide Images (WSI) and clinicopathological information are valuable for developing ... -
DRL-Based Availability-Aware Migration of a MEC Service
(Peer reviewed; Journal article, 2024)Multi-access Edge Computing (MEC) allows a mobile user to access a service on a computing device called MEC Host (MEH), enabling lower latency by running the service closer to the users. When the user moves away from the ... -
Software Bill of Materials in Critical Infrastructure
(Chapter, 2024)Critical infrastructure today is comprised of cyber-physical systems, and therefore also vulnerable to cyber threats. Many of these threats come from within, through malicious code in software updates or bugs that can be ... -
Improving predictive models for rate of penetration in real drilling operations through transfer learning
(Peer reviewed; Journal article, 2023-09)The rate of penetration (ROP) is a key performance indicator in the oil and gas drilling industry as it directly translates to cost savings and emission reductions. A prerequisite for a drilling optimization algorithm is ... -
Building Precision: Efficient Encoder-Decoder Networks for Remote Sensing Based on Aerial RGB and LiDAR Data
(Peer reviewed; Journal article, 2024-04)Precision in building delineation plays a pivotal role in population data analysis, city management, policy making, and disaster management. Leveraging computer vision technologies, particularly deep learning models for ... -
SHPIA 2.0: An Easily Scalable, Low-Cost, Multi-purpose Smart Home Platform for Intelligent Applications
(Peer reviewed; Journal article, 2023-11)Sensors, electronic devices, and smart systems have invaded the market and our daily lives. As a result, their utility in smart home contexts to improve the quality of life, especially for the elderly and people with special ... -
Adaptive Methods for Revenue Model learning of a Slice Broker in the Presence of Adversaries
(Peer reviewed; Journal article, 2024)In the fifth-generation (5G) of mobile networks, Multi-Access Edge Computing (MEC) refers to the deployment of computing resources closer to the end-users for improved service delivery. In the context of 5G MEC, the slice ... -
Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review
(Peer reviewed; Journal article, 2023)Bladder cancer (BC) diagnosis and prediction of prognosis are hindered by subjective pathological evaluation, which may cause misdiagnosis and under-/over-treatment. Computational pathology (CPATH) can identify clinical ... -
Field Telemetry Drilling Dataset Modeling with Multivariable Regression, Group Method Data Handling, Artificial Neural Network, and the Proposed Group-Method-Data-Handling-Featured Artificial Neural Network
(Peer reviewed; Journal article, 2024)This paper presents data-driven modeling and a results analysis. Group method data handling (GMDH), multivariable regression (MVR), artificial neuron network (ANN), and new proposed GMDH-featured ANN machine learning ... -
Investigation of the Effect of Fracturing Fluids on Shale Pore Structure by Nuclear Magnetic Resonance
(Peer reviewed; Journal article, 2023)Hydraulic fracturing technology significantly enhances the productivity of shale oil and gas reservoirs. Nonetheless, the infiltration of fracturing fluid into shale formations can detrimentally affect the microscopic pore ... -
RiskTUN: An ICT-based Concept for a Risk-aware Decision Support System for Tunnel Safety
(Chapter, 2023)Safety in road tunnels are of utmost importance for the public notion of safety within the road system. In recent years, there has been significant progress in multiple areas of artificial intelligence, sensor fusion and ... -
Virtual Actuator and Sensor Fault Tolerant Consensus for Homogeneous Linear Multi-Agent Systems
(Peer reviewed; Journal article, 2023)This paper presents a fault tolerant consensus protocol for homogeneous linear multi-agent systems using virtual actuators and virtual sensors. By means of the virtual actuators/sensors, the faulty system is reconfigured ... -
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track
(Chapter, 2023)This paper reports on an effort of reproducing the organizers’ baseline as well as the top performing participant submission at the 2021 edition of the TREC Conversational Assistance track. TREC systems are commonly regarded ... -
Modeling and identification of the Quanser Aero using a detailed description of friction and centripetal forces
(Chapter, 2023)This paper deals with the modeling and identification of the Quanser Aero. The Quanser Aero is an aerospace laboratory setup designed for teaching aerospace concepts. Two propellers generate thrust and allow the user to ... -
Distributed Ledger Technology Based Integrated Healthcare Solution for Bangladesh
(Peer reviewed; Journal article, 2023)Healthcare data is highly sensitive and must be safeguarded. Personal and sensitive data, such as names and addresses, is stored in Encrypted Electronic Health Records (EHRs). This paper proposes a Blockchain-based distributed ... -
A Systematic Review of Fairness, Accountability, Transparency and Ethics in Information Retrieval
(Peer reviewed; Journal article, 2023)We live in an information society that strongly relies on information retrieval systems, such as search engines and conversational assistants. Consequently, the trustworthiness of these systems is of critical importance, ... -
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems
(Journal article, 2023)A key distinguishing feature of conversational recommender systems over traditional recommender systems is theirability to elicit user preferences using natural language. Currently, the predominant approach to preference ... -
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
(Peer reviewed; Journal article, 2023)Many individuals, including researchers, professors, and students, encounter difficulties when searching for scholarly documents, papers, and journals within a specific domain. Consequently, scholars have begun to focus ... -
Exploring the need for a CERT for the Norwegian Construction Sector
(Chapter, 2023)This paper presents an empirical study on the need for sector-specific CERT capacity in the Norwegian construction sector. Findings from the interviews demonstrate a need for developing competence in ICT security in this ... -
The Control Zendo: A Game of Inductive Logic for Teaching Automatic Control
(Peer reviewed; Journal article, 2023)Board games and card games have been used with some degree of success in the implementation of active strategies for education, since they stimulate problem solving and increase the learning and engagement of the students. ...
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