Vitenskapelige publikasjoner (TN-IDE)
Recent Submissions
-
Revolutionizing Prostate Whole-Slide Image Super-Resolution: A Comparative Journey from Regression to Generative Adversarial Networks
(Peer reviewed; Journal article, 2024-06)Microscopic and digital whole-slide images (WSIs) often suffer from limited spatial resolution, hindering accurate pathological analysis and cancer diagnosis. Improving the spatial resolution of these pathology images is ... -
Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks using Kubernetes
(Peer reviewed; Journal article, 2024)Mobile Edge Computing (MEC) has a significant potential to become more prevalent in Fifth Generation (5G) networks, requiring resource management that is lightweight, agile, and dynamic. Container-based virtualization ... -
Simulation in the GPenSIM Environment of the Movement of Vehicles in the City Based on Their License Plate Numbers
(Peer reviewed; Journal article, 2024)This paper uses colored Petri nets (PN) to develop a model of vehicle movement in a city. The modeler defines the number and location of crossroads, the connections between them, and how many vehicles are at the given ... -
Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning
(Peer reviewed; Journal article, 2024)In this study, a Machine Learning (ML)-based approach is proposed to enhance the computational efficiency of a particular method that was previously proposed by the authors for passive localization of radar emitters based ... -
Modeling and Analyzing the Strategy Game “Factorio” Using Modular Petri Nets and the General-Purpose Petri Net Simulator
(Peer reviewed; Journal article, 2024-04)The video game Factorio is a popular real-time strategy game that hosts a variety of gameplay scenarios analogous to real-world problems such as factory building, pipeline optimization, and conveyor belt logistics. It also ... -
Uncertainty quantification in large language models through convex hull analysis
(Peer reviewed; Journal article, 2024-11)Uncertainty quantification approaches have been more critical in large language models (LLMs), particularly high-risk applications requiring reliable outputs. However, traditional methods for uncertainty quantification, ... -
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
(Peer reviewed; Journal article, 2024)The most prevalent form of bladder cancer is urothelial carcinoma, characterized by a high recurrence rate and substantial lifetime treatment costs for patients. Grading is a prime factor for patient risk stratification, ... -
Santa has Everything under Control: A Control Themed Advent Calendar
(Peer reviewed; Journal article, 2024-11)We describe the process of creating a control themed advent calendar quiz by means of a joint effort of researchers involved in control education from different countries, of distributing it among our students, and of ... -
Integration of Local Energy Communities in Electricity Distribution Grids: FINE project deliverable
(SINTEF Energi. Rapport;, Research report, 2024)This report investigates the integration of Local Energy Communities (LECs) into electricity distribution networks, with a focus on enhancing grid flexibility, optimizing resource use, and supporting the transition to ... -
Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study
(Peer reviewed; Journal article, 2024)he revolutionary technologies behind Industry 4.0 have opened a new era for manufacturing: connected and autonomous machines, collaborative robotics, and monitoring techniques are spreading to increase productivity and ... -
Journey mapping the digital remote care services: Problems and opportunities for a large-scale implementation in China
(Peer reviewed; Journal article, 2024)Digital remote care has emerged as a transformative approach in the delivery of healthcare services. This paper presents an empirical case study that investigates the utilization of digital remote care for postoperative ... -
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 ...