Vitenskapelige publikasjoner (TN-IDE): Recent submissions
Now showing items 161-180 of 251
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A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest
(Peer reviewed; Journal article, 2020)Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological ... -
Defensive Distillation-based Adversarial Attack Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
(Peer reviewed; Journal article, 2022-09)Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks ... -
Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks
(Peer reviewed; Journal article, 2022-09-14)Next-generation communication networks, also known as NextG or 5G and beyond, are the future data transmission systems that aim to connect a large amount of Internet of Things (IoT) devices, systems, applications, and ... -
Modeling of Swab and Surge Pressures: A Survey
(Peer reviewed; Journal article, 2022-03)Swab and surge pressure fluctuations are decisive during drilling for oil. The axial movement of the pipe in the wellbore causes pressure fluctuations in wellbore fluid; these pressure fluctuations can be either positive ... -
The devil is in the details: Whole Slide Image acquisition and processing for artifacts detection, color variation, and data augmentation: A review.
(Peer reviewed; Journal article, 2022)Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis of different types of cancer. The preparation and digitization of histological tissues leads to the introduction of artifacts and ... -
On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection
(Peer reviewed; Journal article, 2022-01)In the development of radiofrequency fingerprinting (RFF), one of the major challenges is to extract subtle and robust features from transmitted signals of wireless devices to be used in accurate identification of possible ... -
Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis
(Peer reviewed; Journal article, 2022-03)Breast cancer death rates are higher than any other cancer in American women. Machine learning-based predictive models promise earlier detection techniques for breast cancer diagnosis. However, making an evaluation for ... -
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
(Peer reviewed; Journal article, 2022-03)Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ... -
On Interpretation and Measurement of Soft Attributes for Recommendation
(Chapter, 2021-07)We address how to robustly interpret natural language refinements (or critiques) in recommender systems. In particular, in human-human recommendation settings people frequently use soft attributes to express preferences ... -
Conversational Entity Linking: Problem Definition and Datasets
(Chapter, 2021-07)Machine understanding of user utterances in conversational systems is of utmost importance for enabling engaging and meaningful conversations with users. Entity Linking (EL) is one of the means of text understanding, with ... -
Conversational AI from an Information Retrieval Perspective: Remaining Challenges and a Case for User Simulation
(Peer reviewed; Journal article, 2021-09)Conversational AI is an emerging field of computer science that engages multiple research communities, from information retrieval to natural language processing to dialogue systems. Within this vast space, we focus on ... -
Snarl : entangled merkle trees for improved file availability and storage utilization
(Chapter, 2021-12)In cryptographic decentralized storage systems, files are split into chunks and distributed across a network of peers. These storage systems encode files using Merkle trees, a hierarchical data structure that provides ... -
Blockchain Based Transaction System with Fungible and Non-Fungible Tokens for a Community-Based Energy Infrastructure
(Peer reviewed; Journal article, 2021-05)Renewable energy microgeneration is rising leading to creation of prosumer communities making it possible to extract value from surplus energy and usage flexibility. Such a peer-to-peer energy trading community requires a ... -
Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning
(Peer reviewed; Journal article, 2021-08)The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ... -
Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images
(Peer reviewed; Journal article, 2021-12)Purpose To evaluate a novel texture-based probability mapping (TPM) method for scar size estimation in LGE-CMRI. Methods This retrospective proof-of-concept study included chronic myocardial scars from 52 patients. ... -
Event-triggered leader-following formation control for multi-agent systems under communication faults: Application to a fleet of unmanned aerial vehicles
(Journal article, 2021-10)The main contribution of this paper is the design of an event-triggered formation control for leader-following consensus in second-order multi-agent systems (MASs) under communication faults. All the agents must follow the ... -
Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke
(Peer reviewed; Journal article, 2021-07)Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ... -
Design of shifting state-feedback controllers for LPV systems subject to time-varying saturations via parameter-dependent Lyapunov functions
(Peer reviewed; Journal article, 2021-07)This paper considers the problem of designing a shifting state-feedback controller via quadratic parameter-dependent Lyapunov functions (QPDLFs) for systems subject to symmetric time-varying saturations. By means of the ... -
Guaranteed cost estimation and control for a class of nonlinear systems subject to actuator saturation
(Peer reviewed; Journal article, 2021-07)The problems of guaranteed cost estimation (GCE) and guaranteed cost control (GCC) concern designing a state observer or a controller, respectively, such that some performance is maintained below an upper bound. This paper ... -
The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System
(Peer reviewed; Journal article, 2021-05)A smart city is an urban area that collects data using various electronic methods and sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to improve the quality of services by managing ...