Scientific Publications in Information and Communication Technology
Recent Submissions
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Establishing a Health Data Marketplace: A Framework for Success
(Lecture Notes in Computer Science (LNCS); no. 17, Chapter; Peer reviewed, 2023)This study outlines essential elements needed to develop a Health Data Marketplace (HDM) by building upon an existing data platform in Norway. A comprehensive framework is proposed that accounts for technical, legal, ... -
Theoretical Analysis of the Radio Map Estimation Problem
(Journal article; Peer reviewed, 2024)Radio maps provide radio frequency metrics, such as the received signal strength, at every location of a geographic area. These maps, which are estimated using a set of measurements collected at multiple positions, find a ... -
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs
(Peer reviewed; Journal article, 2022)Radio maps find numerous applications in wireless communications and mobile robotics tasks, including resource allocation, interference coordination, and mission planning. Although numerous existing techniques construct ... -
A Simulation-Based Framework for the Design of Direction-Independent Human Activity Recognition Systems Using Radar Sensors
(Doctoral dissertations at University of Agder;no. 487, Doctoral thesis, 2024)Human activity recognition (HAR) systems play an important role in understanding and interpreting human movements across various domains, with applications ranging from automobiles to smart homes and health. This dissertation ... -
Practicing Effective Stakeholder Engagement for Impactful Research
(Peer reviewed; Journal article, 2023)Scholars acknowledge that achieving societal impact should be a key aim of research. However, societal impact usually becomes tangible only long after research completion, so that scholars can hardly report its evidence ... -
Exploring Multilingual Word Embedding Alignments in BERT Models : A Case Study of English and Norwegian
(Lecture Notes in Computer Science; no. 14381, Journal article; Peer reviewed, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ... -
Unsupervised State Representation Learning in Partially Observable Atari Games
(Lecture Notes in Computer Science; no. 14185, Journal article; Peer reviewed, 2023)State representation learning aims to capture latent factors of an environment. Although some researchers realize the connections between masked image modeling and contrastive representation learning, the effort is focused ... -
A Paradigm Shift From an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis
(Peer reviewed; Journal article, 2024)The development of radar-based classifiers driven by empirical data can be highly demanding and expensive due to the unavailability of radar data. In this article, we introduce an innovative simulation-based approach that ... -
A Simulation-Based Framework for the Design of Human Activity Recognition Systems Using Radar Sensors
(Peer reviewed; Journal article, 2023)Modern human activity recognition (HAR) systems are designed using large amounts of experimental data. So far, real-data-driven or experimental-based HAR systems using Wi-Fi or radar systems have shown considerable results. ... -
Deepfakes: current and future trends
(Peer reviewed; Journal article, 2024)Advances in Deep Learning (DL), Big Data and image processing have facilitated online disinformation spreading through Deepfakes. This entails severe threats including public opinion manipulation, geopolitical tensions, ... -
Robust Transmission for Reconfigurable Intelligent Surface Aided Millimeter Wave Vehicular Communications with Statistical CSI
(Peer reviewed; Journal article, 2021)The integration of reconfigurable intelligent surface (RIS) into millimeter wave (mmWave) vehicular communications offers the possibility to unleash the potential of future proliferating vehicular applications. However, ... -
Cell Association for MTC Devices in 5G Networks: Schemes and Performance Evaluation
(Chapter, 2021)Fifth generation (5G) networks offer tremendous opportunities for Internet of things applications by facilitating massive machine-type communications (MTC). As many MTC devices are battery powered and intend to stay often ... -
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment
(Chapter, 2022)The proliferation of fake news, i.e., news intentionally spread for misinformation, poses a threat to individuals and society. Despite various fact-checking websites such as PolitiFact, robust detection techniques are ... -
Tracking of Quantized Signals Based on Online Kernel Regression
(Peer reviewed; Journal article, 2021)Kernel-based approaches have achieved noticeable success as non-parametric regression methods under the framework of stochastic optimization. However, most of the kernel-based methods in the literature are not suitable to ... -
Performance Analysis of Alamouti Coded OFDM Systems over Wideband MIMO Car-to-Car Channels Correlated in Time and Space
(Chapter, 2014)In this paper, the performance of Alamouti coded orthogonal frequency division multiplexing (OFDM) systems over car-to-car (C2C) fading channels correlated in time and space is analyzed. Taking different geometrical ... -
Data-Driven Pump Scheduling for Cost Minimization in Water Networks
(Chapter, 2021)Pumps consume a significant amount of energy in a water distribution network (WDN). With the emergence of dynamic energy cost, the pump scheduling as per user demand is a computationally challenging task. Computing the ... -
Location-free Indoor Radio Map Estimation using Transfer learning
(Chapter; Peer reviewed, 2023)Accurate estimation of radio maps is important for various applications of wireless communications, such as network planning, and resource allocation. To learn accurate radio map models, one needs to have accurate knowledge ... -
Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications
(Chapter; Peer reviewed, 2022)This paper investigates the problem of transfer learning in radio map estimation for indoor wireless communications, which can be exploited for different applications, such as channel modelling, resource allocation, network ... -
Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications
(Chapter; Peer reviewed, 2022)In this paper, we investigate the application of transfer learning to train a Deep Neural Network (DNN) model for joint channel and power allocation in underlay device-todevice (D2D) communication. Based on the traditional ... -
Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic
(Chapter, 2021)Network slicing enabled by fifth generation (5G) systems has the potential to satisfy diversified service requirements from different vertical industries. As a typical vertical industry, smart distribution grid poses new ...
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