Scientific Publications in Information and Communication Technology
Recent Submissions
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Radar-Based Passive Step Counter and Its Comparison with a Wrist-Worn Physical Activity Tracker
(Communications in Computer and Information Science (CCIS); no. 1616, Chapter; Peer reviewed, 2022)Inspired by novel applications of radio-frequency sensing in healthcare, smart homes, rehabilitation, and augmented reality, we present an FMCW radar-based passive step counter. If a person walks or performs other activities, ... -
Localization and Activity Classification of Unmanned Aerial Vehicle using mmWave FMCW Radars
(Peer reviewed; Journal article, 2021)In this article, we present a novel localization and activity classification method for aerial vehicle using mmWave frequency modulated continuous wave (FMCW) Radar. The localization and activity classification for aerial ... -
Target Classification by mmWave FMCW Radars using Machine Learning on Range-Angle Images
(Peer reviewed; Journal article, 2021)In this paper, we present a novel multiclass-target classification method for mmWave frequency modulated continuous wave (FMCW) radar operating in the frequency range of 77 - 81 GHz, based on custom range-angle heatmaps ... -
Rate-Splitting Random Access Mechanism for Massive Machine Type Communications in 5G Cellular Internet-of-Things
(Chapter, 2021)The cellular Internet-of-Things has resulted in the deployment of millions of machine type communication (MTC) devices under the coverage of a single gNodeB (gNB). These massive number of devices should connect to the ... -
Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks
(Journal article; Peer reviewed, 2018)Disease outbreaks forecasting is a vital component in public-health resource planning and emergency preparedness. However, the existing procedures have limitations due to the lack of analytical knowledge about spatiotemporal ... -
Quantization Analysis and Robust Design for Distributed Graph Filters
(Peer reviewed; Journal article, 2021)Distributed graph filters have recently found appli- cations in wireless sensor networks (WSNs) to solve distributed tasks such as reaching consensus, signal denoising, and recon- struction. However, when implemented over ... -
Fully Automated Diagnostics of Induction Motor Drives in Offshore Wind Turbine Pitch Systems Using Extended Park Vector Transform and Convolutional Neural Network
(Journal article; Peer reviewed, 2024)Due to their location and related complexities, the offshore wind farms (OWF) have higher downtimes and operation and maintenance (O&M) costs compared to their onshore counterparts. Condition monitoring could help in ... -
Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation
(Peer reviewed; Journal article, 2024)Wind energy plays a vital role in meeting the sustainable development goals set forth by the United Nations. Performance of wind energy farms degrades gradually with aging. For deriving maximum benefits from these ... -
Online Non-linear Topology Identification from Graph-connected Time Series
(Chapter; Peer reviewed, 2021)Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over cyber-physical systems, and finance ... -
Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs
(Journal article; Peer reviewed, 2020)Radio maps are emerging as a popular means to endow next-generation wireless communications with situational awareness. In particular, radio maps are expected to play a central role in unmanned aerial vehicle (UAV) ... -
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, ...
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