Scientific Publications in Information and Communication Technology: Nye registreringer
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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 ... -
Online Topology Identification From Vector Autoregressive Time Series
(Peer reviewed; Journal article, 2020)Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multi-variate data sets in a format amenable for ... -
Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles
(Peer reviewed; Journal article, 2023)With the increased penetration of fluctuating renewables and growing population of contemporary loads such as electric vehicles, the uncertainties in the generation and demand in the electric power grids are increasing. ... -
Online Hyperparameter Search Interleaved with Proximal Parameter Updates
(Chapter, 2020)There is a clear need for efficient hyperparameter optimization (HO) algorithms for statistical learning, since commonly applied search methods (such as grid search with N-fold cross-validation) are inefficient and/or ... -
Accurate Graph Filtering in Wireless Sensor Networks
(Peer reviewed; Journal article, 2020)Wireless sensor networks (WSNs) are considered as a major technology enabling the Internet-of-Things (IoT) paradigm. The recent emerging graph signal processing field can also contribute to enabling the IoT by providing ... -
Enabling Soft Frequency Reuse and Stienen's Cell Partition in Two-Tier Heterogeneous Networks: Cell Deployment and Coverage Analysis
(Peer reviewed; Journal article, 2020)Heterogeneous cellular networks (HetNets) are one of the key enabling technologies for fifth generation (5 G) networks. In HetNets, the use of small base stations (SBSs) inside the coverage area of a macro base station ... -
Achieving Ultra Energy-efficient and Collision-free Data Collection in Wake-up Radio Enabled mIoT
(Chapter, 2020)To achieve ultra-low energy consumption and decade-long battery lifetime for Internet of things (IoT) networks, wake-up radio (WuR) appears as an eminent solution. While keeping devices in deep sleep for most of the time, ... -
Fast Graph Filters for Decentralized Subspace Projection
(Peer reviewed; Journal article, 2020)A number of inference problems with sensor networks involve projecting a measured signal onto a given subspace. In existing decentralized approaches, sensors communicate with their local neighbors to obtain a sequence of ... -
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment
(Journal article, 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 ... -
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation
(Chapter, 2022)Micro-segmentation of customers in the finance sector is a nontrivial task and has been an atypical omission from recent scientific literature. Where traditional segmentation classifies customers based on coarse features ... -
Outage Probability Analysis of User-Centric SBS-Based HCNets under Hybrid Rician/Rayleigh Fading
(Peer reviewed; Journal article, 2020)To model dense user equipment (UE) distribution in heterogeneous cellular networks (HCNets), the Poisson cluster process (PCP) has emerged as a promising tool. In user-centric HCNets where UEs are distributed according to ... -
Improving Energy Efficiency and Response Time of an Offshore Winch Drive with Digital Displacement Motors
(Peer reviewed; Journal article, 2023)Offshore winch drives require high energy efficiency and control precision, making digital displacement motors an attractive solution due to their high efficiency and potential controllability. However, the response time ... -
Scalable and Privacy-Aware Online Learning of Nonlinear Structural Equation Models
(Peer reviewed; Journal article, 2023)An online topology estimation algorithm for nonlinear structural equation models (SEM) is proposed in this paper, addressing the nonlinearity and the non-stationarity of real-world systems. The nonlinearity is modeled using ... -
Human Motion Synthesis Using Trigonometric Splines
(Peer reviewed; Journal article, 2023)In this work, we present a simple framework to synthesize human motion. Our main goal is to propose a methodology tailored for inexperienced users to initiate their research in human motion simulation and human motion ... -
Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks
(Peer reviewed; Journal article, 2023)Abnormal event detection is one of the most challenging tasks in computer vision. Many existing deep anomaly detection models are based on reconstruction errors, where the training phase is performed using only videos of ...