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Cross-Subject emotion recognition from EEG using Convolutional Neural Networks
(Chinese Control Conference (CCC);2020 39th Chinese Control Conference (CCC), Peer reviewed; Journal article, 2020-09-09)Using electroencephalogram (EEG) signals for emotion detection has aroused widespread research concern. However, across subjects emotional recognition has become an insurmountable gap which researchers cannot step across ... -
A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog
(International Journal of Mobile Information Systems;Volume 2018, Journal article; Peer reviewed, 2018-03-01)With the advent of Internet of things (IoT) and cloud computing technologies, we are in the era of automation, device-to-device (D2D) and machine-to-machine (M2M) communications. Automated vehicles have recently gained a ... -
Crowdsourcing-based Disaster Management using Fog Computing in Internet of Things Paradigm
(Chapter; Peer reviewed; Chapter, 2016)In internet of things (IoT) paradigm, crowdsourcing is the process of obtaining and analyzing information or input to a particular task or project generated by a number of sources such as sensors, mobile devices, vehicles ... -
Crystal limits of compact semisimple quantum groups as higher-rank graph algebras
(Journal für die Reine und Angewandte Mathematik;, Peer reviewed; Journal article, 2023)Let Oq [K] denote the quantized coordinate ring over the field C(q) of rational functions corresponding to a compact semisimple Lie group K, equipped with its ∗-structure. Let A0 ⊂ C(q) denote the subring of regular functions ... -
The cues that matter: Screening for quality signals in the ex ante phase of buying professional services
(Journal of Business Research;Volume 98, May 2019, Journal article; Peer reviewed, 2019-02-21)Service quality has become a central driver of competitive advantage and value creation. However, due to information asymmetries, many clients find it difficult to assess the service providers' quality ex ante. Nonetheless, ... -
Cultivating a Universal Design Mindset in Young Students
(Chapter; Peer reviewed, 2017)Universal Design (UD) is an approach to promoting an inclusive society with equity as a central focus. With trends in globalization and population aging , it is critical to cultivate a UD-oriented ... -
Cultural factors influencing Taiwanese and Norwegian engineering students’ choice of university
(European Journal of Engineering Education;35 (2), Journal article; Peer reviewed, 2010-05)Insight into factors that affect students’ choice of university is useful when designing study programmes, especially in global competition for students. This study focuses on Taiwanese and Norwegian students’ preferences ... -
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs
(Springer Proceedings in Mathematics & Statistics;volume 323, Conference object, 2020-06-10)In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ... -
Data center traffic scheduling with hot-cold link detection capabilities
(RACS '18 Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems;, Chapter; Chapter; Peer reviewed, 2018)Software-Defined Networking (SDN) has been one of the most discussed areas in computer networking over the last years. The field has raised an extensive amount of research, and led to a transformation of traditional network ... -
Data fusion without knowledge of the ground truth using Tseltin-like Automata
(Chapter; Peer reviewed; Chapter, 2016)The fusioning of data from unreliable sensors has received much research attention. The main stream of research assesses the reliability of a sensor by comparing its readings to the ground ... -
Data Quality Barriers for Transparency in Public Procurement
(Information; Volume 13, Issue 2, Peer reviewed; Journal article, 2022-02-20)Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ... -
Data quality issues in solar panels installations: a case study
(SEA4DQ: Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things;SEA4DQ '22: 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, Conference object, 2022-11-09)Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of ... -
Data quality model for assessing public COVID-19 big datasets
(Peer reviewed; Journal article, 2023)For decision-making support and evidence based on healthcare, high quality data are crucial, particularly if the emphasized knowledge is lacking. For public health practitioners and researchers, the reporting of COVID-19 ... -
Data-driven model of the power-grid frequency dynamics
(IEEE Access;Volume 8, 2020, Peer reviewed; Journal article, 2020-01-20)The energy system is rapidly changing to accommodate the increasing number of renewable generators and the general transition towards a more sustainable future. Simultaneously, business models and market designs evolve, ... -
DataCloud: Enabling the Big Data Pipelines on the Computing Continuum
(Lecture Notes in Business Information Processing;Volume 415, Conference object, 2021-05)With the recent developments of Internet of Things (IoT) and cloud-based technologies, massive amounts of data are generated by heterogeneous sources and stored through dedicated cloud solutions. Often organizations generate ... -
Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration
(Peer reviewed; Journal article, 2023)Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges. In that context, distributed computing solutions such as cloud systems are ... -
A dataset for predicting cloud cover over Europe
(Peer reviewed; Journal article, 2024)Clouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections ... -
A Decentralized Approach for Homogenizing Load Distribution in Cloud Data Center Based on Stable Marriage Matching
(MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems;, Conference object, 2019)Running a sheer virtualized data center with the help of Virtual Machines (VM) is the de facto-standard in modern data centers. Live migration offers immense flexibility opportunities as it endows the system administrators ... -
A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering
(Peer reviewed; Journal article, 2023)An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient ... -
A Deep Learning Approach to Dynamic Passive RTT
(2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC);, Conference object, 2019)The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...