Now showing items 101-120 of 705

    • Organizing cybersecurity in action : a Pragmatic Ethical Reasoning approach 

      Baskerville, Richard; Depaoli, Paolo; Spagnoletti, Paolo (Journal article; Peer reviewed, 2021)
      This paper contributes to the literature on cybersecurity governance by suggesting an approach based on pragmatism. As Jeffrey Sachs in his The Age of Sustainable Development, 2015, reminds us: “The essence of sustainable ...
    • Automatic Generation of Personalized Recommendations in eCoaching 

      Chatterjee, Ayan (Doctoral dissertations at the University of Agder; no. 421, Doctoral thesis, 2023)
      Denne avhandlingen omhandler eCoaching for personlig livsstilsstøtte i sanntid ved bruk av informasjons- og kommunikasjonsteknologi. Utfordringen er å designe, utvikle og teknisk evaluere en prototyp av en intelligent ...
    • An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments 

      Hicheri, Rym; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2021)
      This letter presents a novel iterative positioning method for tracing the body segments of a person moving indoors using radio-frequency (RF) signals. The indoor space is equipped with a multiple-input multiple-output ...
    • Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks 

      Xiao, Xiang; Zeng, Fanzi; Hu, Zhenzhen; Lei, Jiao (Peer reviewed; Journal article, 2020)
      Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of ...
    • A Trajectory-Driven 3D Non-Stationary mm-Wave MIMO Channel Model for a Single Moving Point Scatterer 

      Avazov, Nurilla; Hicheri, Rym; Muaaz, Muhammad; Sanfilippo, Filippo; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2021)
      This paper proposes a new non-stationary three-dimensional (3D) channel model for a physical millimeter wave (mm-Wave) multiple-input multiple-output (MIMO) channel. This MIMO channel model is driven by the trajectory of ...
    • Supporting Inter-Agency Collaboration in Emergency Management: Recurring Challenges Relevant for CSCW 

      Munkvold, Bjørn Erik (Peer reviewed; Journal article, 2023)
      Emergency management requires effective collaboration between different agencies. This work implies several challenges due to a heterogeneous mix of actors with different procedures, practices, and support tools. Despite ...
    • Detection of Depression Using Weighted Spectral Graph Clustering With EEG Biomarkers 

      Garg, Shreeya; Shukla, Urvashi Prakash; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2023)
      The alarming annual growth in the number of people affected by Major Depressive Disorder (MDD) is a problem on a global scale. In the primary scrutiny of depression, Electroencephalography (EEG) is one of the analytical ...
    • Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control 

      Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2022)
      Intermittent renewable energy production and dynamic load must be balanced through appropriate control of integrated energy storage to account for the temporal discrepancy among power supply and demand. Intelligent control ...
    • Rethinking Learning Design in IT Education During a Pandemic 

      Pappas, Ilias; Giannakos, Michail (Peer reviewed; Journal article, 2021)
      Maintaining high-quality teaching and learning in the times of a pandemic poses a huge challenge to education systems. To scaffold adequate practices in our courses during the pandemic, more advanced, and fine-grained ...
    • Learning Automata-based Misinformation Mitigation via Hawkes Processes 

      Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (Peer reviewed; Journal article, 2020)
      Mitigating misinformation on social media is an unresolved challenge, particularly because of the complexity of information dissemination. To this end, Multivariate Hawkes Processes (MHP) have become a fundamental tool ...
    • Priority-based initial access for URLLC traffic in massive IoT networks: Schemes and performance analysis 

      Weerasinghe, Thilina Nuwan; Balapuwaduge, Indika A.M.; Li, Frank Young (Peer reviewed; Journal article, 2020)
      At a density of one million devices per square kilometer, the10’s of billions of devices, objects, and machines that form a massive Internet of things (mIoT) require ubiquitous connectivity. Among a massive number of IoT ...
    • Prosessledelse og digitalisering 

      Danilova, Kjersti Berg; Iden, Jon; Eikebrokk, Tom Roar (Peer reviewed; Journal article, 2023)
      I denne artikkelen utforsker vi om det er en gjensidig sammenheng mellom prosessledelse og digitalisering. Prinsipielt handler prosessledelse om å ha kontroll med virksomhetens prosesser og forbedre dem ved behov, mens ...
    • The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements 

      Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2022)
      Since its early beginning, the paradigm of Learning Automata (LA), has attracted much interest. Over the last decades, new concepts and various improvements have been introduced to increase the LA’s speed and accuracy, ...
    • Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks 

      Koduru, Hajarathaiah; Enduri, Murali Krishna; Dhuli, Sateeshkrishna; Anamalamudi, Satish; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2022)
      Identifying vital nodes is important in disease research, spreading rumors, viral marketing, and drug development. The vital nodes in any network are used to spread information as widely as possible. Centrality measures ...
    • The Gender Gap in Online Shopping in Turkey 

      Acilar, Ali (Peer reviewed; Journal article, 2022)
      The main aim of this study is to explore the gender gap in online shopping in the Turkish population. The gender gap in internet use and online shopping is investigated using the results of annual national surveys on ...
    • ERCP: Energy-Efficient and Reliable-Aware Clustering Protocol for Wireless Sensor Networks 

      El-Fouly, Fatma H.; Khedr, Ahmed Y.; Sharif, Md Haidar; Alreshidi, Eissa Jaber; Yadav, Kusum; Kusetogullari, Huseyin; Ramadan, Rabie A. (Peer reviewed; Journal article, 2022)
      Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data ...
    • Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment 

      Khan, Abdur Rehman; Yasin, Amanullah; Usman, Syed Muhammad; Hussain, Saddam; Khalid, Shehzad; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022)
      : The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. ...
    • Information diffusion model with homogeneous continuous time Markov chain on Indonesian Twitter users 

      Firdaniza, A; Ruchjana, Budi Nurani; Chaerani, Diah; Radianti, Jaziar (Peer reviewed; Journal article, 2022)
      In this paper, a homogeneous continuous time Markov chain (CTMC) is used to model information diffusion or dissemination, also to determine influencers on Twitter dynamically. The tweeting process can be modeled with a ...
    • Cyclostationary Random Number Sequences for the Tsetlin Machine 

      Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2022)
      The Tsetlin Machine (TM) constitutes an emerging machine learning algorithm that has shown competitive performance on several benchmarks. The underlying concept of the TM is propositional logic determined by a group of ...
    • Synthesis of Lower-Body Human Walking using Trigonometric Spline Method 

      Zhakatayev, Altay; Rogovchenko, Yuriy; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2022)
      In this work, preliminary results of human motion synthesis are presented. Specifically, a single stride motion (consisting of two steps) of a human lower-body model is obtained. The optimal control problem was reformulated ...