Now showing items 121-140 of 710

    • 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 ...
    • Rethinking the improvisation of digital health technology : A niche construction perspective 

      Magutshwa, Sindisiwe (Peer reviewed; Journal article, 2022)
      The COVID-19 pandemic has sent shock waves through healthcare organisations and catalysed an impromptu digital shift, creating a demand for telemedicine and other digital health technologies. Under such conditions, ...
    • Metaverses and Business Transformation 

      Polyviou, Ariana; Pappas, Ilias (Peer reviewed; Journal article, 2022)
      Metaverses refer to virtual worlds which enable the interaction between users and simulate people, places and things of the physical world. The wider use of metaverses can disrupt how we interact and bring a plethora of ...
    • Estimation of Wind Turbine Performance Degradation with Deep Neural Networks 

      Mathew, Manuel Sathyajith; Kandukuri, Surya Teja; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2022)
      In this paper, we estimate the age-related performance degradation of a wind turbine working under Norwegian environment, based on a deep neural network model. Ten years of high-resolution operational data from a 2 MW wind ...
    • The Use of Cross-Platform Frameworks for Google Play Store Apps 

      Biørn-Hansen, Andreas; Grønli, Tor-Morten; Majchrzak, Tim Alexander; Kaindl, Hermann; Gheorghita, Ghinea (Peer reviewed; Journal article, 2022)
      In this paper, we describe the harnessing and analyses of a large sample (n = 661705) of Android apps and associated metadata available on the Google Play Store. The analyses and scrutiny are in the context of cross-platform ...
    • Post-Quantum Secure Identity-Based Encryption Scheme using Random Integer Lattices for IoT-enabled AI Applications 

      Dharminder, Dharminder; Das, Ashok Kumar; Saha, Sourav; Bera, Basudeb; Vasilakos, Athanasios (Peer reviewed; Journal article, 2022)
      Identity-based encryption is an important cryptographic system that is employed to ensure confidentiality of a message in communication. This article presents a provably secure identity based encryption based on post quantum ...
    • Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs 

      Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2022)
      Extracting causal graph structures from multivariate time series, termed topology identification, is a fundamental problem in network science with several important applications. Topology identification is a challenging ...
    • Applying Spring Security Framework with KeyCloak-Based OAuth2 to Protect Microservice Architecture APIs: A Case Study 

      Chatterjee, Ayan; Prinz, Andreas (Peer reviewed; Journal article, 2022)
      : In this study, we implemented an integrated security solution with Spring Security and Keycloak open-access platform (SSK) to secure data collection and exchange over microservice architecture application programming ...
    • An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications 

      Shah, Syed Mohsin Ali; Usman, Syed Muhammad; Khalid, Shehzad; Rehman, Ikram Ur; Anwar, Aamir; Hussain, Saddam; Sajid Ullah, Syed; Elmannai, Hela; Algarni, Abeer D.; Manzoor, Waleed (Peer reviewed; Journal article, 2022)
      Traditional advertising techniques seek to govern the consumer’s opinion toward a product, which may not reflect their actual behavior at the time of purchase. It is probable that advertisers misjudge consumer behavior ...
    • Models, systems, and descriptions - A cross-disciplinary reflection on models 

      Prinz, Andreas; Engebretsen, Martin; Gjøsæter, Terje; Møller-Pedersen, Birger; Xanthopoulou, Themis Dimitra (Peer reviewed; Journal article, 2023)
      There are many different notions of models in different areas of science that are often not aligned, making it difficult to discuss them across disciplines. In this study, we look at the differences between physical models ...
    • Updating Thermal Imaging Dataset of Hand Gestures with Unique Labels 

      Yeduri, Sreenivasa Reddy; Breland, Daniel Skomedal; Pandey, Om Jee; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2022)
      An update to the previously published low resolution thermal imaging dataset is presented in this paper. The new dataset contains high resolution thermal images corresponding to various hand gestures captured using the ...
    • Community Segmentation and Inclusive Social Media Listening 

      Herrera, Lucia Castro; Gjøsæter, Terje (Peer reviewed; Journal article, 2022)
      Social media analytics provide a generalized picture of situational awareness from the conversations happening among communities present in social media channels that are that are, or risk being affected by crises. The ...
    • Balancing Profit, Risk, and Sustainability for Portfolio Management 

      Maree, Charl; Omlin, Christian Walter Peter (Chapter; Peer reviewed, 2022)
      Stock portfolio optimization is the process of continuous reallocation of funds to a selection of stocks. This is a particularly well-suited problem for reinforcement learning, as daily rewards are compounding and objective ...
    • An Exploration of Semi-supervised Text Classification 

      Lien, Henrik; Biermann, Daniel; Palumbo, Fabrizio; Goodwin, Morten (Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)
      Good performance in supervised text classification is usually obtained with the use of large amounts of labeled training data. However, obtaining labeled data is often expensive and time-consuming. To overcome these ...
    • Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles 

      Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri (Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)
      Providing full autonomy to Unmanned Surface Vehicles (USV) is a challenging goal to achieve. Autonomous docking is a subtask that is particularly difficult. The vessel has to distinguish between obstacles and the dock, and ...
    • On abstraction in the OMG hierarchy: systems, models, and descriptions 

      Prinz, Andreas; Xanthopoulou, Themis Dimitra; Gjøsæter, Terje; Møller-Pedersen, Birger (Chapter; Peer reviewed, 2022)
      The Model-Driven Architecture (MDA) uses a metadata hierarchy with several layers that are placed on top of each other. The traditional view is that the layers provide abstractions related to models in languages defined ...