Department of Information and Communication Technology: Nye registreringer

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    • Improving Energy Efficiency and Response Time of an Offshore Winch Drive with Digital Displacement Motors 

      Farsakoglou, Thomas; Pedersen, Henrik C.; Ebbesen, Morten Kjeld; Andersen, Torben O. (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 

      Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar; Isufi, Elvin (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 

      Zhakatayev, Altay; Avazov, Nurilla; Rogovchenko, Yuriy; Pätzold, Matthias Uwe (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 

      Sharif, Md Haidar; Lei, Jiao; Omlin, Christian Walter Peter (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 ...

    • Active Network Management with Decision Transformer 

      Sevland, Ruben; Svensli Åsvestad, Vegard (Master thesis, 2024)
      This thesis analyzes the implementation of a DT model for ANM in power grids, focusing on active network management with intermittent renewable energy sources. Considering the increasing implementation of renewable sources ...

    • Active network management with decision transformer 

      Åsvestad, Vegard; Sevland, Ruben (Master thesis, 2024)
      This thesis analyzes the implementation of a DT model for ANM in power grids, focusing on active network management with intermittent renewable energy sources. Considering the increasing implementation of renewable sources ...

    • Biomolecular and quantum algorithms for the dominating set problem in arbitrary networks 

      Wong, Renata; Chang, Weng-Long; Chung, Wen-Yu; Vasilakos, Athanasios (Peer reviewed; Journal article, 2023)
      A dominating set of a graph G=(V,E) is a subset U of its vertices V, such that any vertex of G is either in U, or has a neighbor in U. The dominating-set problem is to find a minimum dominating set in G. Dominating sets ...

    • Towards intelligent and trustworthy task assignments for 5G-enabled industrial communication systems 

      Huang, Mingfeng; Liu, Anfeng; Xiong, Neal N.; Vasilakos, Athanasios (Peer reviewed; Journal article, 2023)
      With the unprecedented prevalence of IIoT and 5G technology, various applications supported by industrial communication systems have generated exponentially increased processing tasks, which makes task assignment inefficient ...

    • Performance Analysis of Spectrum Sharing Radar in Multipath Environment 

      Gunnery, Srinath; Bethi, Pardhasaradhi; Mahipathi, Ashoka Chakravarthi; H, Prashantha Kumar; Pathipati, Srihari; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2023)
      Radar based sensing and communication systems sharing a common spectrum have become a potential research problem in recent years due to spectrum scarcity. The spectrum sharing radar (SSR) is a new technology that uses the ...

    • Autonomous UAV Path Planning Using Modified PSO for UAV-Assisted Wireless Networks 

      Sonny, Amala; Yeduri, Sreenivasa Reddy; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2023)
      Recently, unmanned aerial vehicles (UAVs) have attained considerable attention for providing reliable and cost-effective communication due to the flexibility of deployment and line of sight (LoS) propagation. Efficient UAV ...

    • Generalized multi-cavity laser self-mixing interferometry based on scattering theory 

      Jha, Ajit; Cenkeramaddi, Linga Reddy; Royo, Santiago (Peer reviewed; Journal article, 2023)
      We present a generalized mathematical model and algorithm for the multi-cavity self-mixing phenomenon based on scattering theory. Scattering theory, which is extensively used for travelling wave is exploited to demonstrate ...

    • Deep Learning for Medical Image Cryptography: A Comprehensive Review 

      Kusum, Lata; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2023)
      Electronic health records (EHRs) security is a critical challenge in the implementation and administration of Internet of Medical Things (IoMT) systems within the healthcare sector’s heterogeneous environment. As digital ...

    • An Efficient Optimized DenseNet Model for Aspect-Based Multi-Label Classification 

      Ayub, Nasir; Tayyaba, NN; Hussain, Saddam; Sajid Ullah, Syed; Iqbal, Jawaid (Peer reviewed; Journal article, 2023)
      Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered ...

    • Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital 

      Berge, Geir Thore; Granmo, Ole- Christoffer; Tveit, Tor Oddbjørn; Munkvold, Bjørn Erik; Ruthjersen, Anna Linda; Sharma, Jivitesh (Journal article, 2023)
      Background Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important ...

    • DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network 

      Sharma, Geetanjali; Joshi, Amit Mahesh; Gupta, Richa; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2023)
      A novel wearable consumer electronics device for detecting Major Depressive Disorder (MDD) has been developed using deep learning techniques for smart healthcare. Accurate identification of MDD through individual interviews ...

    • Hardware Trojan Mitigation Technique in Network-on-Chip (NoC) 

      Hussain, Musharraf; Baloach, Naveed Khan; Ali, Gauhar; ElAffendi, Mohammed; Dhaou, Imed Ben; Sajid Ullah, Syed; Uddin, Mueen (Peer reviewed; Journal article, 2023)
      Due to globalization in the semiconductor industry, malevolent modifications made in the hardware circuitry, known as hardware Trojans (HTs), have rendered the security of the chip very critical. Over the years, many methods ...

    • Blockchain-Based Decentralized Architecture for Software Version Control 

      Hammad, Muhammad; Iqbal, Jawaid; Hassan, Ch Anwar ul; Hussain, Saddam; Sajid Ullah, Syed; Uddin, Mueen; Malik, Urooj Ali; Abdelhaq, Maha; Alsaqour, Raed (Peer reviewed; Journal article, 2023)
      Version control is an important component of configuration management, and most enterprise-level software uses different tools and technologies to manage the software version control such as CVS, Subversion, or Perforce. ...

    • Experimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experiment 

      Mehmood, Arshad; Akhtar, Kareem; Noor, Sahar; Zahir, M. Zeeshan; Ullah, Barkat; Khan, Razaullah; Salah, Bashir; Sajid Ullah, Syed (Peer reviewed; Journal article, 2023)
      The purpose of this study is to examine the impact of various process parameters, such as cold work, aging temperature, and aging time, on the yield strength, ultimate tensile strength (UTS), and elongation of AA6061 tubes. ...

    • Impact of moisture content, closing speed, and pressurizing speed on the performance of medium density fiberboard (MDF) 

      Gul, Waheed; Ahmad, Naveed; Mohammad, Shoaib; Salah, Bashir; Sajid Ullah, Syed; Khurram, Muhammad; Khan, Razaullah (Peer reviewed; Journal article, 2023)
      Thepurpose of this research is to investigate the impact of moisture content, closing speed, and pressurizing speed of hot press on the density, uniformity of density distribution, and properties of Medium Density Fiberboard ...

    • An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology 

      Chatterjee, Ayan; Prinz, Andreas; Riegler, Michael Alexander; Meena, Yogesh Kumar (Peer reviewed; Journal article, 2023)
      Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a challenging ...