Recent Submissions

  • 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 ...
  • A study on permanent deformation and fatigue damage interaction in asphalt concrete 

    Alamnie, Mequanent Mulugeta; Taddesse, Ephrem; Hoff, Inge (Peer reviewed; Journal article, 2023)
    The dominant load-induced damages, permanent deformation (PD) and fatigue cracking (F), are traditionally predicted separately by taking temperature as a variable of departure. This paper presents an experimental study of ...
  • 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 ...
  • Reliability Enhancement of Fast Charging Station under Electric Vehicle Supply Equipment Failures and Repairs 

    Konara, Konara Mudiyanselage Sandun Y.; Kolhe, Mohan Lal; Ulltveit-Moe, Nils; Balapuwaduge, Indika A.M. (Peer reviewed; Journal article, 2023)
    This work focuses on the enhancement of the charging reliability of both scheduled (SEVs) and opportunistic (UEVs) electric vehicle (EV) users in an EV fast charging station (FCS). The proposed charging coordination ...
  • A review on peak shaving techniques for smart grids 

    Rizvi, Syed Sabir Hussain; Chaturvedi, Krishna Teerth; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2023)
    Peak shaving techniques have become increasingly important for managing peak demand and improving the reliability, efficiency, and resilience of modern power systems. In this review paper, we examine different peak shaving ...
  • 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 ...
  • Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape 

    Mabokela, Koena Ronny; Celik, Turgay; Raborife, Mpho (Peer reviewed; Journal article, 2022)
    Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English). ...
  • A Current Spectrum-Based Algorithm for Fault Detection of Electrical Machines Using Low-Power Data Acquisition Devices 

    Asad, Bilal; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Huynh, Khang (Peer reviewed; Journal article, 2023)
    An algorithm to improve the resolution of the frequency spectrum by detecting the number of complete cycles, removing any fractional components of the signal, signal discontinuities, and interpolating the signal for fault ...
  • 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 ...
  • Extracellular enzyme activity in the coastal upwelling system off Peru: A mesocosm experiment 

    Spilling, Kristian; Piiparinen, Jonna; Achterberg, Eric P.; Arístegui, Javier; Bach, Lennart T.; Camarena-Gómez, Maria T.; Von Der Esch, Elisabeth; Fischer, Martin A.; Gómez-Letona, Markel; Hernández-Hernández, Nauzet; Meyer, Judith; Schmitz, Ruth A.; Riebesell, Ulf (Peer reviewed; Journal article, 2023)
    The Peruvian upwelling system is a highly productive ecosystem with a large oxygen minimum zone (OMZ) close to the surface. In this work, we carried out a mesocosm experiment off Callao, Peru, with the addition of water ...
  • 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 ...
  • Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization 

    Andrade, José Amendola Netto; Dayal, Aveen; Cenkeramaddi, Linga Reddy; Jha, Ajit (Peer reviewed; Journal article, 2023)
    Object localization plays a crucial role in computational perception, enabling applications ranging from surveillance to autonomous navigation. This can be leveraged by fusing data from cameras and LiDARs (Light Detection ...
  • Post-glacial colonization of the Fennoscandian coast by a plant parasitic insect with an unusual life history 

    Solbreck, Christer; Cassel-Lundhagen, Anna; Laugen, Ane Timenes; Kaňuch, Peter (Peer reviewed; Journal article, 2023)
    Species that exhibit very peculiar ecological traits combined with limited dispersal ability pose a challenge to our understanding of ecological and evolutionary mechanisms. This is especially true when they have managed ...
  • Hybrid General Regression NN Model for Efficient Operation of Centralized TEG System under Non-Uniform Thermal Gradients 

    Khan, Noman Mujeeb; Ahmed, Abbas; Haider, Syed Kamran; Zafar, Muhammad Hamza; Mansoor, Majad; Akhtar, Naureen (Peer reviewed; Journal article, 2023)
    The global energy demand, along with the proportionate share of renewable energy, is increasing rapidly. Renewables such as thermoelectric generators (TEG) systems have lower power ratings but a highly durable and ...

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