Blar i TKD - Institutt for informasjonsteknologi på tidsskrift "Sensors"

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    • Big data workflows: Locality-aware orchestration using software containers 

      Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru (Sensors;Volume 21 / Issue 24, Peer reviewed; Journal article, 2021-12-08)
      The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ...

    • Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment 

      Aoueileyine, Mohamed Ould-Elhassen; Allani, Ramzi; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      In wireless communication, small cells are low-powered cellular base stations that can be used to enhance the coverage and capacity of wireless networks in areas where traditional cell towers may not be practical or ...

    • Deep Learning for Classifying Physical Activities from Accelerometer Data 

      Nunavath, Vimala; Johansen, Sahand; Johannessen, Tommy Sandtorv; Jiao, Lei; Hansen, Bjørge Hermann; Stølevik, Sveinung Berntsen; Goodwin, Morten (Sensors;Volume 21 / Issue 16, Peer reviewed; Journal article, 2021-08-18)
      Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening ...

    • Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources 

      Eide, Siri Sofie; Riegler, Michael; Hammer, Hugo Lewi; Bremnes, John Bjørnar (Sensors;Volume 22 / Issue 7, Peer reviewed; Journal article, 2022-04-06)
      Many data related problems involve handling multiple data streams of different types at the same time. These problems are both complex and challenging, and researchers often end up using only one modality or combining them ...

    • GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos 

      Monakhov, Vladimir; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2023)
      The interest in video anomaly detection systems that can detect different types of anomalies, such as violent behaviours in surveillance videos, has gained traction in recent years. The current approaches employ deep ...

    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...

    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...

    • RF energy harvesting and information transmission based on NOMA for wireless powered IoT relay systems 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (Sensors;Volume 18, Issue 10, Journal article; Journal article; Peer reviewed, 2018-09-27)
      Amidst the rapid development of the fifth generation (5G) networks, Internet of Things (IoT) is considered as one of the most important part of 5G next generation networks as it can support massive object communications. ...

    • Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines 

      Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (Peer reviewed; Journal article, 2023)