Blar i SINTEF Open på forfatter "Jha, Debesh"

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    • COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics 

      Rauniyar, Ashish; Hagos, Desta Haileselassie; Jha, Debesh; Håkegård, Jan Erik (Peer reviewed; Journal article, 2022)
      Due to the current COVID-19 virus, which has already been declared a pandemic by the World Health Organization (WHO), we are witnessing the greatest pandemic of the decade. Millions of people are being infected, resulting ...

    • Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions 

      Rauniyar, Ashish; Hagos, Desta Haileselassie; Jha, Debesh; Håkegård, Jan Erik; Bagci, Ulas; Rawat, Danda B.; Vlassov, Vladimir (Peer reviewed; Journal article, 2023)
      With the advent of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) algorithms, the landscape of data-driven medical applications has emerged as a promising avenue ...

    • HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features 

      Garcia-Ceja, Enrique; Thambawita, Vajira L B; Hicks, Steven; Jha, Debesh; Jakobsen, Petter; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2021)
      In this paper, we present HTAD: A Home Tasks Activities Dataset. The dataset contains wrist-accelerometer and audio data from people performing at-home tasks such as sweeping, brushing teeth, washing hands, or watching TV. ...

    • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy 

      Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (Peer reviewed; Journal article, 2020)
      Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to ...

    • Video Analytics in Elite Soccer: A Distributed Computing Perspective 

      Jha, Debesh; Rauniyar, Ashish; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål; Bagci, Ulas (Peer reviewed; Journal article, 2022)
      Ubiquitous sensors and Internet of Things (IoT)technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post-game. New methods, ...