Viser treff 41-60 av 244

    • Detection and localization of melanoma skin cancer in histopathological whole slide images 

      Kanwal, Neel; Amundsen, Roger; Hardardottir, Helga; Tomasetti, Luca; Undersrud, Erling Sandøy; Janssen, Emiel; Engan, Kjersti (European Signal Processing Conference;, Chapter; Conference object, 2023)
      If melanoma is diagnosed and treated in its early stages can increase the survival rate. A projected increase in skin cancer incidents and a shortage of dermatopathologists have emphasized the need for computational pathology ...
    • An XAI approach for COVID-19 detection using transfer learning with X-ray images 

      Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Guler, Ozgur (Peer reviewed; Journal article, 2023-04)
      The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ...
    • A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework 

      Walskaar, Ivar; Tran, Minh Christian; Catak, Ferhat Özgur (Peer reviewed; Journal article, 2023-10)
      The digitization of healthcare data has presented a pressing need to address privacy concerns within the realm of machine learning for healthcare institutions. One promising solution is federated learning, which enables ...
    • 5G-MEC Testbeds for V2X Applications 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Peer reviewed; Journal article, 2023-05)
      Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low ...
    • Structural identifiability of biomolecular controller motifs with and without flow measurements as model output 

      Haus, Eivind Sandve; Drengstig, Tormod; Thorsen, Kristian (Peer reviewed; Journal article, 2023-08)
      Controller motifs are simple biomolecular reaction networks with negative feedback. They can explain how regulatory function is achieved and are often used as building blocks in mathematical models of biological systems. ...
    • Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction 

      Svane, Jakob; Wiktorski, Tomasz; Trygve Christian, Eftestøl; Stein, Ørn (Peer reviewed; Journal article, 2023-09)
      Heart rate variability (HRV) is the variation in time between successive heartbeats and can be used as an indirect measure of autonomic nervous system (ANS) activity. During physical exercise, movement of the measuring ...
    • Interval Type 2 Fuzzy Adaptive Motion Drive Algorithm Design 

      Ali, Syed M.; Guo, Yanling; Rizvi, Syed Tahir Hussain; Amin, Roohul; Yasin, Awais (Peer reviewed; Journal article, 2023-07)
      Motion drive algorithms are a set of filters designed to simulate realistic motion and are an integral part of contemporary vehicle simulators. This paper presents the design of a novel intelligent interval type 2 fuzzy ...
    • Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support 

      Gavade, Anil B.; Nerli, Rajendra; Kanwal, Neel; Gavade, Priyanka A.; Pol, Shridhar Sunilkumar; Rizvi, Syed Tahir Hussain (Peer reviewed; Journal article, 2023)
      Prostate cancer (PCa) is a significant health concern for men worldwide, where early detection and effective diagnosis can be crucial for successful treatment. Multiparametric magnetic resonance imaging (mpMRI) has evolved ...
    • Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition 

      Ahmad, Tasweer; Rizvi, Syed Tahir Hussain; Kanwal, Neel (Peer reviewed; Journal article, 2023-09)
      Over the past few years, skeleton-based action recognition has attracted great success because the skeleton data is immune to illumination variation, view-point variation, background clutter, scaling, and camera motion. ...
    • An Extensible Framework for Implementing and Validating Byzantine Fault-tolerant Protocols 

      Gogada, Hanish; Jehl, Leander; Meling, Hein; Olsen, John Ingve (Chapter, 2023-06)
      HotStuff is a Byzantine fault-tolerant state machine replication protocol that incurs linear communication costs to achieve consensus. This linear scalability promoted the protocol to be adopted as the consensus mechanism ...
    • Cost-effective Data Upkeep in Decentralized Storage Systems 

      Nygaard, Racin Wilhelm; Meling, Hein; Olsen, John Ingve (Conference object; Journal article, 2023)
      Decentralized storage systems split files into chunks and distribute the chunks across a network of peers. Each peer may only store a few chunks per file. To later reconstruct a file, all its chunks must be downloaded. ...
    • Trustworthy journalism through AI 

      Opdahl, Andreas Lothe; Tessem, Bjørnar; Dang Nguyen, Duc Tien; Motta, Enrico; Setty, Vinay; Throndsen, Eivind; Tverberg, Are; Trattner, Christoph (Peer reviewed; Journal article, 2023-07)
      Quality journalism has become more important than ever due to the need for quality and trustworthy media outlets that can provide accurate information to the public and help to address and counterbalance the wide and rapid ...
    • Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network 

      Amin, Muhammad Saad; Rizvi, Syed Tahir Hussain; Mazzei, Alessandro; Anselma, Luca (Peer reviewed; Journal article, 2023)
      Sign language recognition is one of the most challenging tasks of today’s era. Most of the researchers working in this domain have focused on different types of implementations for sign recognition. These implementations ...
    • Towards Posture and Gait Evaluation through Wearable-Based Biofeedback Technologies 

      Cesari, Paola; Cristani, Matteo; Demrozi, Florenc; Pascucci, Francesco; Picotti, Pietro Maria; Pravadelli, Graziano; Tomazzoli, Claudio; Turetta, Cristian; Workneh, Tewabe Chekole; Zenti, Luca (Peer reviewed; Journal article, 2023)
      In medicine and sport science, postural evaluation is an essential part of gait and posture correction. There are various instruments for quantifying the postural system’s efficiency and determining postural stability which ...
    • 3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI 

      Fernandez Quilez, Alvaro; Andersen, Christoffer Gabrielsen; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Oppedal, Ketil (Peer reviewed; Journal article, 2023)
      Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural ...
    • CrossTransUnet: A new computationally inexpensive tumor segmentation model for brain MRI 

      Anaya-Isaza, Andres; Mera Jiménez, Leonel; Fernandez Quilez, Alvaro (Peer reviewed; Journal article, 2023)
      Brain tumors are usually fatal diseases with low life expectancies due to the organs they affect, even if the tumors are benign. Diagnosis and treatment of these tumors are challenging tasks, even for experienced physicians ...
    • A Privacy-Preserving and Transparent Certification System for Digital Credentials 

      Queiroz Saramago, Rodrigo; Meling, Hein; Jehl, Leander Nikolaus (Peer reviewed; Journal article, 2023)
      A certification system is responsible for issuing digital credentials, which attest claims about a subject, e.g., an academic diploma. Such credentials are valuable for individuals and society, and widespread adoption ...
    • AWESOME: an auction and witness enhanced SLA model for decentralized cloud marketplaces 

      Shi, Zeshun; Ivankovic, Veno; Farshidi, Siamak; Surbiryala, Jayachander; Zhou, Huan; Zhao, Zhiming (Peer reviewed; Journal article, 2022)
      In recent decades, the world has witnessed cloud computing as an essential technology that changes the traditional application Development and Operation (DevOps) lifecycle. However, current cloud software DevOps and Service ...
    • Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021 

      Balog, Krisztian; Mirza, Paramita; Skjæveland, Martin G; Wang, Zhilin (Journal article, 2022)
      The term personal knowledge graph (PKG) has been broadly used to refer to structured representation of information about a given user, primarily in the form of entities that are personally related to the user. The potential ...
    • Report on the 44th European Conference on Information Retrieval (ECIR 2022): The First Major Hybrid IR Conference 

      Balog, Krisztian; Nørvåg, Kjetil; Setty, Vinay (Journal article, 2022)
      The 44th European Conference on Information Retrieval (ECIR’22) was held in Stavanger, Norway. It represents a landmark, not only for being the northernmost ECIR ever, but also for being the first major IR conference in a ...