• Educational inequalities in cervical cancer screening participation in 24 European countries 

  Altova, Anna; Kulhanova, Ivana; Reisser, Katharina; Netrdová, Pavlína; Brož, Jan; Eikemo, Terje Andreas; Balaj, Mirza; Lustigová, Michala (Journal article; Peer reviewed, 2024)

  Objectives Cervical cancer screening (CCS) is an important public health measure for early detection of cervical cancer and prevents a large proportion of cervical cancer deaths. However, participation in CCS is relatively ...

• Modeling, Simulation, and Full-Scale Validation of an On-Board Hybrid AC/DC Power System 

  Hatlehol, Marius Ulla; Zadeh, Mehdi (Journal article; Peer reviewed, 2024)

  Modern propulsion systems rely on the capabilities of power electronics, linking fuel-driven prime movers to energy storage systems (ESSs) in hybrid topologies. Early-stage simulation models are essential to predict and ...

• Centrifuge modelling of sand and sawdust embankments on peat for sustainable infrastructure development 

  Long, M.; Tann, Loretta von der; Ritter, Stefan; Paniagua Lopez, Ana Priscilla; Dahl, M.; Konstantinou, M.; Cengiz, C. (Chapter; Conference object, 2024)

  Previously accepted methods to develop infrastructure across peatlands such as roads or railways typically excavated out the peat and substituted it with granular material. Such solutions, especially the alteration to ...

• Evaluating undrained shear strength and sensitivity in soft sensitive clay using piezocone and field vane tests 

  Di Buo, B.; Mayne, P. W.; Paniagua Lopez, Ana Priscilla; Agaiby, S. S. (Chapter; Conference object, 2024)

  Evaluating undrained shear strength in clayey soils, especially soft sensitive clays in Finland, is crucial for several geotechnical engineering applications. In-situ investigation methods, including field vane and piezocone ...

• On the resilience of online federated learning to model poisoning attacks through partial sharing 

  Lari, Ehsan; Chakravarthi Gogineni, Vinay; Arablouei, Reza; Werner, Stefan (Chapter; Conference object, 2024)

  We investigate the robustness of the recently introduced partialsharing online federated learning (PSO-Fed) algorithm against model-poisoning attacks. To this end, we analyze the performance of the PSO-Fed algorithm in the ...

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