Trepo

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  What We Do When We Do Security : A Comprehensive Analysis of Action and Non-Action with an Application to EU Counter-Terrorism 

  Eloranta, Elina
  Tampere University Dissertations - Tampereen yliopiston väitöskirjat : 1567 (Tampere University, 2026)
  Monografiaväitöskirja

  Tämä väitöskirja tutkii niitä strategioita, joilla valtiot tai valtiolliset organisaatiot pyrkivät tuottamaan turvallisuutta. Moni turvallisuustoimija väittää lähestymistapaansa kokonaisvaltaiseksi. Turvallisuushaasteisiin ...
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  Model-Based SMC Strategy for Speed Control with a sensorless Load-Torque SM Observer: Analysis and Experimental Validation Using an IM 

  Tavakoli Bina, Mohammad; Hemadi, Mehran; Hafezi, Hossein (2026)
  article

  This article investigates speed control of AC motors under load-torque uncertainty by employing the model-based sliding-mode control (MBSMC). Since using sensors reduces the reliability of the control and increasing the ...
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  Tax Compliance in the Rental Housing Market: Evidence from a Field Experiment 

  Eerola, Essi; Kosonen, Tuomas; Kotakorpi, Kaisa; Lyytikäinen, Teemu (05 / 2025)
  article

  We study rental income tax compliance using novel third-party information and a large-scale randomized field experiment. The third-party information combines register data on the ownership and occupancy of apartments. The ...
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  Digital Twins: A Computational Realization of the Scientific Method in Dynamical Systems 

  Emmert-Streib, Frank (06 / 2026)
  article

  The scientific method is widely acknowledged as an authoritative framework that provides guiding principles for empirical research across disciplines. Despite this central role, it is rarely examined explicitly as a ...
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  Deep Learning-Driven Black-Box Doherty Power Amplifier With Pixelated Output Combiner and Extended Efficiency Range 

  Zhou, Han; Chang, Haojie; Widén, David (29.06.2026)
  article

  This article presents a deep learning-driven inverse design methodology for Doherty power amplifiers (PA) with multi-port pixelated output combiner networks. A deep convolutional neural network (CNN) is developed and trained ...

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