83 citations · 136 across the 33 of their papers we have counts for
5 papers · 1 filter
Computational design of personalized drugs via robust optimization under uncertainty
Rabia Altunay, Jarkko Suuronen, Eero Immonen +2
Effective disease treatment often requires precise control of the release of the active pharmaceutical ingredient (API). In this work, we present a computational inverse design app…
Optimising Kernel-based Multivariate Statistical Process Control
Zina-Sabrina Duma, Victoria Jorry, Tuomas Sihvonen +2
Multivariate Statistical Process Control (MSPC) is a framework for monitoring and diagnosing complex processes by analysing the relationships between multiple process variables sim…
Denture reinforcement via topology optimization
Rabia Altunay, Kalevi Vesterinen, Pasi Alander +3
We present a computational design method that optimizes the reinforcement of dentures and increases the stiffness of dentures. Our approach optimally places reinforcement in the de…
Geometry parameter estimation for sparse X-ray log imaging
Angelina Senchukova, Jarkko Suuronen, Jere Heikkinen +1
We consider geometry parameter estimation in industrial sawmill fan-beam X-ray tomography. In such industrial settings, scanners do not always allow identification of the location…
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods
Jarkko Suuronen, Muhammad Emzir, Sari Lasanen +2
X-ray tomography has applications in various industrial fields such as sawmill industry, oil and gas industry, chemical engineering, and geotechnical engineering. In this article,…