83 citations · 136 across the 33 of their papers we have counts for
3 papers · 1 filter
Log-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies
Teemu Härkönen, Erik M. Vartiainen, Lasse Lensu +2
We propose an approach utilizing gamma-distributed random variables, coupled with log-Gaussian modeling, to generate synthetic datasets suitable for training neural networks. This…
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…
A Statistical Framework and Analysis for Perfect Radar Pulse Compression
Neil K. Chada, Petteri Piiroinen, Lassi Roininen
Perfect radar pulse compression coding is a potential emerging field which aims at providing rigorous analysis and fundamental limit radar experiments. It is based on finding non-t…