A conceptual, holistic framework to overcome limitations and constraints of design in laser based powder bed fusion of metals: Case novel separation and purification units | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Piili Heidi Muu painopiste LUT School of Energy Systems
Artificial Inventiveness: Towards AI supported Model-Driven Systematic Conceptual Design | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Kaliteevskii Vasilii Muu painopiste
The Role of Radio-Frequency Identification in the Sustainable Digital Transformation of the Supply Chain | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Voipio Ville Muu painopiste LUT School of Engineering Sciences
Open data in distribution network asset management | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Räisänen Otto Muu painopiste LUT School of Energy Systems
Bayesian synthetic likelihood for stochastic models with applications in mathematical finance | 2023 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Maraia Ramona, Springer Sebastian, Härkönen Teemu, Simon Martin, Haario Heikki Muu painopiste LUT School of Engineering Sciences
Log-Gaussian gamma processes for training Bayesian neural networks in Raman and CARS spectroscopies | 2024 Tyyppi A1 Journal article (refereed), original research Tekijä(t) Härkönen Teemu, Vartiainen Erik M., Lensu Lasse, Moores Matthew T., Roininen Lassi Muu painopiste LUT School of Engineering Sciences
Impact of information system capabilities on business value creation: Aspects of IT-producing and IT-consuming companies | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Sore Sariseelia Muu painopiste
Improving the design of cellular networks beyond 5G for smart grids | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Carrillo Melgarejo Dick Muu painopiste LUT School of Energy Systems
Framework for digitalizing different industrial sectors via the Internet of Things | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Ullah Mehar Muu painopiste LUT School of Energy Systems
Bayesian likelihoods for intractable data | 2023 Tyyppi G5 Doctoral dissertation (article) Tekijä(t) Maraia Ramona Muu painopiste LUT School of Engineering Sciences
