A Reinforcement Learning framework for Wake Steering of Wind Turbines von Lye, Kjetil Olsen, Tabib, Mandar V, Johannessen, Kjetil André

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The Norwegian public's ability to assess treatment claims: results of a cross-sectional study of critical health literacy [version 2; peer review: 1 approved, 1 approved with reser... von Dahlgren, Astrid, Furuseth-Olsen, Kjetil, Rose, Christopher James, Oxman, Andrew David

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Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm von Fuchs, Franz Georg, Lye, Kjetil Olsen, Møll Nilsen, Halvor, Stasik, Alexander Johannes, Sartor, Giorgio

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A constant pressure dust explosion experiment von Skjold, Trygve, Olsen, Kjetil L., Castellanos, Diana

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Experimental and numerical investigation of constant volume dust and gas explosions in a 3.6-m flame acceleration tube von Skjold, Trygve, Castellanos, Diana, Olsen, Kjetil L., Eckhoff, Rolf K.

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Sensitivity analysis of parameters for carbon sequestration: Symbolic regression models based on open porous media reservoir simulators predictions von Praks, Pavel, Rasmussen, Atgeirr, Lye, Kjetil Olsen, Martinovič, Jan, Praksová, Renata, Watson, Francesca, Brkić, Dejan

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Lessons learned from the commercial exploitation of marine battery energy storage systems von He, Wei, Valøen, Lars O., Olsen, Kjetil V., Kjeka, Kåre M., Fredriksen, Bjørn M., Petiteau, Mathieu, Touat, Amine, Såtendal, Helge, Howie, Aaron, Howey, David, Kandepu, Rambabu, Hammershøj, Carsten F.

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Pseudo-Hamiltonian neural networks for learning partial differential equations von Eidnes, Sølve, Lye, Kjetil Olsen

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Neuroendocrine control of appetite in Atlantic halibut (Hippoglossus hippoglossus): Changes during metamorphosis and effects of feeding von Gomes, Ana S., Jordal, Ann-Elise Olderbakk, Olsen, Kjetil, Harboe, Torstein, Power, Deborah M., Rønnestad, Ivar

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Explosion mitigation using aqueous solutions of water and flame inhibitors von Kees van Wingerden, Morten Holme, Kjetil Olsen, Dirk Roosendans, Pol Hoorelbeke

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Pseudo-Hamiltonian neural networks for learning partial differential equations von Eidnes, Sølve, Lye, Kjetil Olsen

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Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation von Fjordholm, Ulrik Skre, Lye, Kjetil Olsen

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A Reinforcement Learning framework for Wake Steering of Wind Turbines von Lye, Kjetil Olsen, Tabib, Mandar Vasudeo, Johannessen, Kjetil Andre

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Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation von Fjordholm, Ulrik Skre, Lye, Kjetil Olsen

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Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks von Lye, Kjetil Olsen, Mishra, Siddhartha, Ray, Deep, Chandrasekhar, Praveen

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Improving public purchaser attitudes towards public procurement of innovations von Mwesiumo, Deodat, Glavee-Geo, Richard, Olsen, Kjetil Magnus, Svenning, Geir Arne

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Constrained mixers for the quantum approximate optimization algorithm von Fuchs, Franz G, Kjetil Olsen Lye, Nilsen, Halvor Møll, Stasik, Alexander J, Sartor, Giorgio

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Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm von Fuchs, Franz Georg, Lye, Kjetil Olsen, Nilsen, Halvor Møll, Stasik, Alexander Johannes, Sartor, Giorgio

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Implementing public procurement of innovations in an organization: lessons from Norway von Mwesiumo, Deodat, Olsen, Kjetil Magnus, Svenning, Geir Arne, Glavee-Geo, Richard

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Measuring ability to assess claims about treatment effects: the development of the ‘Claim Evaluation Tools’ von Austvoll-Dahlgren, Astrid, Semakula, Daniel, Nsangi, Allen, Oxman, Andrew David, Chalmers, Iain, Rosenbaum, Sarah, Guttersrud, Øystein

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