- 2024
- Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson:
Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures. CoRR abs/2405.05640 (2024) - 2023
- Julian Martinsson Bonde, Michael Kokkolaras, Petter Andersson, Massimo Panarotto, Ola Isaksson:
A similarity-assisted multi-fidelity approach to conceptual design space exploration. Comput. Ind. 151: 103957 (2023) - Martin Andersson, Tung Thanh Vu, Pål K. Frenger, Erik G. Larsson:
Joint Optimization of Switching Point and Power Control in Dynamic TDD Cell-Free Massive MIMO. ACSSC 2023: 988-992 - Andersson A. Da Silva, Ricardo M. A. Silva, Amanda S. Xavier, Thiago D. Bispo, Geraldo R. Mateus, Mauricio G. C. Resende:
cudaBRKGA-CNN: An Approach for Optimizing Convolutional Neural Network Architectures. CEC 2023: 1-8 - Martin Andersson, Andreas Lidström, Gustav Lindmark:
Indoor 5G Positioning using Multipath Measurements. PLANS 2023: 1092-1098 - Martin Andersson, Benny Avelin:
Exploring Singularities in point clouds with the graph Laplacian: An explicit approach. CoRR abs/2301.00201 (2023) - Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - 2022
- Mariam Andersson, Marco Pizzolato, Hans Martin Kjer, Katrine Forum Skodborg, Henrik Lundell, Tim B. Dyrby:
Does powder averaging remove dispersion bias in diffusion MRI diameter estimates within real 3D axonal architectures? NeuroImage 248: 118718 (2022) - Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Neves Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugala, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn:
VEDLIoT: Very Efficient Deep Learning in IoT. DATE 2022: 963-968 - Georgios Koutsopoulos, Anna Andersson, Janis Stirna, Martin Henkel:
Applying and Evaluating the KYKLOS Method. PoEM 2022: 118-133 - Viktor Sköld Gustafsson, Tobias Andersson Granberg, Sofie Pilemalm, Martin Waldemarsson:
Managing Natural Hazards in Sweden - Needs for Improved Information and Decision Support Systems. ISCRAM 2022: 376-384 - Yoann Pelet, Ittoop Vergheese Puthoor, Natarajan Venkatachalam, Sören Wengerowsky, Martin Loncaric, Sebastian Philipp Neumann, Bo Liu, Zeljko Samec, Mario Stipcevic, Rupert Ursin, Erika Andersson, John G. Rarity, Djeylan Aktas, Siddarth Koduru Joshi:
Unconditionally secure digital signatures implemented in an 8-user quantum network. CoRR abs/2202.04641 (2022) - Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn:
VEDLIoT: Very Efficient Deep Learning in IoT. CoRR abs/2207.00675 (2022) - 2021
- Hooman Ziaei-Halimejani, Nima Nazemzadeh, Reza Zarghami, Krist V. Gernaey, Martin P. Andersson, Seyed Soheil Mansouri, Navid Mostoufi:
Fault diagnosis of chemical processes based on joint recurrence quantification analysis. Comput. Chem. Eng. 155: 107549 (2021) - Narges Ahani, Tommy Andersson, Alessandro Martinello, Alexander Teytelboym, Andrew C. Trapp:
Placement Optimization in Refugee Resettlement. Oper. Res. 69(5): 1468-1486 (2021) - Jefferson G. Martins, Luiz E. S. Oliveira, Daniel Weingaertner, Andersson Barison, Gerlon A. R. Oliveira, Luciano M. Lião:
A database for automatic classification of gender in Araucaria angustifolia plants. Soft Comput. 25(7): 5503-5517 (2021) - Jennifer Andersson, Kenneth Bodin, Daniel M. Lindmark, Martin Servin, Erik Wallin:
Reinforcement Learning Control of a Forestry Crane Manipulator. IROS 2021: 2121-2126 - Erik A. M. Borglund, E. Martina Granholm, Ulf Andersson:
Virtual Emergency Operation Centre: How to manage a crisis from an EOC when you need to work from home. ISCRAM 2021: 238-245 - Ruben Martins, Michael McCall, Dionisio de Niz, Amit Vasudevan, Björn Andersson, Mark Klein, John P. Lehoczky, Hyoseung Kim:
Formal Verification of a Mixed-Trust Synchronization Protocol. RTNS 2021: 57-67 - Jennifer Andersson, Kenneth Bodin, Daniel M. Lindmark, Martin Servin, Erik Wallin:
Reinforcement Learning Control of a Forestry Crane Manipulator. CoRR abs/2103.02315 (2021) - 2020
- Rasmus Fjordbak Nielsen, Nima Nazemzadeh, Laura Wind Sillesen, Martin P. Andersson, Krist V. Gernaey, Seyed Soheil Mansouri:
Hybrid machine learning assisted modelling framework for particle processes. Comput. Chem. Eng. 140: 106916 (2020) - Markus Borg, Joakim Wernberg, Thomas Olsson, Ulrik Franke, Martin Andersson:
Illuminating a Blind Spot in Digitalization - Software Development in Sweden's Private and Public Sector. ICSE (Workshops) 2020: 299-302 - Siddharth Dadhich, Fredrik Sandin, Ulf Bodin, Ulf Andersson, Torbjörn Martinsson:
Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning. IJCNN 2020: 1-9 - Tobias Andersson Granberg, Carl-Oscar Jonson, Erik Prytz, Krisjanis Steins, Martin Waldemarsson:
Sensor Requirements for Logistics Analysis of Emergency Incident Sites. ISCRAM 2020: 952-960 - Amos H. C. Ng, Jacob Bernedixen, Martin Andersson, Sunith Bandaru, Thomas Lezama:
Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach. WSC 2020: 3045-3056 - Markus Borg, Joakim Wernberg, Thomas Olsson, Ulrik Franke, Martin Andersson:
Illuminating a Blind Spot in Digitalization - Software Development in Sweden's Private and Public Sector. CoRR abs/2005.12607 (2020) - 2019
- Mayken Espinoza-Andaluz, Ayrton Moyón, Martin Andersson:
A comparative study between D2Q9 and D2Q5 lattice Boltzmann scheme for mass transport phenomena in porous media. Comput. Math. Appl. 78(9): 2886-2896 (2019) - Nina Karalija, Goran Papenberg, Anders Wåhlin, Jarkko Johansson, Micael Andersson, Jan Axelsson, Katrine Riklund, Martin Lövdén, Ulman Lindenberger, Lars Bäckman, Lars Nyberg:
C957T-mediated Variation in Ligand Affinity Affects the Association between 11C-raclopride Binding Potential and Cognition. J. Cogn. Neurosci. 31(2) (2019) - David Sollberger, Raphael Garcia, Domenico Giardini, Matthias Grott, Thomas Haag, Troy L. Hudson, Philippe Lognonné, Jan ten Pierick, William Pike, Tilman Spohn, Simon C. Stähler, Cedric Schmelzbach, Peter Zweifel, Fredrik Andersson, Johan O. A. Robertsson, Sharon Kedar, William B. Banerdt, Nienke Brinkman, John Clinton, Martin van Driel:
Sparse Reconstruction of Aliased Seismic Signals Recorded During the Insight Mars Mission. CAMSAP 2019: 376-380