Forskningsgrupper
Forskningsprosjekter
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AI-Mind
Prosjektet har som mål å redusere utfordringene ved demens med å utvikle nye diagnostiserende verktøy og forbedre effektiviteten i helsesystemet.
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Teknologi og kunnskapsoverføring basert på samarbeid mellom Tsjekkia og Norge
Dette samarbeidsprosjektet mellom OsloMet og universitetet Hradec Králové i Tsjekkia vil utveksle erfaringer med teknologi- og kunnskapsoverføring.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Srinivasan, Sabarathinam; Kumarasamy, Suresh;
Andreadakis, Zacharias
;
Lind, Pedro
(2023).
Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey.
Energies.
Vol. 16.
https://doi.org/10.3390/en16145383
Glover, Tom Eivind
;
Lind, Pedro
;
Yazidi, Anis
; Osipov, Evgeny;
Nichele, Stefano
(2023).
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark.
42 s.
Complex Systems.
Vol. 32.
https://doi.org/10.25088/ComplexSystems.32.3.309
Rego Lencastre e Silva, Pedro
; Gjersdal, Marit Øye; Gorjão, Leonardo Rydin;
Yazidi, Anis
;
Lind, Pedro
(2023).
Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?.
Physica D : Non-linear phenomena.
Vol. 453.
https://doi.org/10.1016/j.physd.2023.133831
Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine;
Lind, Pedro
;
Haugerud, Hårek
; Krejcar, Ondrej; Bouallegue, Ridha;
Yazidi, Anis
(2023).
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach.
19 s.
Sensors.
Vol. 23.
https://doi.org/10.3390/s23083877
Zouganeli, Evi
;
Yazidi, Anis
;
Borges Moreno e Mello, Gustavo
;
Lind, Pedro
(2023).
Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers.
ISBN: 9783031170294.
130 s.
Springer Nature.
https://link.springer.com/book/9783031170317
Riechers, Keno; Rydin Gorjão, Leonardo; Hassanibesheli, Forough;
Lind, Pedro
; Witthaut, Dirk; Boers, Niklas
(2023).
Stable stadial and interstadial states of the last glacial's climate identified in a combined stable water isotope and dust record from Greenland.
14 s.
Earth System Dynamics (ESD).
Vol. 14.
https://doi.org/10.5194/esd-14-593-2023
Chatzis, Christos; Pfeffer, Max;
Lind, Pedro
; Acar, Evrim
(2023).
A Time-Aware Tensor Decomposition for Tracking Evolving Patterns.
IEEE Xplore Digital Library.
https://doi.org/10.1109/MLSP55844.2023.10285943
Rydin Gorjão, Leonardo; Witthaut, Dirk;
Lind, Pedro
(2023).
jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets.
21 s.
Journal of Statistical Software.
Vol. 105.
https://doi.org/10.18637/jss.v105.i04
Dumo, Glare Eugenio;
Lind, Pedro
;
Nichele, Stefano
(2022).
An HCI Experiment to Explore Interactive Artificial Life Art.
Stephanidis, S; Antona, M; Ntoa, S (Red.).
HCI International 2022 Posters. s. 204-211.
Springer.
https://doi.org/doi.org/10.1007/978-3-031-06391-6_
Sequeira, Joao; Louca, Jorge; Mendes, Antonio;
Lind, Pedro
(2022).
Using the Hurst Exponent and Entropy Measures to Predict Effective Transmissibility in Empirical Series of Malaria Incidence.
27 s.
Applied Sciences.
Vol. 12.
https://doi.org/10.3390/app12010496
