E-LIB Suche - Ergebnisse für: Niemistö, Hannu

1

Application of reinforcement learning for energy consumptio..:

, In: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE),

Deng, Jifei ; Eklund, Miro ; Sierla, Seppo... - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

2

Using a Digital Twin as the Objective Function for Evolutio..:

Eklund, Miro ; Sierla, Seppo A. ; Niemistö, Hannu...
IEEE Access. 11 (2023) - p. 24185-24202 , 2023

Link: https://doi.org/10.1109/..

3

Deep reinforcement learning for fuel cost optimization in d..:

Deng, Jifei ; Eklund, Miro ; Sierla, Seppo...
Sustainable Cities and Society. 99 (2023) - p. 104955 , 2023

Link: https://doi.org/10.1016/..

4

Applying graph matching techniques to enhance reuse of plan..:

Rantala, Miia ; Niemistö, Hannu ; Karhela, Tommi..
Computers in Industry. 107 (2019) - p. 81-98 , 2019

Link: https://doi.org/10.1016/..

5

Determinants in Competition between Cross-Sector Alliances:

Fox, Stephen ; Kauttio, Janne ; Mubarak, Yusuf.
Administrative Sciences. 7 (2017) 3 - p. 31 , 2017

Link: https://doi.org/10.3390/..

6

Integrated transient simulation of a BFB boiler with CFD mo..:

Hovi, Ville ; Huttunen, Marko ; Karppinen, Ismo...
Energy Procedia. 120 (2017) - p. 508-515 , 2017

Link: https://doi.org/10.1016/..

7

Requirement verification in simulation-based automation tes..:

, In: 2016 IEEE 14th International Conference on Industrial Informatics (INDIN),

Siivola, Eero ; Sierla, Seppo ; Niemisto, Hannu.. - p. 740-743 , 2016

Link: https://doi.org/10.1109/..

8

Coupling dynamic simulation and interactive multiobjective ..:

Sindhya, Karthik ; Ojalehto, Vesa ; Savolainen, Jouni...
Expert Systems with Applications. 41 (2014) 5 - p. 2546-2558 , 2014

Link: https://doi.org/10.1016/..

9

Extensions of MSO and the monadic counting hierarchy:

Kontinen, Juha ; Niemistö, Hannu
Information and Computation. 209 (2011) 1 - p. 1-19 , 2011

Link: https://doi.org/10.1016/..

10

Zero-One Law and Definability of Linear Order:

Niemistö, Hannu
The Journal of Symbolic Logic. 74 (2009) 1 - p. 105-123 , 2009

Link: https://www.jstor.org/st..

11

Deep reinforcement learning for fuel cost optimization in d..:

Deng, Jifei ; Eklund, Miro ; Sierla, Seppo...
Sustainable cities and society, 2210-6707, 2023, 99,. , 2023

Link: http://urn.kb.se/resolve..

12

Application of reinforcement learning for energy consumptio..:

Deng, Jifei ; Eklund, Miro ; Sierla, Seppo...
International Symposium on Industrial Electronics. , 2023

Link: https://aaltodoc.aalto.f..

13

Using a digital twin as the objective function for evolutio..:

Eklund, Miro ; Sierla, Seppo ; Niemisto, Hannu...
IEEE Access. , 2023

Link: https://aaltodoc.aalto.f..

14

Deep reinforcement learning for fuel cost optimization in d..:

Deng, Jifei ; Eklund, Miro ; Sierla, Seppo...
Sustainable Cities and Society. , 2023

Link: https://aaltodoc.aalto.f..

15

Using a Digital Twin as the Objective Function for Evolutio..:

Eklund, Miro ; Sierla, Seppo A ; Niemistö, Hannu...
Eklund , M , Sierla , S A , Niemistö , H , Korvola , T , Savolainen , J & Karhela , T A 2023 , ' Using a Digital Twin as the Objective Function for Evolutionary Algorithm Applications in Large Scale Industrial Processes ' , IEEE Access , vol. 11 , no. 10005208 , pp. 24185-24202 . https://doi.org/10.1109/ACCESS.2023.3254896. , 2023

Link: https://research.abo.fi/..