Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Giorgio Jansen"'
Autor:
Giorgio Jansen, Tanda Qi, Vito Latora, Grigoris D. Amoutzias, Daniela Delneri, Stephen G. Oliver, Giuseppe Nicosia
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Construction of minimal metabolic networks (MMNs) contributes both to our understanding of the origins of metabolism and to the efficiency of biotechnological processes by preventing the diversion of flux away from product formation. We have
Externí odkaz:
https://doaj.org/article/8ab333ea3ee945a3b246aaf74a5e8aa1
Autor:
Jorge Lázaro, Giorgio Jansen, Yiheng Yang, Mario A. Torres-Acosta, Gary Lye, Stephen G. Oliver, Jorge Júlvez
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
The current production of a number of commodity chemicals relies on the exploitation of fossil fuels and hence has an irreversible impact on the environment. Biotechnological processes offer an attractive alternative by enabling the manufacturing of
Externí odkaz:
https://doaj.org/article/a55906f24ca849ee8a105a26ff13a689
Publikováno v:
Encyclopedia of Optimization ISBN: 9783030546212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::590d1ce84de4b313a73851da11a82ee7
https://hdl.handle.net/20.500.11769/559783
https://hdl.handle.net/20.500.11769/559783
Autor:
Matteo N. Amaradio, Giorgio Jansen, Varun Ojha, Jole Costanza, Giuseppe Di Fatta, Giuseppe Nicosia
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783031255984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9de3a88245ba018b9b4104ac6f89eb0e
https://doi.org/10.1007/978-3-031-25599-1_43
https://doi.org/10.1007/978-3-031-25599-1_43
Autor:
Emanuele La Malfa, Varun Kumar Ojha, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca, Giuseppe Nicosia
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95f656f32200ba360763cd90593d0661
https://doi.org/10.1007/978-3-030-64583-0_64
https://doi.org/10.1007/978-3-030-64583-0_64
Autor:
Varun Kumar Ojha, Giuseppe Nicosia, Giorgio Jansen, Antonino La Magna, Vittorio Romano, Andrea Patane
Funder: Università degli Studi di Catania
We propose a two-stage multi-objective optimization framework for full scheme solar cell structure design and characterization, cost minimization and quantum efficiency maximization. We evaluated struct
We propose a two-stage multi-objective optimization framework for full scheme solar cell structure design and characterization, cost minimization and quantum efficiency maximization. We evaluated struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6144b541f84f01af7409f9bf26e1f13
https://hdl.handle.net/20.500.11769/521686
https://hdl.handle.net/20.500.11769/521686
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616151
ICANN (2)
The 29th International Conference on Artificial Neural Networks (ICANN 2020)
ICANN (2)
The 29th International Conference on Artificial Neural Networks (ICANN 2020)
Neuroevolution has been used to train Deep Neural Networks on reinforcement learning problems. A few attempts have been made to extend it to address either multi-task or multi-objective optimization problems. This research work presents the Multi-Tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0834627765172782339c52e94be3227a
https://doi.org/10.1007/978-3-030-61616-8_11
https://doi.org/10.1007/978-3-030-61616-8_11
Autor:
Jole Costanza, Giovanni Carapezza, Giorgio Jansen, Giuseppe Nicosia, Andrea Patane, Piero Conca
Publikováno v:
Annals of Operations Research. 276:211-227
Ethanol is among the largest fermentation product used worldwide, accounting for more than $$90\%$$ of all biofuel produced in the last decade. However current production methods of ethanol are unable to meet the requirements of increasing global dem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce6893593f95b9bbae2e51e25edd9dc0
https://doi.org/10.1007/s10479-018-2865-4
https://doi.org/10.1007/s10479-018-2865-4
Autor:
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence