Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Ramin Hasibi"'
1
Akademický článek
Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality
Autor: Ramin Hasibi, Tom Michoel, Diego A. Oyarzún
Publikováno v: npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Genome-scale metabolic models are powerful tools for understanding cellular physiology. Flux balance analysis (FBA), in particular, is an optimization-based approach widely employed for predicting metabolic phenotypes. In model microbes such
Externí odkaz: https://doaj.org/article/8117a334857643c1a6d17d29a644d536
Zobrazit plný text záznamu
2
Akademický článek
A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks
Autor: Ramin Hasibi, Tom Michoel
Publikováno v: BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background Molecular interaction networks summarize complex biological processes as graphs, whose structure is informative of biological function at multiple scales. Simultaneously, omics technologies measure the variation or activity of gen
Externí odkaz: https://doaj.org/article/7a27a3aca6b44fb7b1678488a60af35d
Zobrazit plný text záznamu
4
Reconstructing floods from large-scale atmospheric variables with neural networks in high latitude climates
Autor: Jenny Sjåstad Hagen, Ramin Hasibi, Etienne Leblois, Deborah Lawrence, Asgeir Sorteberg
Climate change is expected to alter the occurrence of floods in high latitude countries; evidence of earlier spring floods and more frequent rainfall-driven floods has already been detected in Norway. While the state-of-the-art hydrological climate-i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3cd506c706acbbe3a0af7005419058a
https://doi.org/10.5194/egusphere-egu23-1143
Zobrazit plný text záznamu
5
A general deep reinforcement learning hyperheuristic framework for solving combinatorial optimization problems
Autor: Jakob Kallestad, Ramin Hasibi, Ahmad Hemmati, Kenneth Sörensen
Publikováno v: European Journal of Operational Research
European journal of operational research
Many problem-specific heuristic frameworks have been developed to solve combinatorial optimization problems, but these frameworks do not generalize well to other problem domains. Metaheuristic frameworks aim to be more generalizable compared to tradi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6db1b44313921a63390a37d14dce1516
https://hdl.handle.net/11250/3068956
Zobrazit plný text záznamu
6
A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks
Autor: Tom Michoel, Ramin Hasibi
Publikováno v: BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
BMC Bioinformatics
BackgroundMolecular interaction networks summarize complex biological processes as graphs, whose structure is informative of biological function at multiple scales. Simultaneously, omics technologies measure the variation or activity of genes, protei
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f098c4881a7aff3786d084f9bbbee18
https://doaj.org/article/7a27a3aca6b44fb7b1678488a60af35d
Zobrazit plný text záznamu
8
Power Allocation in Dual Connectivity Networks Based on Actor-Critic Deep Reinforcement Learning
Autor: Mehdi Rasti, Ramin Hasibi, Matin Shokri, Elham Moein
Publikováno v: WiOpt
Dual Connectivity (DC) has been proposed by Third Generation Partnership Project (3GPP), in order to address the small coverage areas and outage of users and improve the mobility robustness and rate of users in Heterogeneous Networks (HetNets). In th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::779b3f993a392533afb9c509a4147a15
https://doi.org/10.23919/wiopt47501.2019.9144094
Zobrazit plný text záznamu
9
Collaborative Real-Time Content Download Application for Wireless Device-to-Device Communications
Autor: Mohammad Hossein Manshaei, Walid Saad, Mehdi Naderi Soorki, Amirreza Hajrasouliha, Amirhosein Shafieyoun, Ramin Hasibi, Hossein Saidi
Publikováno v: GLOBECOM
In this paper, a novel self-punishment based scheduling algorithm for a cooperative real- time content download application is designed. In the proposed protocol, selfish mobile devices autonomously form cooperative groups. For each formed group, the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::325252278513817768efc81922aa012e
https://doi.org/10.1109/glocom.2017.8254122
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje