Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ezeddin Al Hakim"'
Autor:
Joanna Hård, Ezeddin Al Hakim, Marie Kindblom, Åsa K. Björklund, Bengt Sennblad, Ilke Demirci, Marta Paterlini, Pedro Reu, Erik Borgström, Patrik L. Ståhl, Jakob Michaelsson, Jeff E. Mold, Jonas Frisén
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-18 (2019)
Abstract Accurate variant calling and genotyping represent major limiting factors for downstream applications of single-cell genomics. Here, we report Conbase for the identification of somatic mutations in single-cell DNA sequencing data. Conbase lev
Externí odkaz:
https://doaj.org/article/d7256999290e4f278690007945966f0b
6G will move mobile networks towards increasing levels of complexity. To deal with this complexity, optimization of network parameters is key to ensure high performance and timely adaptivity to dynamic network environments. The optimization of the an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a416183de1e7b9cc02ac15a1c371e83
Publikováno v:
PIMRC
Safe interaction with the environment is one of the most challenging aspects of Reinforcement Learning (RL) when applied to real-world problems. This is particularly important when unsafe actions have a high or irreversible negative impact on the env
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39338ada9cb3db02d8d746919f58bdfb
Publikováno v:
WCNC
Remote Electrical Tilt (RET) optimization is an efficient method for adjusting the vertical tilt angle of Base Stations (BSs) antennas in order to optimize Key Performance Indicators (KPIs) of the network. Reinforcement Learning (RL) provides a power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95564e9b0a680e62e9913c59a42523cb
Autor:
Carlo Fischione, Ezeddin Al Hakim, Henrik Eriksson, Johan Haraldson, Yeongwoo Kim, Jose Mairton B. da Silva
Publikováno v:
ICC
In the resource management of wireless networks, Federated Learning has been used to predict handovers. However, non-independent and identically distributed data degrade the accuracy performance of such predictions. To overcome the problem, Federated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::010e293f93d827f313180490645b4488
Autor:
Patrik L. Ståhl, Åsa K. Björklund, Joanna Hård, Jeff E. Mold, Jonas Frisén, Ilke Demirci, Bengt Sennblad, Jakob Michaëlsson, Ezeddin Al Hakim, Marta Paterlini, Erik Borgström, Marie Kindblom, Pedro Réu
Publikováno v:
Genome Biology
Genome Biology, Vol 20, Iss 1, Pp 1-18 (2019)
Genome Biology, Vol 20, Iss 1, Pp 1-18 (2019)
Accurate variant calling and genotyping represent major limiting factors for downstream applications of single-cell genomics. Here, we report Conbase for the identification of somatic mutations in single-cell DNA sequencing data. Conbase leverages ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfa919d7297d629441f7f3462241d305
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-382517
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-382517