Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohammadreza Tavassoli"'
A novel hybrid feature selection based on ReliefF and binary dragonfly for high dimensional datasets
Publikováno v:
2019 9th International Conference on Computer and Knowledge Engineering (ICCKE).
High dimensionality is a common challenge in large datasets. Combination of the filter and wrapper methods is used to select the appropriate set of features in these datasets. The hybrid method is desirable, which uses the advantages of both the meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c3baeeb78bbd43f5b934692e4df0e95
https://doi.org/10.1109/iccke48569.2019.8965106
https://doi.org/10.1109/iccke48569.2019.8965106
Publikováno v:
Multi-Agent Systems ISBN: 9783319171296
EUMAS
EUMAS
The present work proposes a multi-robot exploration method for conjunct environments, based on one of the state-of-the-art algorithms. In many exploration missions, after the subject is found, it is beneficial if the discoverer robot returns back to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1bfa16215b2af501d2ca3a2d2e6070f
https://doi.org/10.1007/978-3-319-17130-2_8
https://doi.org/10.1007/978-3-319-17130-2_8
Autor:
Tamiz, Mohsen, Mohammadreza Tavassoli, Bararian, Ebrahim, Elahe Sabaghi, Gharghabi, Shaghayegh, Ameneh Sheikhjafari, Massomeh Jannatifar, Shangari, Taher Abbas, Ismaeil Mehrabi, Falahi, Mohsen, Ghasemloo, Shervin, Aghababa, Reyhaneh Pahlevan, Faraz Sham-Shirdar, Aghaeizadeh, Farzad, Amirhosein Nateghi, Faraz Khonsari, Heydari, Mohammad Hosein, Dr. Surosh Sadeghnejad, Dr. Saeed Shiry Ghidary, Prof. Mohsen Bahrami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::634c734812315f384c42161cffc6537a