Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Akram Beigi"'
Autor:
Akram Beigi, Fariba Fatahi
Publikováno v:
Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, Vol 12, Iss 45, Pp 71-93 (2022)
Managing energy consumption in smart buildings has become an increasingly important challenge. Efficient energy management can have a positive impact on both micro and macroeconomics. Moreover, it is essential to ensure that the comfort of smart buil
Externí odkaz:
https://doaj.org/article/1572d3a85f294e15852b783e0cce4861
Publikováno v:
International Journal of Information Technology & Decision Making. 20:553-596
Recommender Systems ([Formula: see text]) are known in the E-Commerce ([Formula: see text]) field. They are expected to suggest the accurate goods/musics/films/items to the consumers/clients/people/users. Recent Hybrid [Formula: see text]s ([Formula:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e1e373fa70fdb21fe1a6c0e6b46977b
https://doi.org/10.1142/s021962202150005x
https://doi.org/10.1142/s021962202150005x
Akademický článek
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Autor:
Nasser Mozayani, Akram Beigi
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 30:2713-2726
Recently multi agent systems are used to solve complex problems. In these systems agents can cooperate when a problem is difficult or impossible to solve for an individual agent. Via learning, the agents attempt to maximize some of their utilities. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2da56486bb713c0cb1e7985f0703e640
https://doi.org/10.3233/ifs-152024
https://doi.org/10.3233/ifs-152024
Autor:
Akram Beigi, Nasser Mozayani
Publikováno v:
Computational and Mathematical Organization Theory. 22:161-183
A multi agent organization model defines the structure, roles, interaction ways and coordination styles of a multi agent system. Multi agent organizations may constrain the communication between included members. Organizations' communication is the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2727df1119aca5004e1a1bdfd237b136
https://doi.org/10.1007/s10588-015-9201-1
https://doi.org/10.1007/s10588-015-9201-1
Autor:
Akram Beigi, Nasser Mozayani
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 27:641-653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cc0e0cf2ccee79de370c07369c11e18
https://doi.org/10.3233/ifs-131086
https://doi.org/10.3233/ifs-131086
Autor:
Nasser Mozayani, Akram Beigi
Publikováno v:
7'th International Symposium on Telecommunications (IST'2014).
In multi agent systems, agents interact with each other through a dialogue protocol to inform each other the relevant facts in order to reach the common goals. In a dialogue the protocol defines the possible replies for a presented speech act and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e09676619c582624e7e3d0a842659f28
https://doi.org/10.1109/istel.2014.7000758
https://doi.org/10.1109/istel.2014.7000758
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783642202667
ICANNGA (2)
ICANNGA (2)
N-grams are the basic features commonly used in sequence-based malicious code detection methods in computer virology research. The empirical results from previous works suggest that, while short length n-grams are easier to extract, the characteristi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b04e7dd1b27314b50209861efe85c21
https://doi.org/10.1007/978-3-642-20267-4_11
https://doi.org/10.1007/978-3-642-20267-4_11
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783642202667
ICANNGA (2)
ICANNGA (2)
In reinforcement learning exploration phase, it is necessary to introduce a process of trial and error to discover better rewards obtained from environment. To this end, one usually uses the uniform pseudorandom number generator in exploration phase.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69e22db0cf16d0d94ac1d63df56b2dae
https://doi.org/10.1007/978-3-642-20267-4_26
https://doi.org/10.1007/978-3-642-20267-4_26
Autor:
Akram Beigi, Hamid Parvin
Publikováno v:
Advances in Soft Computing ISBN: 9783642253294
MICAI (2)
MICAI (2)
Ensemble-based learning is a very promising option to reach a robust partition. Due to covering the faults of each other, the classifiers existing in the ensemble can do the classification task jointly more reliable than each of them. Generating a se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f319219831dea77cdcccac8b5fce5be
https://doi.org/10.1007/978-3-642-25330-0_14
https://doi.org/10.1007/978-3-642-25330-0_14