Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Adel Torkaman Rahmani"'
Publikováno v:
Natural Language Engineering. 29:693-719
Text-to-scene conversion systems map natural language text to formal representations required for visual scenes. The difficulty involved in this mapping is one of the most critical challenges for developing these systems. The current study mapped Per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18fc21e1d05332a6e554f6dbd7e8ee70
https://doi.org/10.1017/s1351324922000390
https://doi.org/10.1017/s1351324922000390
Autor:
Alice C. McHardy, Adel Torkaman Rahmani, Meisam Ahmadi, Mohammad Reza Jahed-Motlagh, Ehsaneddin Asgari
Venom is a mixture of substances produced by a venomous organism aiming at preying, defending, or intraspecific competing resulting in certain unwanted conditions for the target organism. Venom sequences are a highly divergent class of proteins makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34cd3921dacccdd7c548d8c93d4e7356
https://doi.org/10.1101/2020.09.29.319046
https://doi.org/10.1101/2020.09.29.319046
Autor:
Mohammad Mahdi Zolfagharzadeh, Adel Torkaman Rahmani, Meisam Ahmadi, Peyman Shariatpanahi, M.R.J. Motlagh
Publikováno v:
Futures. 81:27-39
Many foresight researchers believe that quantitative simulations have a very restricted contribution in futures studies due to their simplicity and lack of creativity. While qualitative methods, taking advantage of the human cognitive system, have a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01df24f7ed2328883b606295395c190f
https://doi.org/10.1016/j.futures.2016.03.010
https://doi.org/10.1016/j.futures.2016.03.010
Publikováno v:
Journal of Computational Science. 13:49-67
In this paper, we propose a discrete-time susceptible–exposed–infected–recovered–susceptible (SEIRS) epidemic model of malware propagation in scale-free networks (SFNs) with considering software diversity. We study dynamical behavior of the S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cffa9c1379ec49d8083d5a991b7d71f
https://doi.org/10.1016/j.jocs.2016.01.002
https://doi.org/10.1016/j.jocs.2016.01.002
Publikováno v:
International Journal of Communication Systems. 28:2255-2274
In this paper, we propose a new rumor-spreading model, which is a variant of the susceptible-exposed-infectious-removed epidemic model. We consider the influences of the diversity of configurations as a defense strategy to diminish the damage brought
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb1aa86059422d698ec2baf8f6ad63a1
https://doi.org/10.1002/dac.3016
https://doi.org/10.1002/dac.3016
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 24, Iss 3, Pp 621-633 (2014)
We propose a new linkage learning genetic algorithm called the Factor Graph based Genetic Algorithm (FGGA). In the FGGA, a factor graph is used to encode the underlying dependencies between variables of the problem. In order to learn the factor graph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::226aeee27497a0135bb673a268a32f79
https://doaj.org/article/f6ae9892c9e74d10a606c976aeb93cc3
https://doaj.org/article/f6ae9892c9e74d10a606c976aeb93cc3
Autor:
B. Hoda Helmi, Adel Torkaman Rahmani
Publikováno v:
AI Communications. 27:263-274
Linkage learning in evolutionary algorithms is identifying the structure of the dependencies between variables of a problem in order to find the optimum solution of the problem. It is a necessary process for optimizing the hard problems that can not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c6eb3098052ff6f542867c710ddf666
https://doi.org/10.3233/aic-140594
https://doi.org/10.3233/aic-140594
Autor:
Amin Nikanjam, Adel Torkaman Rahmani
Publikováno v:
Journal of Computer Science and Technology. 27:1077-1090
Bayesian optimization algorithm (BOA) is one of the successful and widely used estimation of distribution algorithms (EDAs) which have been employed to solve different optimization problems. In EDAs, a model is learned from the selected population th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42ec700cd56b7f35d66e25ffbafe3cf2
https://doi.org/10.1007/s11390-012-1285-1
https://doi.org/10.1007/s11390-012-1285-1
Publikováno v:
AI Communications. 24:213-231
Detecting multivariate interactions between the variables of a problem is a challenge in traditional genetic algorithms (GAs). This issue has been addressed in the literature as the linkage learning problem. It is widely acknowledged that the success
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab762f9b4e0bb97ff89ea3078ef55f12
https://doi.org/10.3233/aic-2011-0498
https://doi.org/10.3233/aic-2011-0498
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 20:679-694
Graph transformation is a general visual modeling language which is suitable for stating the dynamic semantics of the designed models formally. We present a highly understandable yet precise approach to formally define the behavioral semantics of UML
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6441ccbaa3d36cd9de898e6c30089bc
https://doi.org/10.1142/s0218194010004918
https://doi.org/10.1142/s0218194010004918