Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mustafa Yavas"'
Publikováno v:
Elektronika ir Elektrotechnika, Vol 28, Iss 4, Pp 65-73 (2022)
In this study, Turkish and English tweets through Twitter Application Program Interface (API) between 1-31 January 2021 are analyzed with respect to Covid-19. The collected tweets are preprocessed, labeled with the Vader Sentiment library, and then a
Externí odkaz:
https://doaj.org/article/60d790a98a12474ea96e59a88e19b987
Publikováno v:
Isletme ve Iktisat Calismalari Dergisi, Vol 2, Iss 4, Pp 110-118 (2014)
Karar verme, ihtiyaçlara yönelik bilinçli veya bilinçsiz bir şekilde yapılan seçimlerdir. Karar verme olgusu, zaman içerisinde değişmiş ve bilimsel karar verme tekniklerinin ortaya çıkmasına sebep olmuştur. Çok kriterli karar verme te
Externí odkaz:
https://doaj.org/article/a99b23ccc7594676bfc05029392e4997
Publikováno v:
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG).
Today, energy efficiency for a buildings is ensured by a systematic reduction in demand for heating and cooling. The energy consumption in the buildings such as universities, schools, private schools, hospitals, and public institutions are increasing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1936f5aa78873f15dfcc5972bac4d0
https://doi.org/10.1109/sgcf.2019.8782356
https://doi.org/10.1109/sgcf.2019.8782356
Autor:
Mustafa Yavas, Gönenç Yücel
Publikováno v:
ECMS
The purpose of this study is to analyze the impact of homophily on diffusion over social networks. An agent-based simulation model is developed to serve as the experimental ground for this analysis. Diffusion dynamics of a nonsticky innovation is inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::160b9b84144de1ccbfababbbeceafca3
https://doi.org/10.1177/0894439313512464
https://doi.org/10.1177/0894439313512464
Publikováno v:
Neurocomputing. 103:121-131
This paper proposes behavior learning and generation models for simple and complex behaviors of robots using unsupervised learning methods. While the simple behaviors are modeled by simple-behavior learning model (SBLM), complex behaviors are modeled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25245e4eee3089ea0212aef327e9f0a7
https://doi.org/10.1016/j.neucom.2012.09.013
https://doi.org/10.1016/j.neucom.2012.09.013
Autor:
Mustafa Yavas, Ferda Nur Alpaslan
Publikováno v:
Neurocomputing. 77:71-81
This paper introduces a new model for robot behavior categorization. Correlation based adaptive resonance theory (CobART) networks are integrated hierarchically in order to develop an adequate categorization, and to elicit various behaviors performed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4b3444165684c6f37b92ae977905d8e
https://doi.org/10.1016/j.neucom.2011.08.022
https://doi.org/10.1016/j.neucom.2011.08.022
Autor:
Ferda Nur Alpaslan, Mustafa Yavas
Publikováno v:
2009 17th Mediterranean Conference on Control and Automation.
This paper introduces a new type of ART 2 network that performs satisfactory categorization for a domain where the patterns are constructed from consecutive analog inputs. The main contribution relies on the correlation analysis methods used for cate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285bce13535b6af1e8df4f4b8f2638b4
https://doi.org/10.1109/med.2009.5164632
https://doi.org/10.1109/med.2009.5164632
Autor:
Ferda Nur Alpaslan, Mustafa Yavas
Publikováno v:
2009 17th Mediterranean Conference on Control and Automation.
This paper presents a new method of categorizing robot behavior, which is based on a variation of Correlation Based Adaptive Resonance Theory (CobART) learning. CobART is a type of ART 2 network and its main contribution is the usage of correlation a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb550ea957ef38883fcadee93efe728
https://doi.org/10.1109/med.2009.5164629
https://doi.org/10.1109/med.2009.5164629
Publikováno v:
Social Problems; Nov2022, Vol. 69 Issue 4, p1188-1192, 5p