Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Azita Bahrami"'
CONTENTS: SESSION: LEARNING METHODS, E-LEARNING + EDUCATIONAL TOOLS, AND RELATED ISSUES SESSION: E-GOVERNMENT AND ISSUES OF INTEREST TO GOVERNMENT,ELECTED OFFICIALS, AND RELEVANT AGENCIES SESSION: E-BUSINESS, E-COMMERCE, E-BANKING, ENTERPRISE INFORMA
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
A multi-recurrent neural network (RNN) hybrid system made up of three RNNs is introduced to predict the stock prices for 10 different companies (five selected from the Dow Jones Industrial Average and five from the Standard and Poor’s 500.) The dai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1951cae97c2a64e57411eaef6f185fa9
https://doi.org/10.1109/csci51800.2020.00071
https://doi.org/10.1109/csci51800.2020.00071
Publikováno v:
The Journal of family practice. 68(6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c5160c050afd0daafc6ca2ba2a1933d7
https://pubmed.ncbi.nlm.nih.gov/31381630
https://pubmed.ncbi.nlm.nih.gov/31381630
Autor:
Ray R. Hashemi, Alexandria K. Ragsdale, Azita Bahrami, Jeffrey Young, Travis R. Robbins, Tracy Langkilde, Aaron W. Schrey
Publikováno v:
2018 International Conference on Computational Science and Computational Intelligence (CSCI).
The Eastern Fence Lizards (specie S1) are exposed to Fire Ants (specie S2) in some areas of their habitat (space B1) and not exposed in some other areas (space B2.) The population of S1 in B1 have responded phenotypically in patterns that are both ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df81c3aad6897ea25b373d013cc3be04
https://doi.org/10.1109/csci46756.2018.00262
https://doi.org/10.1109/csci46756.2018.00262
Autor:
Hamid R.Arabnia, Azita Bahrami, Victor A.Clincy, Leonidas deligiannidis, George Jandieri, Ashu M.G.Solo, Fernando G Tinetti
Conference on Frontiers in Education Computer Science and Computer Engineering
Empirical migration models deliver migration patterns using collected data in multiobserve-record sessions of the migratory species’ behavior. Such modeling is time-consuming, costly, and is not fit for investigation of habitat migration. As an alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca89398a4aa5645ad8298e8c1b44edb4
https://doi.org/10.1016/b978-0-12-804203-8.00011-0
https://doi.org/10.1016/b978-0-12-804203-8.00011-0
Publikováno v:
International Journal of Intelligent Information Technologies. 5:17-32
A large sample (initially 33,000 cases representing a ten percent trial) of university alumni giving records for a large public university in the southwestern United States is analyzed by Formal Concept Analysis. This likely represents the initial at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58d6f2b3b58e35b5501ffbb9b92fd4aa
https://doi.org/10.4018/jiit.2009040102
https://doi.org/10.4018/jiit.2009040102
Autor:
Fatemeh Mirazizi, Azita Bahrami, Mehdi Bakavoli, Hossein Shahbani Zahiri, Raymond L. Legge, Kamahldin Haghbeen
Publikováno v:
Journal of enzyme inhibition and medicinal chemistry. 31(6)
Peroxidases are ubiquitous enzymes that play an important role in living organisms. Current spectrophotometrically based peroxidase assay methods are based on the production of chromophoric substances at the end of the enzymatic reaction. The ambigui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::468499394283e08ab63cbf589d572f04
https://pubmed.ncbi.nlm.nih.gov/26526616
https://pubmed.ncbi.nlm.nih.gov/26526616
Region growing is a well-known concept in image processing that, among other things, effectively contributes to mining of pictorial data. The goal of this research effort is to (1) investigate region growing in nonpictorial data and (2) determine the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca33ddba08399aaec9d6fc71c6e57de
https://doi.org/10.1016/b978-0-12-802508-6.00015-6
https://doi.org/10.1016/b978-0-12-802508-6.00015-6
New research by international contributors on Frontiers in Education: Computer Science and Computer Engineering