Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Arash Negahdari Kia"'
Autor:
Furxhi Irini, Arash Negahdari Kia, Darren Shannon, Tim Jannusch, Finbarr Murphy, Barry Sheehan
Publikováno v:
Array, Vol 11, Iss , Pp 100075- (2021)
Background: From February 2020, both urban and rural Ireland witnessed the rapid proliferation of the COVID-19 disease throughout its counties. During this period, the national COVID-19 responses included stay-at-home directives issued by the state,
Externí odkaz:
https://doaj.org/article/97763387590e4740a2dfadb2a9b1a73d
Publikováno v:
Journal of Risk Research
Cyber-attacks pose a growing threat to global commerce that is increasingly reliant on digital technology to conduct business. Traditional risk assessment and underwriting practices face serious sh...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c174d2dd566907c0014c0de0d8d3eb5
https://doi.org/10.1080/13669877.2021.1900337
https://doi.org/10.1080/13669877.2021.1900337
Autor:
Tim Jannusch, Arash Negahdari Kia, Furxhi Irini, Barry Sheehan, Darren Shannon, Finbarr Murphy
Publikováno v:
Array, Vol 11, Iss, Pp 100075-(2021)
Array
Array
Background From February 2020, both urban and rural Ireland witnessed the rapid proliferation of the COVID-19 disease throughout its counties. During this period, the national COVID-19 responses included stay-at-home directives issued by the state, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d3959638a0ee48609f38b1da26392fd
http://www.sciencedirect.com/science/article/pii/S2590005621000230
http://www.sciencedirect.com/science/article/pii/S2590005621000230
Publikováno v:
Expert Systems with Applications. 105:159-173
Market prediction has been an important machine learning research topic in recent decades. A neglected issue in prediction is having a model that can simultaneously pay attention to the interaction of global markets along historical data of the targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f215a2308fddf55750a2cf2967e8becd
https://doi.org/10.1016/j.eswa.2018.03.037
https://doi.org/10.1016/j.eswa.2018.03.037
Publikováno v:
Engineering Applications of Artificial Intelligence. 88:103340
Market prediction has been an important research problem for decades. Having better predictive models that are both more accurate and faster has been attractive for both researchers and traders. Among many approaches, semi-supervised graph-based pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2589c686b272e7a5b207db05ca31c9cd
https://doi.org/10.1016/j.engappai.2019.103340
https://doi.org/10.1016/j.engappai.2019.103340
Publikováno v:
Bonfring International Journal of Industrial Engineering and Management Science. 6:01-11
Network science has become an ever- increasing and interesting field of research in the recent decade by focusing on finding hidden knowledge in complex networks. This study of complex relationships in network structures has also gained a lot of inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1151bcf0ac9c186046267e641495cd3d
https://doi.org/10.9756/bijiems.10437
https://doi.org/10.9756/bijiems.10437
Autor:
Mohammad Fathian, Arash Negahdari Kia
Publikováno v:
Management Science Letters, Vol 2, Iss 2, Pp 561-570 (2012)
Article history: Received October 10, 2011 Received in Revised form November, 14, 2011 Accepted 8 December 2011 Available online 12 December 2011 In this paper, the problem of predicting the exchange rate time series in the foreign exchange rate mark
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f41b3b819c7cd27dac6956942a9eef05
https://doi.org/10.5267/j.msl.2011.12.008
https://doi.org/10.5267/j.msl.2011.12.008
Publikováno v:
International Journal of Information and Electronics Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21fcc4ba182aa97790652aac9776c90b
https://doi.org/10.7763/ijiee.2012.v2.157
https://doi.org/10.7763/ijiee.2012.v2.157