Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Falah Al-akashi"'
Autor:
Falah Al-akashi, Diana Inkpen
Publikováno v:
Journal of Information and Organizational Sciences, Vol 48, Iss 1, Pp 1-17 (2024)
The overall volume of data available on the Internet is growing rapidly while finding relevant documents is becoming increasingly difficult. Moreover, queries entered by users are unique, unstructured and often ambiguous while the process has changed
Externí odkaz:
https://doaj.org/article/f93b12a097e547478a529824377917ce
Autor:
Falah Al-akashi, Diana Inkpen Inkpen
Publikováno v:
Journal of Information and Organizational Sciences, Vol 45, Iss 1, Pp 287-308 (2021)
With the rapidly growing amount of information on the internet, real-time system is one of the key strategies to cope with the information overload and to help users in finding highly relevant information. Real-time events and domain-specific informa
Externí odkaz:
https://doaj.org/article/cf9b943605ca479fabb00ef2716e2e68
Autor:
Falah Al-akashi
Publikováno v:
Journal of Information Technology Research. 15:1-16
Often, nonlinearity exists in the financial markets while Artificial Neural Network (ANN) could be used to expect equity market returns for the next years. ANN has been improved its ability to forecast the daily stock exchange rate and to investigate
Autor:
Falah Al-akashi
Publikováno v:
International Journal of Hybrid Information Technology. 14:27-42
Publikováno v:
International Journal of Software Science & Computational Intelligence; Jul-Sep2020, Vol. 12 Issue 3, pN.PAG-N.PAG, 1p
Publikováno v:
Advances in Artificial Intelligence; 2014, p1-1, 1p
Autor:
Marina Sokolova, Peter van Beek
This book constitutes the refereed proceedings of the 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, held in Montréal, QC, Canada, in May 2014. The 22 regular papers and 18 short papers presented together with 3 invited talks