Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Hisham El-Shishiny"'
Publikováno v:
RAPIDO
While cloud computing is widely adopted in many application domains, it is not yet the case for the high performance computing (HPC) domain. HPC traditionally runs on homogeneous, high-cost servers with fast networking providing for predictable perfo
Autor:
James C. Spohrer, Stephen Perelgut, Seshadri Subbanna, Dale Davis, Marcellus Mindel, Qiqing (Christine) Ouyang, Juan Caraballo, Hisham El-Shishiny
Publikováno v:
Serviceology for Smart Service System ISBN: 9784431560722
ICServ
ICServ
This paper begins to integrate the technical literature on smart service systems with the more established policy literature on industry, academic, government collaborations. IBM’s existing Collaborative Innovation Centers (CICs) serve to ground th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df5a3e853d78891f9b6f199394c629b
https://doi.org/10.1007/978-4-431-56074-6_42
https://doi.org/10.1007/978-4-431-56074-6_42
Publikováno v:
International Journal of Forecasting. 27:672-688
In this work we introduce the forecasting model with which we participated in the NN5 forecasting competition (the forecasting of 111 time series representing daily cash withdrawal amounts at ATM machines). The main idea of this model is to utilize t
Publikováno v:
International Journal of Forecasting. 27:870-886
Forecast combination is a well-established and well-tested approach for improving the forecasting accuracy. One beneficial strategy is to use constituent forecasts that have diverse information. In this paper we consider the idea of diversity being a
Autor:
Hisham El-Shishiny, Mohamed Saleh, Heba Abdel Aziz Mohammed Habib, Neamat El Gayar, Amir F. Atiya, Athanasius Zakhary
Publikováno v:
International Journal of Contemporary Hospitality Management. 23:84-98
PurposeThis paper aims to present an integrated framework for hotel revenue room maximization. The revenue management (RM) model presented in this work treats the shortcomings in existing systems. In particular, it extends existing optimization techn
Publikováno v:
Technological Forecasting and Social Change. 77:1051-1060
All Trend Impact Analysis (TIA) algorithms in literature conduct the analysis based on direct estimates provided by experts for the probability of occurrence of an unprecedented event as an input to the algorithm. In this paper, we propose an advance
Publikováno v:
Econometric Reviews. 29:594-621
In this work we present a large scale comparison study for the major machine learning models for time series forecasting. Specifically, we apply the models on the monthly M3 time series competition data (around a thousand time series). There have bee
Publikováno v:
Journal of Revenue and Pricing Management. 10:344-366
Forecasting hotel arrivals and occupancy is an important component in hotel revenue management systems. In this article, we propose a new Monte Carlo simulation approach for the arrivals and occupancy forecasting problem. In this approach, we simulat
Autor:
Hisham El-Shishiny, Ashraf S. Hussein
Publikováno v:
Journal on Computing and Cultural Heritage. 2:1-22
In this article, the wind flow over one of the most important Egyptian historical heritage sites, the Giza Plateau, was investigated using the Computational Fluid Dynamics (CFD) state-of-the-art techniques. The present study addresses the influences
Publikováno v:
Technological Forecasting and Social Change. 76:952-962
Trend Impact Analysis is a simple forecasting approach, yet powerful, within the Futures Studies paradigm. It utilizes experts' judgements to explicitly deal with unprecedented future events with varying degrees of severity in generating different po