Destination branding is a process of branding a place,a product,or a city,to attract investment,people,and capital.The growing role,significance and importance of destination branding and image in tourism is being wid...Destination branding is a process of branding a place,a product,or a city,to attract investment,people,and capital.The growing role,significance and importance of destination branding and image in tourism is being widely explored.There is a growing body of research in destination branding and specifically with relation to tourism products and brands around the world and how they can use certain elements(element mix)to develop a sense of identity to a place.Branding has become very important in travel and tourism industry since it influences tourists’decisions to visit a place or a city and therefore it affects their level of satisfaction.The main aim of destination branding is to create value and enable destination marketers to successfully use the unique characteristics and attributes associated with the city(e.g.,products,services,arts,technology,location,culture,etc.)to differentiate,position their destinations and sustain a competitive advantage over other tourism brands around the globe.This paper,using case-study methodology,aims to report on a wider project with the aim to develop“Alexandria—the city next door”brand to be available for tourists’choices when selecting a destination to visit.展开更多
The general computational approach of Stochastic Gradient Boosting （SGB） is seen as one of the most powerful methods in predictive data mining. Its applications include regression analysis, classification problems w...The general computational approach of Stochastic Gradient Boosting （SGB） is seen as one of the most powerful methods in predictive data mining. Its applications include regression analysis, classification problems with/without continuous categorical predictors. The present theoretical and experimental study aims to model the free hydraulic jump created through rectangular Channels Downstream （DS） symmetric and asymmetric expansions using SGB. A theoretical model for prediction of the depth ratio of jumps is developed using the governing flow equations. At the same time, statistical models using linear regression are also developed. Three different parameters of the hydraulic jump are investigated experimentally using modified angled-guide walls. The results from the modified SGB model indicate a significant improvement on the original models. The present study shows the possibility of applying the modified SGB method in engineering designs and other practical applications.展开更多
文摘Destination branding is a process of branding a place,a product,or a city,to attract investment,people,and capital.The growing role,significance and importance of destination branding and image in tourism is being widely explored.There is a growing body of research in destination branding and specifically with relation to tourism products and brands around the world and how they can use certain elements(element mix)to develop a sense of identity to a place.Branding has become very important in travel and tourism industry since it influences tourists’decisions to visit a place or a city and therefore it affects their level of satisfaction.The main aim of destination branding is to create value and enable destination marketers to successfully use the unique characteristics and attributes associated with the city(e.g.,products,services,arts,technology,location,culture,etc.)to differentiate,position their destinations and sustain a competitive advantage over other tourism brands around the globe.This paper,using case-study methodology,aims to report on a wider project with the aim to develop“Alexandria—the city next door”brand to be available for tourists’choices when selecting a destination to visit.
文摘The general computational approach of Stochastic Gradient Boosting （SGB） is seen as one of the most powerful methods in predictive data mining. Its applications include regression analysis, classification problems with/without continuous categorical predictors. The present theoretical and experimental study aims to model the free hydraulic jump created through rectangular Channels Downstream （DS） symmetric and asymmetric expansions using SGB. A theoretical model for prediction of the depth ratio of jumps is developed using the governing flow equations. At the same time, statistical models using linear regression are also developed. Three different parameters of the hydraulic jump are investigated experimentally using modified angled-guide walls. The results from the modified SGB model indicate a significant improvement on the original models. The present study shows the possibility of applying the modified SGB method in engineering designs and other practical applications.
