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Forecasting passenger arrival is crucial for daily
operations. In revenue management, predicting the
number of passengers at departure offers essential
information for seat allocation, overbooking, and
pricing decisions. In recent years, Artificial
Neural Networks have been successfully applied on
solving time series forecasting problems. In this
study, we show how to design ANN models to predict
short-term railway passenger demand by using input
information as effective as possible. The concept of
divide-and-conquer is utilized in designing new
structures in this study; three...

This is the first book-length study of Forster’s posthumously-published novel. Nine essays focus exclusively on Maurice and its dynamic afterlives in literature, film and new media during the twentieth and twenty-first centuries. Begun in 1913 and revised over almost fifty years, Maurice became a defining text in Forster’s work and a canonical example of queer fiction. Yet the critical tendency to read Maurice primarily as a ‘revelation’ of Forster’s homosexuality has obscured important biographical, political and aesthetic contexts for this novel.  This collection places Maurice...