This study proposed a deep neural network (DNN) model for the mortality rates of multiple populations, comprising the long short-term memory (LSTM) and convolutional neural network (CNN) models. As mortality trends are reflected for a long period and summarizing the complicated dependency of...

Public utilities such as power transmission and distribution are often considered natural monopolies due to entry barriers, economies of scale and usually have specific regulations. One of the most-used regulatory tools is rate-of-return regulation, where the government determines the fair price...

A clustering-based undersampling (CUS) and distance-based near-miss method are widely used in current imbalanced learning algorithms, but this method has certain drawbacks. In particular, the CUS does not consider the influence of the distance factor on the majority of instances, and the...

The problem of designing a rebalancing algorithm for a large-scale ridehailing system with asymmetric (unbalanced) demand is considered here. We pose the rebalancing problem within a semi Markov decision problem (SMDP) framework with closed queues of vehicles serving stationary, but asymmetric...