Inspired by the Belt and Road Initiative, we introduce a model of two-stage network games, when players first form directed (the stage) then they may reconsider actions made at stage choose controls to influence other in positive or negative way second stage). At both stages get their payoffs. Considering cooperative version game, examine problem subgame consistency design an imputation distrib...

In today’s competitive business environment, the design and management of supply chainnetwork is one of the most important challenges that managers encounter. The supply chain network shouldbe designed for satisfying of customer demands as well as minizing the total system costs. This paper presentsa multi-period multi-stage supply chain network design problem under demand uncertainty. The prob...

With the constant update of deep learning technology, super-resolution reconstruction technology based on has also attained a significant breakthrough. This paper primarily discusses integration and techniques. Regarding application in reconstruction, improvement is focused two dimensions algorithm efficiency effect. On basis currently available neural network algorithms, this puts forward two-...

Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution (SISR) and contribute remarkable progress. However, most of the existing CNNs-based SISR methods do not adequately explore contextual information feature extraction stage pay little attention to final high-resolution (HR) reconstruction step, hence hindering desired SR performance. To ...

The current study investigates performance in two-stage production systems through the measurement of capacity utilization (CU). In short-run, the degree of capacity utilization depends on the ability of decision making units to utilize fixed production factors. To develop this indicator in two-stage production processes, a modified SBM network DEA model is proposed. A numerical example is also...