Deep neural networks have become increasingly more popular under the name of deep learning recently due to their success in challenging machine learning tasks. Although the popularity is mainly due to the recent successes, the history of neural networks goes as far back as 1958 when Rosenblatt presented a perceptron learning algorithm. Since then, various kinds of artificial neural networks hav...

In this article, equipment overhaul is considered in a multi-stage flow shop scheduling problem. problem, the equipments are disassembled first stage, and repairs done on parallel workshops second assembly operation third stage. Considering three-stage with machines stages new industry. The sequence of processing determined as well allocation should be such way that total completion time jobs m...

this paper studies the multi-stage supply chain system (msscm) controlled by the kanban mechanism. in the kanban system, decision making is based on the number of kanbans as well as batch sizes. a kanban mechanism is employed to assist in linking different production processes in a supply chain system in order to implement the scope of just-in-time (jit) philosophy. for a msscm, a mixed-integer...

Today’s data centers offer tremendous aggregate bandwidth to clusters of tens of thousands of machines. However, because of limited port densities in even the highest-end switches, data center topologies typically consist of multi-rooted trees with many equal-cost paths between any given pair of hosts. Existing IP multipathing protocols usually rely on per-flow static hashing and can cause subs...

The subprime mortgage crisis have triggered a significant economic decline over the world. Credit rating forecasting has been a critical issue in the global banking systems. The study trained a Gaussian process based multi-class classifier (GPC), a highly flexible probabilistic kernel machine, using variational Bayesian methods. GPC provides full predictive distributions and model selection sim...

The high energy consumption in cloud data centers has become an urgent problem. The scale and architecture of cloud data centers are growing increasingly immense and complex in recent years, which bring more severe challenges on the energy consumption management. This paper proposes new approaches for virtual machines (VMs) placement based on CPU frequency scaling. In the stage of initial VM pl...

Prediction of cancer survivability using machine learning techniques has become a popular approach in recent years. ‎In this regard, an important issue is that preparation of some features may need conducting difficult and costly experiments while these features have less significant impacts on the final decision and can be ignored from the feature set‎. ‎Therefore‎, ‎developing a machine for p...