data envelopment analysis (dea) is a method for measuring the efficiency of peer decision making units (dmus) with multiple inputs and outputs. the traditional dea treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. this carries the notion of missing some intermediate measures in the process of changing the inputs to...

Sleep stage classification is of great importance in sleep analysis, which provides information for the diagnosis and monitoring sleep-related conditions. To accurately analyze structure under comfortable conditions, many studies have applied deep learning to staging based on single-lead electrocardiograms (ECGs). However, there still room improvement inter-subject classification. In this paper...

Numerous metamorphic and polymorphic malicious variants are generated automatically on a daily basis by mutation engines that transform the code of program while retaining its functionality, in order to evade signature-based detection. These automatic processes have greatly increased number malware variants, deeming their fully-manual analysis impossible. Malware classification is task determin...

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...

a three stage production system is considered in this paper. there are two stages to fabricate and ready the parts and an assembly stage to assembly the parts and complete the products in this system. suppose that a number of products of different kinds are ordered. each product is assembled with a set of several parts. at first the parts are produced in the first stage with parallel machines a...