Carbon monoxide (CO) is one of the main air pollutants produced by incomplete combustion process particularly in the urban areas and exposing to the CO polluted environments will definitely affect human health. Therefore, providing a comprehensive computer modeling based on the current and previous related information for further study, analyses and decision making is of paramount importance. T...

we present a novel and e±cient scheme that selects a minimal set of effective features and channels for detecting the p300 component of the event-related potential in the brain-computer interface (bci) paradigm. for obtaining a minimal set of effective features, we take the truncated coe±cients of discrete daubechies 4 wavelet, and for selecting the effective eeg channels, we utilize an improve...

System reliability analysis and optimization are important to efficiently utilize available resources and to develop an optimal system design architecture. System reliability optimization has been solved by using optimization techniques including meta-heuristics. Meanwhile, the development of meta-heuristics has been an active research field of the reliability optimization wherein the redundanc...

in this paper, we present a new method to determine the optimal location and parameter settings of unifiedpower flow controller (upfc) for removing voltage violations and transmission lines overloading. upfc isconsidered as the most powerful member of the facts devices, that it can control shunt and series power flow.this option gives to upfc the power to control the voltage profile and transmi...

binary decision diagram (in short bdd) is an efficient data structure which has been used widely in computer science and engineering. bdd-based attack in key stream cryptanalysis is one of the best forms of attack in its category. in this paper, we propose a new key stream attack which is based on zdd(zero-suppressed bdd). we show how a zdd-based key stream attack is more efficient in time and ...

This manuscript briefly describes an algorithm developed for the ISIC 2017 Skin Lesion Classification Competition. In this task, participants are asked to complete two independent binary image classification tasks that involve three unique diagnoses of skin lesions (melanoma, nevus, and seborrheic keratosis). In the first binary classification task, participants are asked to distinguish between...

Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...