Disclosing Edge Intelligence: A Systematic Meta-Survey

Depression among Iranian nurses: A systematic review and meta-analysis

Background: Depression is one of the most commonly diagnosed mental disorders. Nurses and other hospital service providers are a group at high risk for developing depression. Thus, knowing the prevalence of depression among nurses can help the health care decision- makers to plan ad hoc prevention programs to control depression in this group. This study was conducted to quantitatively assess th...

Nutraceuticals in Hyperlipidemic Children: a Systematic Review and Meta-analysis

Background Dyslipidemia is a major risk for cardiovascular diseases. The aim of this study is to review the effects of nutraceuticals to modify lipid disorders in children. Materials and Methods The literature research was conducted in EMBASE, Medline, PubMed, Scopus, ISI Web of Science, and Cochrane library from 2002 until January 2015. The following keywords were used: dyslipidemia, hyperlipi...

A SURVEY OF CHAOS EMBEDDED META-HEURISTIC ALGORITHMS

This article presents a comprehensive review of chaos embedded meta-heuristic optimization algorithms and describes the evolution of this algorithms along with some improvements, their combination with various methods as well as their applications. The reported results indicate that chaos embedded algorithms may handle engineering design problems efficiently in terms of precision and convergenc...

Artificial Intelligence: A General Survey

Intelligence Optimization Algorithms: A Survey

Intelligence optimization algorithms are a large class of probabilistic optimization algorithms, which solve varieties of complex optimization problems by mimicking the physical or biological phenomena, including Simulated Annealing, Genetic Algorithms, Ant Colony Optimization, and Particle Swarm Optimization and so on. These algorithms are successful in solving multi-extremes function problems...