estimating the final price of products is of great importance. for manufacturing companies proposing a final price is only possible after the design process over. these companies propose an approximate initial price of the required products to the customers for which some of time and money is required. here using the existing data of already designed transformers and utilizing the bayesian anal...

this paper describes a study of operational parameters by using the multivariate data analysis and neural networks for a municipal waste incinerator located in majorca (spain). the basis of the study also includes the chemometric techniques: linear multivariate regression to develop a model with certain predictive capabilities; linear principal component analysis, which allow the number of vari...

achieving the millennium development goals has proven to be a real challenge. providing evidence on cost-effective interventions did not prove to be sufficient to secure the trust of national authorities, health care providers and patients. introducing change in a health system requires a good understanding of the relationships between the actors of the system. social network analysis can provi...

the present study is an attempt towards remodeling cost, revenue and profit relationship within the network process. the previous models of data envelopment analysis (dea) have been too general in their scope and focused on the input and the output within a black box system, therefore they have not been able to measure various phases simultaneously within a network system. by using these models...

background: due to embargoes and sanctions from 1979 until 2015, impact on scientific research in iran may be critical. public health is the main example of this burning point. in this paper, the aim was to map the scientific research in public health in iran until 2014 with area studies as well as networks of countries involved. methods: we used bibliographic analyses using vos viewer software...

health systems research aims to understand the governance of health systems (i.e. how health systems function and perform and how their actors interact with each other). this can be achieved by applying innovative methodologies and concepts that are going to capture the complexity and dynamics of health systems when they are affected by shocks. the capacity of health systems to adapt to shocks ...

detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (wsns). to address the problem of outlier detection in wireless sensor networks, in this paper we present a pca-based centralized approach and a dpca-based distributed energy-efficient approach for detecting outliers in sensed data in a wsn. the outliers in sensed data can be ca...

background: co-authorship is one of the most tangible forms of research collaboration. a co-authorship network is a social network in which the authors through participation in one or more publication through an indirect path have linked to each other. the present research using the social network analysis studied co-authorship network of 681 articles published in journal of research in medical...