Abstract We develop a novel hybrid method for Bayesian network structure learning called partitioned greedy search (pHGS), composed of three distinct yet compatible new algorithms: Partitioned PC (pPC) accelerates skeleton via divide-and-conquer strategy, p -value adjacency thresholding (PATH) effectively accomplishes parameter tuning with single execution, and initialization (HGI) maximally ut...

Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...

Recent developments in the area of smart structures indicate that variable geometry / stiffness truss network is of fundamental importance in designing smart transformable structures and systems for space applications. This paper presents the conceptual design and dynamic modeling of a cooperative re-configurabel dual-arm robotic structure called Dual-Arm Cam-Lock Manipulator. The Manipulator i...

the study of ngos network function as facilitator in enviropreneurship development in iranian environmental ngos was the main aim of this research that conducted as a casual model method. the statistical sample was 51 environmental ngos in iran that selected randomly. questionnaire research instrument was to measure the studied structures. content validity by panel study confirmed. to determine...

Network environments always can be invaded by intruder agents. In networks where nodes are performing some computations, intruder agents might contaminate some nodes. Therefore, problem of decontaminating a network infected by intruder agents is one of the major problems in these networks. In this paper, we present a distributed asynchronous local algorithm for decontaminating a network. In mos...