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141 results for “Complex Network”
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EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractOSCILLATORY SYNTHETIC BIOLOGICAL SYSTEM CONSTRUCTION USING INTERACTIVE EVOLUTIONARY COMPUTATIONSQuang Huy Dinh, Nasimul Noman, Hitoshi IbaIn this study, we propose an Interactive Evolutionary Computation system to design gene networks for synthetic biology, of which the objective is to construct new organisms through the artificial synthesis of gene networks. Wet laboratories typically design gene networks through trial and error methods, which makes the construction of complex networks difficult. As a solution, automation can significantly improve the … …Journal of Computer Science, Vol. 10, Issue 12 · 14 Jan 2015 · 8,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractA PREEMPTIVE LINK STATE SPANNING TREE SOURCE ROUTING PROTOCOL FOR MOBILE ADHOC NETWORKSPoonkuzhali Ramadoss, Sanavullah Mohamed Yakub, Sabari AnnajiRouting protocol is a central issue in Mobile Adhoc Networks (MANET). Several routing protocols have been proposed to deal with the routing issue in MANETs. Routing is a complex task in MANET, if the network is heavily loaded. In this study a new QoS routing protocol is proposed which provides better path selection by avoiding congestion, balancing the load and … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractON REDUCED SCALAR EQUATIONS FOR SYNCHRONOUS BOOLEAN NETWORKSAli Muhammad Ali Rushdi, Adnan Ahmad AlsogatiA total description of a synchronous Boolean network is typically achieved by a matrix recurrence relation. A simpler alternative is to use a scalar equation which is a possibly nonlinear equation that involves two or more instances of a single scalar variable and some Boolean operator(s). Further simplification is possible in terms of a linear reduced scalar equation which is … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 10 Sep 2013 · 6,665 accessesView PDFCite
Research ArticleOpen accessIn the abstractCost-Effective Wire-Harness Model by Using Polymer Optical FiberMohammad Syuhaimi Ab-Rahman, Farshad Nasimi KhamenehIn the past decade automotive industries faced the exponential increase of in-vehicle electronic devices. The hydraulic systems are replacing with sophisticate electronic systems. Market demands for exploiting new in-vehicle technologies such as multimedia systems, internet access, GPS, Mobile communication, internal private network; engine, body and power train intelligent control and monitoring systems are increasing daily. These new needs make the … …Journal of Computer Science, Vol. 9, Issue 7 · 25 Jun 2013 · 7,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic Temporal Neuro Fuzzy Inference System for Mining Medical DatabasesR. Sethukkarasi, A. KannanThe analysis and representation of temporal data are becoming increasingly important in many areas of research and application. The existing Fuzzy Cognitive Maps (FCMs) are efficient modeling method for knowledge representation and fuzzy reasoning in time series analysis. In the past, it was used to represent a complex causal system as a collection of concepts and causal relationships among concepts. … …Journal of Computer Science, Vol. 8, Issue 11 · 7 Nov 2012 · 6,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractClose Range Photogrammetry and Neural Network for Facial RecognitionRami Al-Ruzouq, Shatha KadhimRecently, there has been an increasing interest in utilizing imagery in different fields such as archaeology, architecture, mechanical inspection and biometric identifiers where face recognition considered as one of the most important physiological characteristics that is related to the shape and geometry of the faces and used for identification and verification of a person's identity. In this study, close range … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 13 Aug 2012 · 7,319 accessesView PDFCite
Research ArticleOpen accessIn the abstractMobile Anonymous Trust Based Routing Using Ant Colony OptimizationR. Kalpana, N. RengarajanProblem statement: Ad hoc networks are susceptible to malicious attacks through denial of services, traffic analysis and spoofing. The security of the ad hoc routing protocol depends upon encryption, authentication, anonymity and trust factors. End-to-end security of data is provided by encryption and authentication, topology information of the nodes can be obtained by studying traffic and routing data. This security … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 30 Jun 2012 · 6,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Modeling for Traffic Noise in Urban AreaFrancis Cirianni, Giovanni LeonardiTraffic noise can be classified among the worst factors in terms of damage to people’s health and well-being. The trend of noise pollution modeling variable from the smart result of classic regressive models in the performance of many assessment models based on mathematical expressions, genetic algorithms and neural networks (of GRNN type, General Regression Neural Network). A methodological approach for … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 18 Jun 2012 · 7,438 accessesView PDFCite
Research ArticleOpen accessIn the abstractCross Validation Evaluation for Breast Cancer Prediction Using Multilayer Perceptron Neural NetworksShirin A. Mojarad, Satnam S. Dlay, Wai L. Woo, Gajanan V. SherbetProblem statement: The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers have prohibited an accurate … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 20 Feb 2012 · 7,699 accessesView PDFCite