Universities X.0: integrating new educational and research tools to build networks of ideas, collaborative knowledgebuilders, and learning spaces to transform the world into an evolving global campus open to all Françoi

Source URL: cri-paris.org

Evolving Sensitivity Balances Boolean Networks Jamie X. Luo1,2, Matthew S. Turner1,2* 1 Centre for Complexity Science, University of Warwick, Coventry, West Midlands, United Kingdom, 2 Department of Physics, University o

Source URL: homepages.warwick.ac.uk

• Networks
• Stem cells
• Gene regulatory network
• Systems biology
• Attractor
• Cellular differentiation
• Boolean network
• Outline of cell biology
• Robustness
• Biology
• Developmental biology
• Cell biology

CASE STUDY | HIGHER EDUCATION St. John Fisher College Meeting the evolving needs of the all-wireless campus with a Meru Education-grade (MEG) network

Source URL: www.merunetworks.com

• Electronic engineering
• Meru Networks
• IEEE 802.11ac
• Wi-Fi
• Wireless LAN
• Wireless access point
• Wireless network
• IEEE 802.11
• Hotspot
• Wireless networking
• Technology
• Wireless

Making the Internet Business-Ready. Fast, Reliable and Secure. The Internet is becoming essential to our daily lives. The world around us is rapidly evolving and technology is pushing the limits of what

Source URL: www.akamai.fr

• Computing
• Network architecture
• Speedera Networks
• Content delivery network
• Akamai Technologies
• Internet

Evolving Multilayer Neural Networks using Permutation free Encoding Technique Anupam Das and Saeed Muhammad Abdullah Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dh

Source URL: web.engr.illinois.edu

• Science
• Perceptron
• Backpropagation
• Genetic algorithm
• Types of artificial neural networks
• Artificial neural network
• Neural networks
• Machine learning
• Cybernetics

Permutation Free Encoding Technique for Evolving Neural Networks Anupam Das, Md. Shohrab Hossain, Saeed Muhammad Abdullah, and Rashed Ul Islam Department of Computer Science and Engineering, Bangladesh University of Engi

Source URL: web.engr.illinois.edu

• Applied mathematics
• Machine learning
• Computational neuroscience
• Genetic algorithm
• Mathematical optimization
• Backpropagation
• Evolutionary algorithm
• Types of artificial neural networks
• Recurrent neural network
• Neural networks
• Cybernetics
• Science

Automatic Generation of Graph Models for Complex Networks by Genetic Programming Alexander Bailey Mario Ventresca

Source URL: www.genetic-programming.org

• Network theory
• Graph
• Random graphs
• Centrality
• Connectivity
• Evolving networks
• Small-world network
• Null graph
• Erdős–Rényi model
• Graph theory
• Mathematics
• Networks

PRL 112, week ending 21 MARCHPHYSICAL REVIEW LETTERS

Source URL: www.mobs-lab.org

• Mathematics
• Complex network
• Evolving networks
• Degree distribution
• Centrality
• Network science
• Network theory
• Graph theory
• Networks

Evolving an Automatic Defect Classification Tool Assaf Glazer1,2 and Moshe Sipper1 1 Dept. of Computer Science, Ben-Gurion University,

Source URL: www.cs.bgu.ac.il

• Cybernetics
• Operations research
• Computational statistics
• Neural networks
• Mathematical optimization
• Genetic algorithm
• Feature selection
• Algorithm
• Chromosome
• Applied mathematics
• Mathematics
• Statistics

work’s links were simply determined by a completely random process. • The degree distribution of networks tends to exhibit “fat tails” and often approximate a “scalefree” or “power-law” distribution. Thus

Source URL: www.eecs.harvard.edu

• Evolving networks
• Scale-free network
• Degree distribution
• Average path length
• Clustering coefficient
• Social network
• Network science
• Barabási–Albert model
• Graph theory
• Network theory
• Networks