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On multicriteria optimization of cellular networks
12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598), 2002In this paper we propose a new method in order to replace the traditional network planning procedure. The new method is based on optimization of multicriteria, binomial objective function. The constraints of the objective function are formulated using a penalty method and genetic algorithms are used for solving the optimization problem.
Kai Lieska, Erkki Laitinen
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Resolutionable cellular neural networks
Proceedings of International Conference on Neural Networks (ICNN'97), 2002This paper describes resolutionable cellular neural networks (CNNs) by which a wide range of image applications can be done based on spatio-temporal dynamics to generate triplet (red, green, blue) combinational secondary color for a full color input with any resolution.
Mamoru Tanaka +5 more
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SELFORGANIZATION IN MOLECULAR AND CELLULAR NETWORKS
Neurochemistry International, 1980Biological organisation rests on forces among material constituents which manifest themselves in two principal forms, namely as static-conservative and as dynamic-dissipative, the latter being responsible for selforganisational and regulatory behaviour.
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A cellular network refers to a mobile network wherein nodes distributed across long distances communicate with each other using radio frequency connections. Cellular wireless networks divide large geographic areas into sections or cells, each served by at least one transceiver.
Henrik Asplund +12 more
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Henrik Asplund +12 more
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Cellular networks in wound healing
Science, 2018Macrophage and fibroblast heterogeneity and plasticity control tissue ...
Sebastian, Willenborg, Sabine A, Eming
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Topology and irregularity in cellular networks
2015 IEEE Wireless Communications and Networking Conference (WCNC), 2015The analysis of cellular systems has been carried out modeling the access network by means of deterministic and stochastic methods. Deterministic models include hexagonal geometries or real-world data. Stochastic methods, given their nature, capture (in a statistical manner) the inhomogeneities found in realistic deployments.
David González G., Jyri Hämäläinen
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Entropic predictions for cellular networks
Physical Review Letters, 1991Summary: Diverse cellular systems evolve to remarkably similar stationary states. We therefore study and simulate a purely topological model. We use a maximum-entropy argument to predict that the average number of \(l\)-sided cells adjacent to an \(n\)-sided cell, \(M_l(n)\), will be linear in \(n\).
Peshkin, Michael A. +2 more
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CELLULAR TELECOMMUNICATIONS NETWORK
2021SHOJAEIFARD ARMAN, MACKENZIE RICHARD
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Cellular Phones and Risk of Brain Tumors†
Ca-A Cancer Journal for Clinicians, 2001Howard Frumkin +2 more
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