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[PDF] Top 20 Complex Networks: New Models and Distributed Algorithms

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Complex Networks: New Models and Distributed Algorithms

Complex Networks: New Models and Distributed Algorithms

... social networks, both boundedly and fully ...in complex networks is generally an intractable problem, the existing literature focuses on relatively simple and stylized environments ...consider ... See full document

142

Distributed resource allocation algorithms for peer to peer networks

Distributed resource allocation algorithms for peer to peer networks

... a distributed network utility optimization framework for addressing the link bandwidth sharing prob- lem that arises in peer-to-peer networks, where the finite- capacity access link from each peer to the ... See full document

10

A Comprehensive Review on Spectrum Management, Security and Energy Efficient Cognitive Radio Networks

A Comprehensive Review on Spectrum Management, Security and Energy Efficient Cognitive Radio Networks

... applying distributed WSN and enhances the network performance for the present scenario is the ...a new metric termed as Energy per Successful Transmission Time (EPST), it is based on two types of ... See full document

20

Multiparameter Models of Innovation Diffusion on Complex Networks

Multiparameter Models of Innovation Diffusion on Complex Networks

... real-world networks are often organized into commu- nities of subnetworks [23], which are more densely connected internally than to the rest of the network, and models exist showing mechanisms that can ... See full document

19

New algorithms for distributed submodular maximization

New algorithms for distributed submodular maximization

... and complex, and it needs to be stored and/or processed in a distributed ...parallel algorithms for these problems, and analyze the compromise between quality of the solutions obtained and the amount ... See full document

96

Blind distributed estimation algorithms for adaptive networks

Blind distributed estimation algorithms for adaptive networks

... develop algorithms that utilize the distributed structure of an ad hoc wireless sensor network to estimate a certain parameter of ...these algorithms assume that the input regressor data is available ... See full document

20

New Models qnd Algorithms for Bandits and Markets

New Models qnd Algorithms for Bandits and Markets

... Intuitively, the selection of reserve price becomes increasingly important as fewer advertisers compete for an impression. In the extreme case where an impression attracts only a single advertiser, for example, the ad ... See full document

172

Distributed and Location Based Multicast Routing Algorithms for Wireless Sensor Networks

Distributed and Location Based Multicast Routing Algorithms for Wireless Sensor Networks

... a new scalable neighbor selection approach which makes it more scalable than ...a distributed algorithm, but it also uses the location information of the destinations in a global way and routes the ... See full document

14

Exploration of Distributed Image Compression and Transmission Algorithms for Wireless Sensor Networks

Exploration of Distributed Image Compression and Transmission Algorithms for Wireless Sensor Networks

... Therefore, distributed image compression technology is particularly important when wireless sensor networks transmit large amounts of information such as multimedia ...sensor networks is for wireless ... See full document

13

Multi-model ensemble hydrologic prediction and uncertainties analysis

Multi-model ensemble hydrologic prediction and uncertainties analysis

... the complex hydrologic cycle process, and is also a powerful tool for solving the practical hydrological ...hydrological models have developed from empirical models to conceptual models and ... See full document

6

Study of the Behavior of Different Network Models of Complex Networks

Study of the Behavior of Different Network Models of Complex Networks

... Real networks can be demonstrated by scale- free graphs like Internet, World Wide Web, citation network and some social ...a new node to attach to that ...scale-free networks, ...scale-free ... See full document

6

Building lighting energy consumption modelling with hybrid neural-statistic approaches

Building lighting energy consumption modelling with hybrid neural-statistic approaches

... Neural Networks (ANN) [7,8] are computational models which try to simulate some properties of biological neural networks in order to solve complex modelling problems of non-linear ...model ... See full document

8

Energy Efficiency in Wireless Access Networks: Measurements, Models and Algorithms

Energy Efficiency in Wireless Access Networks: Measurements, Models and Algorithms

... Network topology, transmission media, packet processing and coverage considera- tions are some of the key aspects governing energy efficiency at the network and device level. However, data reveals a large expenditure of ... See full document

151

A multi-criteria distribution model for global software development projects

A multi-criteria distribution model for global software development projects

... of distributed projects require careful con- sideration of multiple allocation criteria in a systematic ...or algorithms for task allocation are typically not ...allocation models from different ... See full document

19

New Algorithms for Distributed Sorting in Distributed Systems

New Algorithms for Distributed Sorting in Distributed Systems

... file distributed among two ...optimal algorithms for large ...and algorithms for the sorting problem on local area networks for the cases of serial and parallel connections among the ...Mobile ... See full document

9

Distributed Algorithms for the Optimal Design of Wireless Networks

Distributed Algorithms for the Optimal Design of Wireless Networks

... collision models, it has been shown that distributed threshold-based schedulers with properly designed thresholds maximize total throughput of a network with homogeneous users and total logarithmic ... See full document

168

Distributed Algorithms for Topic Models

Distributed Algorithms for Topic Models

... describe distributed algorithms for two widely-used topic models, namely the Latent Dirichlet Allocation (LDA) model, and the Hierarchical Dirichet Process (HDP) ...our distributed ... See full document

28

Two reduction methods to simplify complex ODE mathematical models of biological networks and a case study: The G1/S checkpoint/DNA-damage signal transduction pathways

Two reduction methods to simplify complex ODE mathematical models of biological networks and a case study: The G1/S checkpoint/DNA-damage signal transduction pathways

... ABMs usage has recently increased as, at present it offers the most complex framework of mathematical modeling. It combines all spatial and temporal dynamics elements, probabilistic events, and individual ... See full document

232

Research and Practice of Personalized Learning Recommendation Based on Dynamic Community Discovery

Research and Practice of Personalized Learning Recommendation Based on Dynamic Community Discovery

... detection algorithms, such as modularization based algorithm[2,3], random walk algorithm[4,5], clustering algorithm[6] and matrix based decomposition algorithm [7-8], community detection algorithms are ... See full document

7

Performance evaluation of concurrency control and locking in distributed database systems

Performance evaluation of concurrency control and locking in distributed database systems

... Various distributed database systems have been designed and im plem ented in recent ...static distributed database ...reliable distributed databases can be ...prototype distributed database ... See full document

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