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» Dynamic and Static Influence Models on Starbucks Networks
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PERCOM
2011
ACM
14 years 1 months ago
Mobile node rostering in intermittently connected passive RFID networks
— This paper focuses on the problem of rostering in intermittently connected passive RFID networks. It aims to report a list of tagged mobile nodes that appear in given intereste...
Zhipeng Yang, Hongyi Wu
INFOCOM
2008
IEEE
15 years 4 months ago
Power Awareness in Network Design and Routing
Abstract—Exponential bandwidth scaling has been a fundamental driver of the growth and popularity of the Internet. However, increases in bandwidth have been accompanied by increa...
Joseph Chabarek, Joel Sommers, Paul Barford, Crist...
ENGL
2006
84views more  ENGL 2006»
14 years 9 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
APNOMS
2006
Springer
15 years 1 months ago
Performance Analysis of an Adaptive Soft Handoff Algorithm for Mobile Cellular Systems
In this paper, an adaptive soft handoff algorithm, which dynamically calculates the threshold values for soft handoff based on the received signal strength, is proposed for mobile ...
Huamin Zhu, Kyung Sup Kwak
IJCNN
2006
IEEE
15 years 3 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...