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NN
2006
Springer
120views Neural Networks» more  NN 2006»
15 years 4 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
EWSN
2006
Springer
16 years 3 months ago
Power Management for Bluetooth Sensor Networks
Low power is a primary concern in the field of wireless sensor networks. Bluetooth has often been labeled as an inappropriate technology in this field due to its high power consump...
Luca Negri, Lothar Thiele
WONS
2005
IEEE
15 years 9 months ago
Commercial Wireless Sensor Networks: Technical and Business Issues
In this paper1 we study the opportunities of commercial exploitation of applications based on sensor networks. Such applications are quite famous nowadays in many different domain...
Vassileios Tsetsos, George Alyfantis, Tilemahos Ha...
165
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COMSUR
2011
219views Hardware» more  COMSUR 2011»
14 years 4 months ago
Link Scheduling Algorithms for Wireless Mesh Networks
Abstract—We provide an overview of link scheduling algorithms in Spatial Time Division Access (STDMA) wireless mesh networks. These algorithms can be classified into three categ...
Ashutosh Deepak Gore, Abhay Karandikar
AAAI
1998
15 years 5 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer