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MOBILWARE
2009
ACM
15 years 4 months ago
Map-Based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nas...
HIPC
2003
Springer
15 years 3 months ago
Mapping Hypercube Computations onto Partitioned Optical Passive Star Networks
This paper shows that an n = 2k processor Partitioned Optical Passive Stars (POPS) network with g groups and d processors per group can simulate either a mono-directional move of a...
Alessandro Mei, Romeo Rizzi
ICAI
2008
14 years 11 months ago
Mapping of Activity Recognition as a Distributed Inference Problem in Sensor Network
- This paper presents a distributed model for detecting Activities of Daily Living (ADLs) in a home setting. We consider an environment where household devices and utensils are aug...
Md. Kamrul Hasan, Husne Ara Rubaiyeat, Young-Koo L...
TSP
2010
14 years 4 months ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...

Book
803views
16 years 8 months ago
Introduction to Neural Networks for Java
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Jeff Heaton