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Related publications (526)

Enabling Adaptive Video Streaming in P2P Systems

Pascal Frossard, Dan Jurca, Jean-Paul Wagner

Peer-to-peer (P2P) systems are becoming increasingly popular due to their ability to deliver large amounts of data at a reduced deployment cost. While P2P systems foster the development of novel media applications, they also represent an interesting altern ...

2007

A new optical tool to combine optical and electrical analysis in neuronal drug screening

Diego Ghezzi

Since their introduction 30 years ago, Micro-Electrode Arrays (MEAs) have been exploited as devices providing distributed information about learning, memory and information processing in a cultured neuronal network, thus changing the field of view from the ...

2007

Column Generation Methods for Disrupted Airline Schedules

Michel Bierlaire, Matteo Salani, Niklaus Eggenberg

We consider the recovery of an airline schedule after an unforeseen event, commonly called disruption, that makes the planned schedule unfeasible. In particular we consider the aircraft recovery problem for a heterogeneous fleet of aircrafts, made of regul ...

2007

Describing network congestion and blocking with an analytic queueing network model

Michel Bierlaire, Carolina Osorio Pizano

In a network with capacity constraints congestion effects such as bottlenecks, spillbacks and gridlocks can be observed. These can be described with a queueing network model. The main challenge of such an approach lies in adequately capturing the between-q ...

2007

Describing network congestion and blocking with an analytic queueing network model

Michel Bierlaire, Carolina Osorio Pizano

2007

Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 μm Technology

Rafal Tomasz Dlugosz

In this paper, we present a block of adaptive weight change (AWC) mechanism for analog current-mode Kohonen's Neural Network (KNN) implemented in CMOS 0.18 μm technology. As some other essential building blocks of KNNs dealing with the calculations of the ...

2007

Modeling of Multiple Valued Gene Regulatory Networks

Giovanni De Micheli, Abhishek Garg, Ioannis Xenarios

In silico modeling of Gene Regulatory Networks has gained a lot of attention recently as it gives a very powerful tool to experimental biologists to gather the knowledge gained from different biological experiments and understand the dynamics of the overal ...

2007

Network Coding Fundamentals

Christina Fragouli, Emina Soljanin

Network coding is an elegant and novel technique introduced at the turn of the millennium to improve network throughput and performance. It is expected to be a critical technology for networks of the future. This tutorial addresses the first most natural q ...

2007

Innovations-Based Sampling Over Spatially-Correlated Sensors

Ali H. Sayed

e consider an estimation network of many distributed sensors, where each senor takes a noisy measurement of some unknown parameter. Due to energy limitation, the network selects only a subset of sensors for data fusion as long as the distortion is tolerabl ...

IEEE2007

Artificial neural networks in spectrum fatigue life prediction of composite materials

Anastasios Vassilopoulos

An artificial neural network has been proved to be a sufficient tool for modelling fatigue life of multidirectional composite laminates made of GFRP composite materials and tested under constant amplitude loading patterns. Modelling efficiency of the netwo ...

Elsevier2007

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