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Dispersal is often viewed as a process on which the landscape has little effect. This is particularly apparent in populations’ genetic and ecological studies, where isolation by distance is generally tested using a Euclidean distance between populations. H ...
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In this paper, we introduce a model for rhythms based on the distributions of di ...
This paper analyzes several mitigation strategies and techniques that could enable delay sensitive applications to work properly over satellite IP networks. A study is conducted on different satellite classes (GEO, MEO and LEO) and the analysis of the curr ...
We study the system of two quantum dots lying on the central plane of a planar semiconductor microcavity. By solving the full Maxwell problem, we demonstrate that the rate of resonant excitation transfer between the two dots decays as d(-12) as a function ...
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In this paper, we introduce a model for rhythms based on the distributions of di ...
In this paper we present analog current mode Euclidean distance calculation (EDC) block, which calculates the distance between two current vectors. The proposed circuit is an important part of the CMOS-implemented Kohonen’s neural network (KNN) designed fo ...
We study coordination strategies for a multirobot team. The goal is to find the source of an odour most efficiently in terms of the distance travelled by the robots and the time required to discover the source. We focus on the problem of finding the source ...
The hydrothermal synthesis and structural characterization of the lanthanide silicate system [Na6Ln2Si12O30x H2O] (Ln=La3+, Sm3+, Eu3+, Gd3+, and Tb3+), named AV-21, has been reported. Structural elucidation of the Sm3+ analogue (isomorphous with the Eu3+, ...
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties because databases may not provide enough examples for some rare words. In th ...
Neuron models, in particular conductance-based compartmental models, often have numerous parameters that cannot be directly determined experimentally and must be constrained by an optimization procedure. A common practice in evaluating the utility of such ...