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In this paper, we propose a new approach for the automatic audio-based out-of-scene detection of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is clustered to out-of-scene and in-scene ...
In this case study, we apply a recently developed method to systematically predict the linear dependencies in concentration profiles and identify minimum requirements to enable optimisation of rate constants and pure component spectra via direct multivaria ...
We describe a method to classify online sleep/wake states of humans based on cardiorespiratory signals for wearable applications. The method is designed to be embedded in a portable microcontroller device and to cope with the resulting tight power and weig ...
Recent results showed that taking into account attention to attributes in random utility models leads to better fitting models. In this paper, we study a proposition to model attention to attributes instead of monitoring it. We test this model considering ...
An adaptive distributed estimation strategy is developed based on incremental gradient techniques. The proposed scheme addresses the problem of distributed linear estimation in a cooperative fashion, resulting in a distributed algorithm that can respond in ...
Fluorescence correlation spectroscopy (FCS) has emerged as a powerful technique for measuring low concentrations of fluorescent molecules and their diffusion constants. In FCS, the experimental data is conventionally fit using standard local search techniq ...
Hydrocarbon mass transfers to the atmosphere and water column drive the early weathering of oil spills and also control the chemical exposures of many coastal wildlife species. However, in the field, mass transfer rates of individual hydrocarbons to air an ...
Anew, to our knowledge, group contribution method based on the group contribution method of Mavrovouniotis is introduced for estimating the standard Gibbs free energy of formation (Delta(f)G'(degrees)) and reaction (Delta(r)G'(degrees)) in biochemical syst ...
In this paper, we propose a new approach for the automatic audio-based out-of-scene detection of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is clustered to out-of-scene and in-scene ...
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 ...