Displaying similar documents to “Abstract action potential models for toxin recognition.”

Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies

Thomas Fevens, Adam Krzyżak (2008)

International Journal of Applied Mathematics and Computer Science

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According to the World Health Organization (WHO), breast cancer (BC) is one of the most deadly cancers diagnosed among middle-aged women. Precise diagnosis and prognosis are crucial to reduce the high death rate. In this paper we present a framework for automatic malignancy grading of fine needle aspiration biopsy tissue. The malignancy grade is one of the most important factors taken into consideration during the prediction of cancer behavior after the treatment. Our framework is based...

Theoretical Hyperbolic Model of a Partial Agonism: Explicit Formulas for Affinity, Efficacy and Amplification

Milanov, Peter, Pencheva, Nevena (2011)

Serdica Journal of Computing

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The quantitative analysis of receptor-mediated effect is based on experimental concentration-response data in which the independent variable, the concentration of a receptor ligand, is linked with a dependent variable, the biological response. The steps between the drug–receptor interaction and the subsequent biological effect are to some extent unknown. The shape of the fitting curve of the experimental data may give some in-sights into the nature of the concentration–receptor–response...

Summarizing sensors data in vehicular ad hoc networks

Dorsaf Zekri, Bruno Defude, Thierry Delot (2010)

RAIRO - Operations Research - Recherche Opérationnelle

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This article focuses on data aggregation in vehicular networks. In such networks, sensor data are usually produced and exchanged between vehicles in order to warn or inform the drivers when an event is detected (, ). In the following, we present a solution to aggregate and store these data in order to have a history of past events. We therefore use Flajolet-Martin sketches. Our goal is to generate additional knowledge to assist drivers by providing them useful information even if no...

Towards spike-based speech processing: A biologically plausible approach to simple acoustic classification

Ismail Uysal, Harsha Sathyendra, John G. Harris (2008)

International Journal of Applied Mathematics and Computer Science

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Shortcomings of automatic speech recognition (ASR) applications are becoming more evident as they are more widely used in real life. The inherent non-stationarity associated with the timing of speech signals as well as the dynamical changes in the environment make the ensuing analysis and recognition extremely difficult. Researchers often turn to biology seeking clues to make better engineered systems, and ASR is no exception with the usage of feature sets such as Mel frequency cepstral...