Search Results - "Vrabie, Valeriu"

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  1. 1

    Machine learning techniques on homological persistence features for prostate cancer diagnosis by Rammal, Abbas, Assaf, Rabih, Goupil, Alban, Kacim, Mohammad, Vrabie, Valeriu

    Published in BMC bioinformatics (12-11-2022)
    “…Abstract The rapid evolution of image processing equipment and techniques ensures the development of novel picture analysis methodologies. One of the most…”
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    Journal Article
  2. 2

    Grafting Heterogeneous Neural Networks for a Hierarchical Object Classification by Heller, Guillaume, Perrin, Eric, Vrabie, Valeriu, Dusart, Cedric, Le Roux, Solen

    Published in IEEE access (01-01-2022)
    “…Convolutional neural networks (CNNs) are deep learning architectures used for image classification that have been improved in recent years to increase their…”
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    Journal Article
  3. 3

    Multisource neural network feature map fusion: An efficient strategy to detect plant diseases by Heller, Guillaume, Perrin, Eric, Vrabie, Valeriu, Dusart, Cedric, Panon, Marie-Laure, Loyaux, Marie, Le Roux, Solen

    Published in Intelligent systems with applications (01-09-2023)
    “…The use of RGB cameras or multispectral imaging systems can provide a wide range of applications for crop monitoring, plant phenotyping and disease detection…”
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    Journal Article
  4. 4

    Enhancement of an Optical Fiber Sensor: Source Separation Based on Brillouin Spectrum by Buchoud, Edouard, Vrabie, Valeriu D., Mars, Jerome I., D'Urso, Guy, Girard, Alexandre, Blairon, Sylvain, Henault, Jean-Marie

    Published in IEEE access (01-01-2013)
    “…Distributed optical fiber sensors have gained an increasingly prominent role in structural-health monitoring. These are composed of an optical fiber cable in…”
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    Journal Article
  5. 5

    2D+t track detection via relative persistent homology by Assaf, Rabih, Goupil, Alban, Rammal, Abbas, Vrabie, Valeriu, Kacim, Mohammad

    “…In this paper, we demonstrate that algebraic topology can be used to perform 2D+t object detection. After the construction of a topological complex for a 2D+t…”
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  6. 6

    Persistent homology for object segmentation in multidimensional grayscale images by Assaf, Rabih, Goupil, Alban, Vrabie, Valeriu, Boudier, Thomas, Kacim, Mohammad

    Published in Pattern recognition letters (01-09-2018)
    “…•Demonstration of the potential of the algebraic topology in performing object segmentation tasks.•New combination between the topological constructions and…”
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    Journal Article
  7. 7

    Classification of lignocellulosic biomass by weighted‐covariance factor fuzzy C‐means clustering of mid‐infrared and near‐infrared spectra by Rammal, Abbas, Perrin, Eric, Vrabie, Valeriu, Bertrand, Isabelle, Chabbert, Brigitte

    Published in Journal of chemometrics (01-02-2017)
    “…The analysis of lignocellulosic materials is crucial to optimizing the conversion efficiencies in biorefineries and to studying crop residue input to soil…”
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    Journal Article
  8. 8

    Weighted-covariance factor fuzzy c-means clustering by Rammal, Abbas, Perrin, Eric, Vrabie, Valeriu, Bertrand, Isabelle, Chabbert, Brigitte

    “…In this paper, we propose a factor weighted fuzzy c-means clustering algorithm. Based on the inverse of a covariance factor, which assesses the collinearity…”
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    Conference Proceeding
  9. 9

    Selection of discriminant mid-infrared wavenumbers by combining a naïve Bayesian classifier and a genetic algorithm: Application to the evaluation of lignocellulosic biomass biodegradation by Rammal, Abbas, Perrin, Eric, Vrabie, Valeriu, Assaf, Rabih, Fenniri, Hassan

    Published in Mathematical biosciences (01-07-2017)
    “…•Combination of a Naïve Bayesian Classifier with a Genetic Algorithm.•Identification of discriminating mid-infrared spectral wavenumbers.•Application to the…”
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    Journal Article
  10. 10

    Quantification of Submillimeter Displacements by Distributed Optical Fiber Sensors by Buchoud, Edouard, Vrabie, Valeriu, Mars, Jerome I., D'Urso, Guy, Girard, Alexandre, Blairon, Sylvain, Henault, Jean-Marie

    “…The estimation of sinkhole-induced ground displacement is an important issue for monitoring soil structures. Distributed optical fiber sensors (DOFSs) composed…”
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    Journal Article
  11. 11

    Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic Algorithm by Rammal, Abbas, Perrin, Eric, Chabbert, Brigitte, Bertrand, Isabelle, Habrant, Anouck, Lecart, Brieuc, Vrabie, Valeriu

    Published in Applied spectroscopy (01-11-2015)
    “…Mid-infrared (MIR) and near-infrared (NIR) spectroscopy provide useful information on the molecular composition of biological systems. Because they are…”
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    Journal Article
  12. 12

    Monitoring and early detection of internal erosion: Distributed sensing and processing by Khan, Amir A, Vrabie, Valeriu, Beck, Yves-Laurent, Mars, Jerome I, D’Urso, Guy

    Published in Structural health monitoring (01-09-2014)
    “…Early detection of leakages in hydraulic infrastructures is important to ensure their safety and security. Significant flow of water through the dike can be an…”
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    Journal Article
  13. 13

    Source separation and distributed sensing: The key for an efficient monitoring by Mars, Jerome I., Buchoud, Edouard, Vrabie, Valeriu D., Khan, Amir Ali, Blairon, Sylvain, D'Urso, Guy

    “…As a complement to classical sensors, Distributed Optical Fiber Sensors now play a prominent role in several engineering fields and act as an antenna array…”
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    Conference Proceeding
  14. 14

    Digital Dewaxing of Raman Signals: Discrimination between Nevi and Melanoma Spectra Obtained from Paraffin-Embedded Skin Biopsies by Tfayli, Ali, Gobinet, Cyril, Vrabie, Valeriu, Huez, Regis, Manfait, Michel, Piot, Olivier

    Published in Applied spectroscopy (01-05-2009)
    “…Malignant melanoma (MM) is the most severe tumor affecting the skin and accounts for three quarters of all skin cancer deaths. Raman spectroscopy is a…”
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    Journal Article
  15. 15

    Quantification of sub-millimeter displacements caused by sinkholes, using distributed optical fiber sensors by Buchoud, Edouard, Vrabie, Valeriu, Mars, Jerome I., d'Urso, Guy, Girard, Alexandre, Blairon, Sylvain, Henault, Jean-Marie

    “…—The estimation of sinkhole-induced ground displacement is an important issue for monitoring soil structures. Distributed optical fiber sensors composed of an…”
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    Journal Article
  16. 16

    Automation of an algorithm based on fuzzy clustering for analyzing tumoral heterogeneity in human skin carcinoma tissue sections by Sebiskveradze, David, Vrabie, Valeriu, Gobinet, Cyril, Durlach, Anne, Bernard, Philippe, Ly, Elodie, Manfait, Michel, Jeannesson, Pierre, Piot, Olivier

    Published in Laboratory investigation (01-05-2011)
    “…This study aims to develop a new FT–IR spectral imaging of tumoral tissue permitting a better characterization of tumor heterogeneity and tumor/surrounding…”
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  17. 17

    Automatic Monitoring System for Singularity Detection in Dikes By DTS Data Measurement by Khan, A A, Vrabie, V, Mars, J I, Girard, A, D'Urso, G

    “…The development of automated monitoring systems for the detection of singularities, such as leakages in dikes, is indispensable to avoid mass disaster. An…”
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    Journal Article
  18. 18

    Preprocessing Methods of Raman Spectra for Source Extraction on Biomedical Samples: Application on Paraffin-Embedded Skin Biopsies by Gobinet, Cyril, Vrabie, Valeriu, Manfait, Michel, Piot, Olivier

    “…Raman spectra are classically modeled as a linear mixing of spectra of molecular constituents of the analyzed sample. Source separation methods are thus well…”
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    Journal Article
  19. 19

    A Source Separation Technique for Processing of Thermometric Data From Fiber-Optic DTS Measurements for Water Leakage Identification in Dikes by Khan, A.A., Vrabie, V., Mars, J.I., Girard, A., D'Urso, G.

    Published in IEEE sensors journal (01-07-2008)
    “…Distributed temperature sensors (DTSs) show real advantages over conventional temperature sensing technology such as low cost for long-range measurement,…”
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    Journal Article
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