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Search for "pattern recognition" in Full Text gives 7 result(s) in Beilstein Journal of Nanotechnology.

Nanocarriers and macrophage interaction: from a potential hurdle to an alternative therapeutic strategy

  • Naths Grazia Sukubo,
  • Paolo Bigini and
  • Annalisa Morelli

Beilstein J. Nanotechnol. 2025, 16, 97–118, doi:10.3762/bjnano.16.10

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  • differentiated by circulating monocytes [15]. They act as the first line of defense in tissue by recognizing and engulfing pathogens and cellular debris via phagocytosis. This process is facilitated by detecting pathogen-associated molecular patterns (PAMPs) through pattern recognition receptors (PRRs) and the
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Review
Published 31 Jan 2025

A chemiresistive sensor array based on polyaniline nanocomposites and machine learning classification

  • Jiri Kroutil,
  • Alexandr Laposa,
  • Ali Ahmad,
  • Jan Voves,
  • Vojtech Povolny,
  • Ladislav Klimsa,
  • Marina Davydova and
  • Miroslav Husak

Beilstein J. Nanotechnol. 2022, 13, 411–423, doi:10.3762/bjnano.13.34

Graphical Abstract
  • data by principal component analysis to be a highly accurate method reach to 99% of the classification of six different gases. Keywords: feature extraction; gas sensor; pattern recognition; sensor array; Introduction The control and monitoring of toxic gaseous substances, such as ammonia, nitrogen
  • powerful tool to address the abovementioned drawbacks is the implementation of a multisensor array combined with appropriate pattern recognition and classification tools [6]. Recently, classification in gas sensing applications has been carried out by principal component analysis to identify the difference
  • dioxide, nitrogen dioxide, carbon monoxide, acetone, and toluene). Moreover, the obtained data were used for machine learning classification. Many pattern recognition models based on intuitive, linear and nonlinear supervised techniques have been explored in E-nose data [11][12]. A considerable number of
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Full Research Paper
Published 27 Apr 2022

Brome mosaic virus-like particles as siRNA nanocarriers for biomedical purposes

  • Alfredo Nuñez-Rivera,
  • Pierrick G. J. Fournier,
  • Danna L. Arellano,
  • Ana G. Rodriguez-Hernandez,
  • Rafael Vazquez-Duhalt and
  • Ruben D. Cadena-Nava

Beilstein J. Nanotechnol. 2020, 11, 372–382, doi:10.3762/bjnano.11.28

Graphical Abstract
  • ) under the control of an NF-κB/AP-1 inducible promoter. RAW-Blue cells can be used as pattern-recognition receptor reporter cells to assess macrophage activation. All these cells were cultured with high-glucose DMEM media (Biowest). The breast-tumor cell line 4T1 (ATCC) was derived from a spontaneously
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Published 20 Feb 2020

Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors

  • Camila A. Proença,
  • Tayane A. Freitas,
  • Thaísa A. Baldo,
  • Elsa M. Materón,
  • Flávio M. Shimizu,
  • Gabriella R. Ferreira,
  • Frederico L. F. Soares,
  • Ronaldo C. Faria and
  • Osvaldo N. Oliveira Jr.

Beilstein J. Nanotechnol. 2019, 10, 2171–2181, doi:10.3762/bjnano.10.210

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  • and PEx-sensors can be found in [32]. This type of analysis provides a map for pattern recognition among samples. It has been applied to biosensing data, mainly with IDMAP, which includes an algorithm to minimize the global error through a pairwise error function [63]. Herein, we combined the
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Published 06 Nov 2019

Improvement of the thermoelectric properties of a MoO3 monolayer through oxygen vacancies

  • Wenwen Zheng,
  • Wei Cao,
  • Ziyu Wang,
  • Huixiong Deng,
  • Jing Shi and
  • Rui Xiong

Beilstein J. Nanotechnol. 2019, 10, 2031–2038, doi:10.3762/bjnano.10.199

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  • Wenwen Zheng Wei Cao Ziyu Wang Huixiong Deng Jing Shi Rui Xiong Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan 430205, China Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of
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Published 25 Oct 2019

Adiabatic superconducting cells for ultra-low-power artificial neural networks

  • Andrey E. Schegolev,
  • Nikolay V. Klenov,
  • Igor I. Soloviev and
  • Maxim V. Tereshonok

Beilstein J. Nanotechnol. 2016, 7, 1397–1403, doi:10.3762/bjnano.7.130

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  • is non-sinusoidal and amplitudes of its higher harmonics increase with increasing inductance, lq. A sigmoid function is most suitable mathematically for the solution of the image or pattern recognition problems by means of MLP. One can provide this form of a flux-to-current transformation by
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Letter
Published 05 Oct 2016

Pt- and Pd-decorated MWCNTs for vapour and gas detection at room temperature

  • Hamdi Baccar,
  • Atef Thamri,
  • Pierrick Clément,
  • Eduard Llobet and
  • Adnane Abdelghani

Beilstein J. Nanotechnol. 2015, 6, 919–927, doi:10.3762/bjnano.6.95

Graphical Abstract
  • and FeO-decorated MWCNTs, the sensors studied here are of interest since they are unresponsive to aromatic VOCs. Therefore, by combining, for example, a Pt–MWCNT sensor with FeO-decorated or oxygen-treated MWCNT sensor in an array, and by applying standard pattern recognition methods, it would be
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Published 09 Apr 2015
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