UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

In vitro temperature sensing with up-conversion NaYF4:Yb3+/Tm3+-based nanocomposites: Peculiarities and pitfalls

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2020-11, Vol.241, p.118627, Article 118627

2020

Volltextzugriff (PDF)

A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks

Nanomedicine, 2018-06, Vol.14 (4), p.1371-1380

2018

Volltextzugriff (PDF)

Machine learning algorithms to control concentrations of carbon nanocomplexes in a biological medium via optical absorption spectroscopy: how to choose and what to expect?

Applied optics (2004), 2021-09, Vol.60 (27), p.8291

2021

Volltextzugriff (PDF)

Monitoring of nanodiamonds in human urine using artificial neural networks

Physica status solidi. A, Applications and materials science, 2016-10, Vol.213 (10), p.2614-2622

2016

Volltextzugriff (PDF)

Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution⁎⁎This study has been performed at the expense of Russian Science Foundation, grant no. 14-11-00579

Procedia computer science, 2018, Vol.123, p.177-182

2018

Volltextzugriff (PDF)

Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body

Procedia computer science, 2018, Vol.145, p.177-183

2018

Volltextzugriff (PDF)

An Inverse Problem Involving Integration of Optical Spectroscopic Methods: Study of Influence of Feature Selection on Resilience of Neural Network Solution to Noise in Data

Advances in Neural Computation, Machine Learning, and Cognitive Research V, 2021, Vol.1008, p.344-351

2021

Volltextzugriff (PDF)

Feature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods

Advances in Neural Computation, Machine Learning, and Cognitive Research IV, 2020, Vol.925, p.234-241

2020

Volltextzugriff (PDF)

Neural Network Classification Method for Solution of the Problem of Monitoring Theremoval of the Theranostics Nanocomposites from an Organism

Biologically Inspired Cognitive Architectures (BICA) for Young Scientists, 2018, p.173-179

2018

Volltextzugriff (PDF)

Carbon nanosensors and machine learning algorithms for simultaneous measurement of pH and temperature of aqueous media

2021 International Conference on Information Technology and Nanotechnology (ITNT), 2021, p.1-6

2021

Volltextzugriff (PDF)

In vitro temperature sensing with up-conversion NaYF 4 :Yb 3+ /Tm 3+ -based nanocomposites: Peculiarities and pitfalls

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2020-11, Vol.241, p.118627

2020

Volltextzugriff (PDF)

Applications of Fluorescence Spectroscopy and Machine Learning Methods for Monitoring Elimination of Carbon Nanoagents from the Body

SSRN Electronic Journal

Volltextzugriff (PDF)

Associations of Genetic Polymorphisms and Neuroimmune Markers With Some Parameters of Frontal Lobe Dysfunction in Schizophrenia

Frontiers in psychiatry, 2021-05, Vol.12, p.655178-655178

2021

Volltextzugriff (PDF)

1 – 13 von 13

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(9)
Mit Volltextzugriff
(9)

Publikationsform

Sprache

Englisch
(13)

Erscheinungsjahr

n.n

Zeitschrift / Serie

3 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

In vitro temperature sensing with up-conversion NaYF4:Yb3+/Tm3+-based nanocomposites: Peculiarities and pitfalls

A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks

Machine learning algorithms to control concentrations of carbon nanocomplexes in a biological medium via optical absorption spectroscopy: how to choose and what to expect?

Monitoring of nanodiamonds in human urine using artificial neural networks

Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution⁎⁎This study has been performed at the expense of Russian Science Foundation, grant no. 14-11-00579

Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body

An Inverse Problem Involving Integration of Optical Spectroscopic Methods: Study of Influence of Feature Selection on Resilience of Neural Network Solution to Noise in Data

Feature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods

Neural Network Classification Method for Solution of the Problem of Monitoring Theremoval of the Theranostics Nanocomposites from an Organism

Carbon nanosensors and machine learning algorithms for simultaneous measurement of pH and temperature of aqueous media

In vitro temperature sensing with up-conversion NaYF 4 :Yb 3+ /Tm 3+ -based nanocomposites: Peculiarities and pitfalls

Applications of Fluorescence Spectroscopy and Machine Learning Methods for Monitoring Elimination of Carbon Nanoagents from the Body

Associations of Genetic Polymorphisms and Neuroimmune Markers With Some Parameters of Frontal Lobe Dysfunction in Schizophrenia

Suchergebnisse filtern