A Deep Transfer Learning Approach to an Effective Classification of Water Pollutants From Voltammetric Characterizations-Reference-Cited by-同舟云学术

A Deep Transfer Learning Approach to an Effective Classification of Water Pollutants From Voltammetric Characterizations

Published:2022-06-14 Issue: Volume: Page:
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Container-title:2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)
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Author:

Molinara M.¹,Ferrigno L.¹,Maffucci A.¹,Kuzhir P.²,Cancelliere R.³,Tinno A.Di³,Micheli L.³,Shuba M.⁴

Affiliation:

1. Univ. of Cassino and S.L.,Dept. of Electrical and Information Engineering,Cassino,Italy

2. Institute of Photonics, Univ. of Eastern Finland,Joensuu,Finland

3. Univ. of Rome “Tor Vergata”,Dept. of Chemical Science and Techn.,Rome,Italy

4. Inst. for Nuclear Problems Belarusian State University,Minsk,Belarus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842860/9842863/09842896.pdf?arnumber=9842896

Reference21 articles.

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4. Deep learning;lecun;Nature,2015

5. A Survey on Deep Transfer Learning

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