Organic solar cells defects classification by using a new feature extraction algorithm and an EBNN with an innovative pruning algorithm-Reference-Cited by-同舟云学术

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Organic solar cells defects classification by using a new feature extraction algorithm and an EBNN with an innovative pruning algorithm

Published:2021-02-25 Issue:6 Volume:36 Page:2443-2464
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Lo Sciuto Grazia¹^ORCID,Capizzi Giacomo¹^ORCID,Shikler Rafi²^ORCID,Napoli Christian³^ORCID

Affiliation:

1. Department of Electrical Electronics and Informatics Engineering University of Catania Catania Italy

2. Department of Electrical and Computer Engineering Ben‐Gurion University of the Negev Beer‐Sheva Israel

3. Department of Computer, Automation and Management Engineering Sapienza University of Rome Rome Italy

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22386

Reference35 articles.

1. Alternative energy technologies

2. Molecular Optimization Enables over 13% Efficiency in Organic Solar Cells

3. Deep Multi-View Enhancement Hashing for Image Retrieval

4. 3D Room Layout Estimation From a Single RGB Image

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