Publications

Optimizing Olive Disease Classification Through Hybrid Machine Learning and Deep Learning Techniques

AuthID
P-017-SR3

Author(s)

Mendes, J

Moso, J

Berger, GS

Lima, J

Costa, L

Guessoum, Z

Pereira, AI

Editor(s)

Pereira,AI;Fernandes,FP;Coelho,JP;Teixeira,JP;Lima,J;Pacheco,MF;Lopes,RP;Alvarez,ST

Document Type

Proceedings Paper

Year published

2024

Published

in OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2024, PT I in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 2280, Pages: 157-172 (16)

Conference

4Th International Conference on Optimization Learning Algorithms and Applications, Date: JUL 24-26, 2024, Location: Santa Cruz de Tenerife, SPAIN

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-031-77426-3_11

Scopus: 2-s2.0-85214375887

Wos: WOS:001450990400011

Source Identifiers

ISSN: 1865-0929

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Optimizing Olive Disease Classification Through Hybrid Machine Learning and Deep Learning Techniques

Useful Links

Get Help

Federated Authentication (Click on the image)

Optimizing Olive Disease Classification Through Hybrid Machine Learning and Deep Learning Techniques

Useful Links

Get Help