Szczegóły

Tytuł artykułu

Sareenet: saree texture classification via region-based patch generation with an optimized efficient Aquila network

Tytuł czasopisma

Opto-Electronics Review

Rocznik

2024

Wolumin

32

Numer

1

Autorzy

Afiliacje

Ashok, Krishnan : Department of Electronics and Communication Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, India ; Priya, Dharmaraj Karthika : Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Tamilnadu, India ; Ahilan, Appathurai : Department of Electronics and Communication Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamilnadu, India ; Jayapriya, Palanisamy : Centre for Future Networks and Digital Twin, Department of Computer Science and Engineering, Sri Eshwar Engineering College, Coimbatore, Tamilnadu, India

Słowa kluczowe

Saree texture ; classification ; patch generation ; deep learning ; efficient net ; Aquila optimizer

Wydział PAN

Nauki Techniczne

Zakres

e149164

Wydawca

Polish Academy of Sciences (under the auspices of the Committee on Electronics and Telecommunication) and Association of Polish Electrical Engineers in cooperation with Military University of Technology

Data

11.02.2024

Typ

Article

Identyfikator

DOI: 10.24425/opelre.2024.149164 ; ISSN 1896-3757

Indeksowanie w bazach

Abstracting and Indexing:
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BazTech
EBSCO relevant databases
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SCOPUS relevant databases
ProQuest relevant databases
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WangFang

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ProQuesta (Ex Libris, Ulrich, Summon)
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