Details
Title
Sareenet: saree texture classification via region-based patch generation with an optimized efficient Aquila networkJournal title
Opto-Electronics ReviewYearbook
2024Volume
32Issue
1Authors
Affiliation
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, IndiaKeywords
Saree texture ; classification ; patch generation ; deep learning ; efficient net ; Aquila optimizerDivisions of PAS
Nauki TechniczneCoverage
e149164Publisher
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 TechnologyDate
11.02.2024Type
ArticleIdentifier
DOI: 10.24425/opelre.2024.149164Abstracting & Indexing
Abstracting and Indexing:Arianta
BazTech
EBSCO relevant databases
EBSCO Discovery Service
SCOPUS relevant databases
ProQuest relevant databases
Clarivate Analytics relevant databases
WangFang
additionally:
ProQuesta (Ex Libris, Ulrich, Summon)
Google Scholar