MLBFN optimized with Archimedes optimization Algorithm for SRCE

The Internet of Things (IoT) and its devices have become an integral part of the people’s daily lives recently. The growing demand for intelligent applications indicates that the IoT improves regular automation and intelligent sensing, whichimproves quality of life. Datapresent in a variety of forms...

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Vydané v:	Expert systems with applications Ročník 255; s. 124529
Hlavní autori:	Kumar Kannaiah, Sathish, Sonaimuthu, Sridevi, Rama Krishnan Alangudi Balaji, Navaneetha, Seshadri Aravinth, Sinnappampatty
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2024
Predmet:	Archimedes Optimization Algorithm Hexadecimal Local Adaptive Binary Pattern Multi-Lead-Branch Fusion Network Resource Constrained Environments Structural interval gradient filtering Resource Constrained Environments Multi-Lead-Branch Fusion Network Structural interval gradient filtering Archimedes Optimization Algorithm Hexadecimal Local Adaptive Binary Pattern
ISSN:	0957-4174
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