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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Veröffentlicht in:	Expert systems with applications Jg. 255; S. 124529
Hauptverfasser:	Kumar Kannaiah, Sathish, Sonaimuthu, Sridevi, Rama Krishnan Alangudi Balaji, Navaneetha, Seshadri Aravinth, Sinnappampatty
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2024
Schlagworte:	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
Online-Zugang:	Volltext
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