Enhancing the performance of extreme learning machine technique using optimization algorithms for embedded workload characterization

Enhancing the performance of extreme learning machine technique using optimization algorithms for embedded workload characterization

Embedded devices are used in many domains, including healthcare, industries, and home automation, all of which entail significant workloads. As a direct consequence, the embedded devices require retrieval and processing of data of large volume, which occupy large memory space in the embedded devices...

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Bibliographic Details
Main Authors: Shritharanyaa JP, Saravana Kumar R, Kumar C, Abdullah Alwabli, Amar Y. Jaffar, Bandar Alshawi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Alexandria Engineering Journal
Subjects:
Embedded Systems
Workload Characterization
ELM
Optimization
IoMT
EEMBC
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824008354
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