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Detection of Influential nodes using Hybrid Deep learning methods in IIOT environment Cover

Detection of Influential nodes using Hybrid Deep learning methods in IIOT environment

Journal of Smart Internet of Things
Volume 2024 (2024): Issue 2 (December 2024)
By: Lakshmi Patil and  Ahmed A. Elngar  
Open Access
|Feb 2025

Figures & Tables

Figure 1:

Proposed architecture
Proposed architecture

Figure 2:

Beluga Whale optimization
Beluga Whale optimization

Figure 3:

Flowchart of the optimization
Flowchart of the optimization

Figure 5:

Performance metrics comparsion of different approach
Performance metrics comparsion of different approach

Figure 6:

Convergence Analysis comparsion of different approach
Convergence Analysis comparsion of different approach

j_jsiot-2024-0009_utab_001

SL.NOPerformance MeasuresExpression
1AccuracyTP+TNTP+TN+FP+FN
2RecallTPTP+FN×100
3SpecificityTNTN+FP
4PrecisionTNTP+FP
5F1-Score2.  Precison * Recall  Precision + Recall 
DOI: https://doi.org/10.2478/jsiot-2024-0016 | Journal eISSN: 2956-8323
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Language: English
Page range: 120 - 132
Submitted on: Sep 10, 2024
Accepted on: Oct 19, 2024
Published on: Feb 24, 2025
Published by: Future Sciences For Digital Publishing
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Beluga Whale Optimization Algorithm,
Long Short-Term Memory,
IIoT-driven sectors
Related subjects:
Engineering,
Introductions and overviews,
History of engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Electronics,
Information technology

© 2025 Lakshmi Patil, Ahmed A. Elngar, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.

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