Soft Computing Fusion with Applications

Editors-in-cheif: Harish Garg
Online ISSN: 3042-1322

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About the Journal

About the Journal

Soft Computing Fusion with Applications (SCFA) is a premier international peer-reviewed journal committed to propelling innovation and excellence in the realm of soft computing and its fusion with other scientific and industrial domains. SCFA is a nexus for academics, industry professionals, and researchers worldwide to share high-quality scientific papers that explore the synergies between various soft computing techniques and their practical applications. SCFA encompasses a wide range of topics, including but not limited to evolutionary algorithms, machine learning, fuzzy sets, and their extensions, as well as their applications in areas like engineering design, data science, and intelligent systems. By connecting theoretical frameworks with real-world challenges, SCFA aims to push the boundaries of what soft computing technologies can achieve.

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Vol. 3 No. 2 (2026): Soft Computing Fusion with Applications (SCFA)

View Vol. 3 No. 2 (2026): Soft Computing Fusion with Applications (SCFA)

Published: 2026-06-03

Articles

Edge Computing and Cloud-Based Architectures for Future Electrical Telecommunications Networks Using Matlab and Python Programming

Gertrude Fischer

73-86
- Full text (PDF)
- XML
https://doi.org/10.22105/scfa.v3i2.97
Label-Efficient Active Learning on Clinical-Style Tabular Data: Uncertainty, Margin, and Committee Strategies Across Imbalance and Noise Regimes

Mahmoud Alimoradi, Awaz Ahmed Shaban, Isametova Madina Esdauletova

87-98
- Full text (PDF)
- XML
https://doi.org/10.22105/scfa.v3i2.102
Communication-Efficient Federated Rare-Pattern Mining under Non-IID Data and Privacy Constraints

Jyotsana Grover, Shakila Devi G T

99-113
- Full text (PDF)
- XML
https://doi.org/10.22105/scfa.v3i2.103
Marine Predators Algorithm for Compact Feature Selection on the Wisconsin Diagnostic Breast Cancer Benchmark

Javad Pourqasem, Bhumika Diwan, Zeinab Parandavar

114-125
- Full text (PDF)
- XML
https://doi.org/10.22105/scfa.v3i2.104

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Machine Learning and AI for Predictive Maintenance and Grid Integration of Wind Farms

Chukwuemeka Joshua Okafor, Adedayo Ayomide Adeniran, Adetayo Olaniyi Adeniran

https://doi.org/10.22105/scfa.v2i2.53

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Reaching The Pinnacle of the Digital WorldOpen Mathematical Problems in AI-Driven Robot Control

Ismail A Mageed, Hong Li

https://doi.org/10.22105/scfa.v2i2.54

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IoT-Driven Street Lighting Optimization Using AI in Urban Areas

Mannat Bhardwaj

https://doi.org/10.22105/scfa.v1i2.36

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Income Prediction Using Machine Learning

Vaishnavi Kumar

https://doi.org/10.22105/scfa.v1i3.46

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Applications of Deep Learning to Cryptocurrency Trading: A Systematic Analysis

Saeid Ataei, Seyyed Taghi Ataei, Parisa Omidmand, Hoora Hajian Karahroodi, Pegah Nikzat

https://doi.org/10.22105/scfa.vi.77

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