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)
Published:
2026-06-03
Articles
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Machine Learning and AI for Predictive Maintenance and Grid Integration of Wind Farms
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Reaching The Pinnacle of the Digital WorldOpen Mathematical Problems in AI-Driven Robot Control
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Income Prediction Using Machine Learning
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IoT-Driven Street Lighting Optimization Using AI in Urban Areas
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Applications of Deep Learning to Cryptocurrency Trading: A Systematic Analysis
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