Soft Computing, Volume 30, Issue 2, February 2026

2026-03-02 · Source: Computational Intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Cybersecurity & Data Privacy · Depth: Expert, medium

Summary

Soft Computing, Volume 30, Issue 2, published in February 2026, presents 40 articles covering diverse applications of soft computing techniques. Key contributions include a quantum-secure lightweight fuzzy extractor for Internet of Medical Things (IoMT) user authentication, a neural network model for Bitcoin and Ethereum trading strategies, and a Persian natural language inference dataset named FarsTail. The issue also features research on intelligent homomorphic blockchain for stock market data security, a deep learning and Ethereum-based secure public distribution system, and a novel EZS-MSCA and SeLu SqueezeNet-based lung tumor detection and classification method. Other topics range from multi-objective evolutionary algorithms and fuzzy cognitive maps for time-series forecasting to vision transformer-based fuzzy semi-supervised multimodal learning for skin lesion image classification, alongside several correction notices.

Key takeaway

For researchers and practitioners exploring advanced computational methods, this volume highlights diverse applications of soft computing. You should consider integrating fuzzy logic, neural networks, and evolutionary algorithms into your projects for tasks like secure data management, financial prediction, and medical diagnostics. Pay attention to novel datasets like FarsTail for NLP development and explore blockchain for enhanced security in supply chains and financial markets.

Key insights

Soft computing methods address complex problems across diverse domains, from finance to healthcare.

Principles

• Fuzzy logic enhances decision-making under uncertainty.
• Evolutionary algorithms optimize complex multi-objective problems.

Method

Various methods are explored, including neural networks for financial forecasting, homomorphic blockchain for data security, and fuzzy logic for decision support and control systems.

In practice

• Implement neural networks for cryptocurrency trading.
• Utilize fuzzy extractors for IoMT security.
• Apply deep learning for medical image classification.

Topics

• Fuzzy Systems
• Neural Networks
• Meta-heuristic Optimization
• Cybersecurity
• AI in Medical Applications

Best for: NLP Engineer, Computer Vision Engineer, AI Researcher, AI Scientist, Research Scientist

Related on AIssential

• Soft Computing, Volume 30, Issue 1, January 2026 — This volume showcases diverse applications of soft computing, fuzzy logic, and AI across medical, financial, and logistical domains.
• Soft Computing, Volume 30, Issue 5, May 2026 — The volume showcases diverse soft computing applications, from theoretical advancements to practical engineering solutions.
• Evolutionary Two-Stage Hyperparameter Optimization Strategies for Physics-Informed Neural Networks — Evolutionary two-stage hyperparameter optimization significantly enhances PINN accuracy and robustness under fixed computational budgets.
• Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications — LUT-based 2-bit BNNs trained with GAs enable sub-50ns real-time waveform classification on FPGAs.
• Federated learning with swarm intelligence for efficient and secure medical image analysis — Swarm intelligence-enhanced federated learning improves medical image analysis accuracy and efficiency while preserving privacy.
• A Dynamic Survey of Soft Set Theory and Its Extensions — Soft set theory models uncertainty by associating subsets of a universe with parameters.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Computational Intelligence.