The Journal of Soft Computing and Artificial Intelligence (JSCAI) is an open-access, peer-reviewed international journal dedicated to advancing theoretical and applied research at the intersection of soft computing methodologies and artificial intelligence systems. The journal aims to provide a scholarly platform for researchers, engineers, practitioners, and academicians to disseminate original, high-quality research that explores innovative, adaptive, and intelligent systems designed to solve complex real-world problems.

JSCAI encourages interdisciplinary contributions that integrate elements of machine learning, fuzzy logic, neural networks, evolutionary computation, probabilistic reasoning, and hybrid intelligent systems. The journal welcomes theoretical advancements, algorithm development, empirical studies, case applications, and system implementations that push the boundaries of what soft computing and AI can achieve collaboratively.

In pursuit of scientific rigor and ethical publishing, JSCAI adheres to internationally recognized guidelines for editorial quality, peer review, and research integrity. The journal seeks to foster knowledge sharing and global collaboration by promoting open science and ensuring all content is freely accessible to readers worldwide.

Scope highlights include, but are not limited to:

• Fuzzy systems and decision-making models
• Neural networks and deep learning applications
• Evolutionary computation and optimization techniques
• Hybrid intelligent systems
• Swarm intelligence and bio-inspired algorithms
• Knowledge discovery and data mining
• Natural language processing and intelligent agents
• AI in robotics, healthcare, IoT, education, and cybersecurity

JSCAI aspires to be a reputable reference for both early-career and established researchers seeking to contribute to the dynamic and impactful domain of intelligent systems.

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