‌Journal Information

Frontiers in Computing Intelligence

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Publishing model:  Open Access

DOI Prefix: 10.62762/FCI

Aims & Scope

Frontiers in Computing Intelligence (FCI) is an international, peer-reviewed, open-access journal that aims to publish high-quality, innovative research in the rapidly evolving field of computing intelligence. The journal serves as a platform for disseminating cutting-edge advances in algorithms, methodologies, and applications of artificial intelligence, machine learning, and computational intelligence across diverse domains. It seeks to foster interdisciplinary research and encourage collaboration between academia, industry, and government organizations to address complex real-world challenges. The journal prioritizes contributions that advance theoretical foundations, improve computational efficiency, and demonstrate novel applications in emerging areas, such as autonomous systems, healthcare, smart cities, and sustainable technologies.

The scope of Frontiers in Computing Intelligence encompasses a wide range of topics within computing and intelligence, including but not limited to:

Artificial Intelligence (AI) and Machine Learning (ML):

• Supervised, unsupervised, and reinforcement learning

• Neural networks, deep learning, and transfer learning

• Generative AI and foundation models

• Explainable AI and ethical AI frameworks

Computational Intelligence:

• Fuzzy systems, evolutionary computation, and swarm intelligence

• Hybrid systems combining AI, machine learning, and computational intelligence techniques

• Optimization algorithms for large-scale computing problems

Big Data and Data Science:

• Data mining, predictive analytics, and pattern recognition

• Big data architectures and distributed computing frameworks

• Scalable algorithms for high-dimensional data processing

Natural Language Processing (NLP):

• Language modeling, sentiment analysis, and conversational agents

• Machine translation, text summarization, and information retrieval

• Multimodal learning with text, speech, and image integration

Computer Vision and Image Processing:

• Image recognition, object detection, and video analytics

• Computational photography and 3D scene understanding

• Vision-based robotics and autonomous systems

Emerging Technologies and Applications:

• AI applications in healthcare, finance, and education

• Intelligent systems for smart cities, IoT, and edge computing

• AI for sustainability, renewable energy, and climate change mitigation

Theoretical Foundations and Algorithm Development:

• Probabilistic modeling and statistical learning theory

• Computational complexity and algorithmic efficiency

• Advances in quantum computing for intelligence applications

Ethics, Governance, and Security in Computing Intelligence:

• Bias, fairness, and accountability in intelligent systems

• Cybersecurity, privacy, and trust in AI and computing systems

• Policy implications and societal impact of computing intelligence

Publication Frequency

Quarterly

Ownership

The journal is owned by Institute of Emerging and Computer Engineering.

Archiving

All journals published by IECE are archived in Portico, which provides permanent digital archiving for scholarly journals.

Ethics Statement

IECE is responsible for implementing rigorous peer review and strict ethical policies and standards to ensure that high quality scientific work is added to the field of scholarly publishing. IECE takes such publishing ethics issues very seriously, and our editors are trained to enforce COPE's Core Practices and Guidelines, with a zero-tolerance policy for plagiarism, data falsification, and other behaviours. To verify the originality of content submitted to our journals, we use iThenticate to check submissions against previous publications.