Journal Information

IECE Transactions on Emerging Topics in Artificial Intelligence

Online ISSN: 3066-1676

Print    ISSN: 3066-1668

Publishing model:  Hybrid

DOI Prefix: 10.62762/TETAI

Aims & Scope

The IECE Transactions on Emerging Topics in Artificial Intelligence (TETAI) serves as a premier platform for disseminating cutting-edge research, methodologies, and applications in the rapidly evolving field of Artificial Intelligence (AI). The journal seeks to bridge theoretical advancements with practical implementations, fostering interdisciplinary collaborations across computer science, mathematics, cognitive science, and engineering. The journal welcomes high-quality, original contributions addressing the following areas, but not limited to:

• Foundations of AI: Theoretical models, algorithms, and frameworks that advance the understanding of AI systems.

• Machine Learning: Innovative techniques in supervised, unsupervised, semi-supervised, and reinforcement learning.

• Deep Learning and Neural Networks: Novel architectures, optimization strategies, and their applications in various domains.

• Explainable AI: Methods to enhance the interpretability and trustworthiness of AI systems.

• Natural Language Processing: Advances in language understanding, generation, and machine translation.

• Computer Vision: Cutting-edge research in object recognition, scene understanding, and visual data analysis.

• AI Ethics and Fairness: Studies addressing bias, accountability, and ethical considerations in AI deployment.

• AI in Edge Computing and IoT: Scalable AI solutions for decentralized and resource-constrained environments.

• Autonomous Systems: Innovations in robotics, self-driving cars, and AI-driven decision-making systems.

• AI Applications: Real-world implementations in healthcare, finance, education, and other sectors.

• Emerging Topics: Quantum AI, neuromorphic computing, and other groundbreaking areas reshaping the field.

Mission

The journal aims to:

Publish impactful, peer-reviewed research articles, survey papers, and technical notes. Serve as a hub for the exchange of knowledge and ideas among AI researchers, practitioners, and educators. Promote interdisciplinary approaches to solving complex AI-related challenges.

Submissions must demonstrate originality, scientific rigor, and a clear connection to advancing the state-of-the-art in Artificial Intelligence. The journal is committed to fostering open, inclusive, and diverse scientific discourse in the AI community.

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.