Fusion: Practice and Applications

Fusion: Practice and Applications (FPA) is an international, peer-reviewed journal dedicated to advancing research in information fusion and its practical and theoretical applications. The journal provides a platform for the dissemination of original research articles and review papers that contribute to the integration, processing, and analysis of heterogeneous data from multiple sources.

FPA emphasizes interdisciplinary approaches that combine methodologies from data science, artificial intelligence, signal processing, and decision systems to address complex real-world problems. The journal encourages contributions that advance both the theoretical foundations and practical implementations of information fusion across diverse domains.

All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.

Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.

FPA is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.

Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.