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Information Fusion
Inform Fusion

Published/Hosted by Elsevier. ISSN: 1566-2535.

The journal is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. The journal is being groomed as the premier vehicle for disseminating information on all aspects of research and development in the field of information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome. The journal publishes original papers, letters to the Editors and from time to time invited review articles, in all areas related to the information fusion arena including, but not limited to, the following suggested topics: data, feature, decision, and multilevel fusion multilook temporal fusion multi-sensor, multi-source fusion system architectures adaptive and self-improving fusion system architectures neurophysiologically-motivated architectures and applications active, passive, and mixed sensor suites multisensor and distributed sensor system design fusion learning in imperfect, imprecise and incomplete environments intelligent techniques for fusion processing system design and algorithmic issues computational resources optimization special purpose hardware dedicated to fusion applications mining remotely sensed multi-spectral/hyper-spectral image data bases applications such as robotics, space, medicine, economics, management information systems real-world issues, such as computational demands, real-time constraints.

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