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Information Fusion (IF)

Publisher :

ELSEVIER SCIENCE BV

  • Computer Science
  • Information Systems
  • Computer Vision
  • +2

e-ISSN :

1872-6305

Issue Frequency :

Bi-Monthly

Impact Factor :

18.6

p-ISSN :

1566-2535

Est. Year :

2000

Country :

Netherlands The

Language:

English

APC :

YES

Journal Descriptions

The journal is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source, multi-process information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. The journal is 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/Image, Feature, Decision, and Multilevel Fusion • Multi-classifier/Decision Systems • Multi-Look Temporal Fusion • Multi-Sensor, Multi-Source Fusion System Architectures • Distributed and Wireless Sensor Networks • Higher Level Fusion Topics Including Situation Awareness And Management


Information Fusion (IF) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Information Systems, Computer Vision, Engineering, Artificial Intelligence , Online or Print, Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1566-2535, E-ISSN - 1872-6305, Established in - 2000, Impact Factor - 18.6

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

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