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Information Fusion
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:
topics of interest
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
Multi-Sensor Management and Real-Time Applications
Adaptive And Self-Improving Fusion System Architectures
Active, Passive, And Mixed Sensor Suites
Multi-Sensor And Distributed Sensor System Design
Fusion Learning In Imperfect, Imprecise And Incomplete Environments
Intelligent Techniques For Fusion Processing
Fusion System Design And Algorithmic Issues
Fusion System Computational Resources and Demands Optimization
Special Purpose Hardware Dedicated To Fusion Applications
Mining Remotely Sensed Multi-Spectral/Hyper-Spectral Image Data Bases
Information Fusion Applications in Intrusion Detection, Network Security, Information Security and Assurance arena
Applications such as Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems
Real-World Issues such as Computational Demands, Real-Time Constraints in the context of Fusion systems.
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) — Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garcia, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera