Aim and Scope
FPA is envisioned to present the fusion practices and its development carried upon the different fields of science and technology from information fusion in pattern recognition to mathematical fusion analysis to name few. This single platform disseminates information on all facets of research and development on the grounds of fusion practices and applications. Papers with fundamental theoretical analyses and mathematical computations with fusion that cover the application to real-world problems are welcome. The journal will give keen insight into paper dealing with biometrics, its fusion, and their architectural advances. This journal also focuses on sharing recent advances in algorithms and applications of intelligent systems based on novel supervised, unsupervised, semi-supervised and reinforcement algorithms, new architectures, and applications related to intelligent systems and information fusion. The journal also envisioned the topics related to fusion in the domain of IoT, clouds, big data and cognitive learning, intelligent systems, Deep learning, and machine learning. Paper of multilevel and hybrid level fusion are also welcome. Journal prefers fusion applications in Intrusion Detection, Network Security, Information Security, Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems. Articles are expected to emphasize on fusion practices and applications.
List of covered topics
Data/Image, Feature, Decision, and Multilevel Fusion
Score level, Rank level Fusion
Multi-level/Hybrid Level Fusion
Multi-classifier/Decision Level Fusion
Multi-Sensor Fusion System Architectures
Intelligent Techniques for Fusion Processing
Fusion System Design
Fusion optimization
Fusion Score Improvement
Fusion with Deep learning models
Combining multiple models for intelligent systems
Intelligent systems for information fusion
Fusion in Robotics
Fusion in Decision-making
Data Fusion in Cloud Environment
Multimedia Data Fussion Applications
Machine Learning for Data Fusion
E-Systems data Fusion
Fuzzy approaches for Data Fusion applications
Optimization algorithms for Data Fusion
Spatial Data Fusion