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

Researchers are welcome to submit papers to this journal after preparing their papers according the ASPG  template (Download from here) and ethics guidelines (See this page)

FPA journal is using ASPG OJS editorial system for quality in the peer-review process.  ASPG OJS editorial system is an online manuscript submission, review and tracking systems. Review processing is performed by the editorial board members of FPA Affairs or outside experts; at least two independent reviewers approval followed by editor approval is required for acceptance of any citable manuscript. Authors may submit manuscripts and track their progress through the system, hopefully to publication. Reviewers can download manuscripts and submit their opinions to the editor. Editors can manage the whole submission/review/revise/publish process.

All submissions are subject to a strict review process, drawing upon the expertise of a range of academic and industry experts to ensure the validity and relevance of the resulting journal content. Besides, an initial review process will be conducted by the Editor in Chief before sending the paper to the reviewers. 

To submit a new paper (or to track the status of a previous submission), please log in to your account on our ASPG OJS submission System via this link http://ojs.americaspg.com/index.php/FPA/about/submissions

Then follow the steps

Also, you can submit your paper through the editorial office emails: fpa@journals.americaspg.com or  manager@americaspg.com ( please write the journal name in the Subject Line)

Fusion: Practice and Applications  is indexed in the following databases:

- Scopus ( Accepted )

- EBSCO 

- GoogleScholar

- Microsoft Academic

- WorldCat