Fusion: Practice and Applications

Editor in Chief

Prof. Valentina E. Balas:  University of Arad, Romania

Dr. Mazin Abed MohammedUniversity of Anbar, Iraq


Frequency

Quarterly 


ISSN (Online)

2692-4048


ISSN (Print)

2770-0070


Journal DOI

https://doi.org/10.54216/FPA


Fusion: Practice and Applications (FPA) aims to provide an international forum for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of information fusion, either empirical or theoretical.

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

Managing Editor

Dr. Gopal Chaudhary

Bharati Vidyapeeth's college of engineering Paschim Vihar

PhD University of Delhi, India 

gopal.chaudhary88@gmail.com

 

Editorial board members


Dr. Angeles Quezada,

Systems and computing department

Instituto Tecnológico de Tijuana, Mexico


Dr. Keping Yu

Waseda University, Japan


Prof. Smriti Srivastava

Netaji Subhas University of Technology, New Delhi


Prof. Victor Hugo C. de Albuquerque

University of Fortaleza (UNIFOR), Brazil


Dr. Joao Alexandre Lobo Marques

University of Saint Joseph (Macao)


Dr. Abdel-Badeeh M. Salem 

Professor of Computer Science, Faculty of Computer and Information Sciences, 

Ain Shams University, Cairo, Egypt

Head of Artificial Intelligence and Knowledge Engineering Research Labs

 

Dr. Elżbieta Macioszek

Silesian University of Technology,

Faculty of Transport and Aviation Engineering, Transport Systems and Traffic Engineering Department, Poland

 

Dr. Manju Khari

Jawaharlal Nehru University, Delhi, India

 

Dr. Ishtiak Al Mamoon, 

Asst. prof. ECE , Presidency University, Bangladesh

 

 Dr. Waail Mahmod Lafta  

School of Engineering, Griffith University, Queensland, Australia


Dr. Ahmed A. Abd El-Latif, Ph. D

Menoufia university, Egypt


Dr. Alireza Khalili Golmankhaneh

Islamic Azad University, Urmia Branch, Urmia, Iran


Dr. Cassio Pinheiro Oliveira

Fundação Oswaldo Cruz, Brazil


Dr. Amena Mahmoud

Assistant Professor in Computer Science

Faculty of Computers and Information

KafrElSkeikh University, Egypt


Dr. Auzuir Ripardo de Alexandria

Federal Institute of Ceará, Brazil




 

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

 

FPA journal is using ASPG editorial system for quality in the peer-review process.  ASPG 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 online submission System via this link http://americaspg.com/login

Make sure to choose the journal name Fusion: Practices and Applications (FPA ) from the dropdown list when submitting your paper.

Then follow the steps

 

 

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

 

- GoogleScholar

 

- Microsoft Academic

 

- WorldCat