2692-4048
2770-0070
Prof. Bharat S. Rawal
D.Sc, M.Sc, M.B.A (Marketing), IEEE & EAI-SM Professor & Department Head Computer Science & Digital Technologies, Grambling State University, Louisiana, USA
Dr. Gopal Chaudhary
VIPS-TC School of Engineering and Technology, India
Continuous publication
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Managing Editor |
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Mr. A Hussain ASPG Editorial Office editorial@americaspg.com
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A publication fee of 300 USD applies to accepted manuscripts only. No fees are charged at the submission stage. The fee is applicable after final acceptance and prior to publication.
The use of content generated by artificial intelligence (AI) in an article (including but not limited to text, figures, images, and code) shall be disclosed in the acknowledgments section of any article submitted to this journal. The AI system used shall be identified, and specific sections of the article that use AI-generated content shall be identified and accompanied by a brief explanation regarding the level at which the AI system was used to generate the content.
Fusion: Practice and Applications (FPA) is an international, peer-reviewed journal dedicated to advancing research in information fusion and its practical and theoretical applications. The journal provides a platform for the dissemination of original research articles and review papers that contribute to the integration, processing, and analysis of heterogeneous data from multiple sources.
FPA emphasizes interdisciplinary approaches that combine methodologies from data science, artificial intelligence, signal processing, and decision systems to address complex real-world problems. The journal encourages contributions that advance both the theoretical foundations and practical implementations of information fusion across diverse domains.
All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.
Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.
FPA is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.
Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
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
Editorial board members
Dr. Angeles Quezada: Systems and computing department, Instituto Tecnológico de Tijuana, Mexico
Dr. Keping Yu: Waseda University, Japan
Prof. Victor Hugo C. de Albuquerque: University of Fortaleza (UNIFOR), Brazil
Dr. Ahmed Aziz: Tashkent State University of Economics, Uzbekistan
Dr. Joao Alexandre Lobo Marques: University of Saint Joseph (Macao), China
Dr. Adham Khudaykulov: Tashkent State University of Economics, Uzbekistan
Prof. Abdel-Badeeh M. Salem: Professor of Computer Science and Head of Artificial Intelligence and Knowledge Engineering Research Labs, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt
Dr. Mahmoud A. Zaher: Assistant Professor of Artificial Intelligence, Egyptian Russian University (ERU), Egypt
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
Prof. Kongratbay Avezimbetovich Sharipov: Tashkent State University of Economics, Uzbekistan
Dr. Ishtiak Al Mamoon: Assistant professor at Presidency University, Bangladesh
Dr. Waail Mahmod Lafta : School of Engineering, Griffith University, Queensland, Australia
Dr. Alireza Khalili Golmankhaneh: Islamic Azad University, Urmia Branch, Urmia, Iran
Prof. Mansur P. Eshov: Tashkent State University of Economics, Uzbekistan
Dr. Cassio Pinheiro Oliveira: Fundação Oswaldo Cruz, Brazil
Dr. Amena Mahmoud: Assistant Professor of Computer Science, Faculty of Computers and Information, KafrElSkeikh University, Egypt
Dr. Auzuir Ripardo: de Alexandria Federal Institute of Ceará, Brazil
Prof. Ali Kashif Bashir: Professor of Networks and Security, Manchester Metropolitan University, UK
Dr. Khan Muhammad: Sejong University, Republic of Korea
Prof. Irfan Mehmood: University of Bradford, UK
Dr. Said Elnaffar: Faculty of Engineering, Applied Science and Technology, Canadian University Dubai, Dubai, United Arab Emirates
Dr. Mohammed. I.alghamdi: Al-Baha University, Saudi Arabia
Prof. Gulnora Abdurakhmanova, Tashkent State University of Economics, Uzbekistan
Prof. Xiomara Patricia Blanco Valencia: Computer Science and Technology Area, Universidad Internacional de La Rioja (UNIR), Logroño, Spain
Dr. Bharat Rawal: Gannon University, Pennsylvania, USA
Dr. Saurabh Bhardwaj: Thapar Institute of Engineering and Technology, Patiala, India
Dr. Kalandar Abdurakhmanov: Russian Economic University named after G.V. Plekhanov branch in Tashkent, Tashkent, Uzbekistan
Authors are invited to submit their manuscripts through the journal’s online submission system.
Manuscripts may be prepared in any standard academic format at the initial submission stage. Compliance with a specific journal template is not required prior to peer review. Upon acceptance, manuscripts will be professionally formatted in accordance with the publisher’s publication standards. Detailed preparation instructions are provided in the Author Guidelines.
All submissions undergo an initial editorial screening followed by a rigorous double-blind peer-review process conducted by independent experts. Details of the review workflow are available in the Peer Review Process page.
Authors are required to ensure that their submissions comply with the publisher’s ethical standards. For full details, please refer to the Publication Ethics and Malpractice Statement.
