Fusion: Practice and Applications

Aims & 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.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	22240

Journal Citation Indicator

Year	Value
2024	310

SJR (SCImago Journal Rank)

Year	Value
2024	0.184

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	14

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Forecasting NFT Prices on Web3 Blockchain Using Machine Learning to Provide SAAS NFT Collectors

  Citation: 10

  Authors:

• A Hybrid Approach for Neural Network in Pattern Storage

  Citation: 6

  Authors: Kumud, Shruti

• Crop Recommendation Using Machine Learning

  Citation: 5

  Authors: Akshita, Pragati, Priyanka, Rachna, Arun Kumar, Anurag

• Harnessing Artificial Intelligence for Enhanced Efficiency in Academic Writing and Research

  Citation: 5

  Authors: Alaa

• Enhancing Tomato Leaf Disease Detection through Generative Adversarial Networks and Genetic Algorithm based Convolutional Neural Network

  Citation: 4

  Authors: Prashant, Seema, Janjhyam Venkata Naga, Piyush Kumar, Prashant Kumar, Shraddha V.

• Weather Forecasting for Batu Pahat Using Neural Network

  Citation: 3

  Authors: Chan, Rozaida Binti, Salama A., Ali Noori, Bashar Ahmed

• Real Time Sign Recognition using YOLOv8 Object Detection Algorithm for Malayalam Sign Language

  Citation: 2

  Authors:

• Skin Lesion Classification using Deep Learning Methods

  Citation: 2

  Authors:

• A Proposed Ensemble Model of Network Intrusion Detection System for binary and Multiclassification

  Citation: 2

  Authors:

• Enhancing Stock Market Trend Prediction Using Explainable Artificial Intelligence and Multi-source Data

  Citation: 2

  Authors: Kumar, Kumar Chandar

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