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American Scientific Publishing Group

verified Journal

Fusion: Practice and Applications

ISSN
Online: 2692-4048 Print: 2770-0070
Frequency

Continuous publication

Publication Model

Open access · Articles freely available online · APC applies after acceptance

Fusion: Practice and Applications

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