Special Issue "Recent Advances in Fractional Calculus Applied to Complex Engineering Phenomena"

Submission Deadline: 31 May 2021
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Guest Editors
Prof. Dumitru Baleanu, Cankaya University, Romania.
Dr. Sunil Kumar, National Institute of Technology, India.
Prof. Carlo Cattani, Tuscia University, Italy.
Dr. Carla M. A. Pinto, School of Engineering of the Polytechnic of Porto, Portugal.

Summary

In the past few decades, fractional derivatives have been recognized as powerful modelling and simulation tools for mechanical engineering problems. Many physical laws are expressed more accurately in terms of differential equations of arbitrary order.  In this Special Issue, we kindly invite researchers to present their original work in the area of fractional differential equations as models of complex engineering problems. These works may bring new theories, development of numerical methods, and applications. All research articles should fit the scope of the journal Computers, Materials & Continua, and topics of interests include (but are not limited to):

· Mathematical modelling of complex engineering problems using fractional differential

equations

· Artificial intelligence and data analysis within fractional calculus methods and techniques

· Advanced analytical and numerical methods for fractional differential equations

· Real world applications of fractional models in engineering

· Mathematical modeling of engineering fractional dynamic systems

· Computational and numerical methodologies for fractional differential equations with engineering meaning


Keywords
Fractional dynamics;Fractional modelling of complex engineering problems; Non-local analytical and numerical methods;Artificial intelligence;Data analysis.

Published Papers
  • Fractional Rényi Entropy Image Enhancement for Deep Segmentation of Kidney MRI
  • Abstract Recently, many rapid developments in digital medical imaging have made further contributions to health care systems. The segmentation of regions of interest in medical images plays a vital role in assisting doctors with their medical diagnoses. Many factors like image contrast and quality affect the result of image segmentation. Due to that, image contrast remains a challenging problem for image segmentation. This study presents a new image enhancement model based on fractional Rényi entropy for the segmentation of kidney MRI scans. The proposed work consists of two stages: enhancement by fractional Rényi entropy, and MRI Kidney deep segmentation. The proposed… More
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