Special Issue: Mathematical models for the complexity of living systems
Guest Editors
Prof. Carlo Cattani
Engineering School, DEIM, University of Tuscia, P.le dell’Università, 01100 Viterbo, Italy
Email: cattani@unitus.it
Prof. Wanqing Song
School of Electric and Electronic Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China
Email: swqls@126.com
Prof. Francesco Villecco
Dept. of Industrial Engineering, University of Salerno, via Giovanni Paolo II 132, 84084 Fisciano, Italy
Email: fvillecco@unisa.it
Manuscript Topics
This special issue is focussing on the modern approach for modelling the complexity of living systems. Because of their complexity and due to the available large amount of data on biological system we have to face several problem of interpretation and modellization of the results. Thus, a suitable theoretical model should be compared and tested with some experimental biological data, which in turns are also complex, like e.g. by images such as CT (computerized tomography), CPET (computerized positron emission tomography), by waves and magnetic fields such as ecography , MRI and others. All these data need a suitable interpretation and the definition of a suitable theoretical model to define the biological structure, including algorithm based on neural networks and computational methods for data analysis. Moreover, the complexity of living system can be also described by some mechanical models which explore living system by using the principles of mechanics and Industrial design. To this aim we solicit prospective Authors to submit original papers mainly dealing, but not limited, to the following topics:
• Integer and fractional order dynamical systems for populations
• Image analysis for biological systems
• Mechanics and industrial design for bio-inspired systems
• Analysis of complexity for bio-systems, fractals, entropy, stochastic models, parameters of complexity, Markov models
• Neural networks for bio-systems
Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/