Intelligent Engineering Methods for Smart Systems: Modeling, Vibration, Sensing, and Diagnosis

Topic Information

Dear Colleagues,

Modern engineering systems increasingly rely on the integration of mathematical modeling, computational algorithms, sensing technologies, and intelligent diagnostic methods. This Topic aims to bring together advances in analytical, numerical, and data-driven approaches for the modeling, analysis, monitoring, and diagnosis of complex engineering and bioengineering systems. Contributions may address fundamental mathematical methods, computational algorithms, vibration and dynamic system analysis, sensor-based measurement and monitoring, machine health assessment, signal processing, artificial intelligence, and intelligent fault diagnosis. The Topic aims to encourage work that connects rigorous mathematical and computational foundations with practical engineering applications, including mechanical systems, smart machines, biomedical devices, and sensor-enabled diagnostic platforms. Both theoretical developments and application-driven studies are welcome, particularly those demonstrating how mathematical and computational methods can improve system understanding, reliability, performance, monitoring, and decision-making in modern engineering contexts.

Prof. Dr. Natalie Baddour
Prof. Dr. Patrick Dumond
Prof. Dr. Juanjuan Shi
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Algorithms algorithms	2.6	5.4	2008	19.2 Days	CHF 1800	Submit
Applied Sciences applsci	2.9	6.1	2011	16 Days	CHF 2400	Submit
Electronics electronics	2.9	7.0	2012	16.4 Days	CHF 2400	Submit
Machines machines	3.0	6.1	2013	17.6 Days	CHF 2400	Submit
Mathematics mathematics	2.3	5.4	2013	17.3 Days	CHF 2600	Submit
Sensors sensors	4.0	9.4	2001	17.8 Days	CHF 2600	Submit

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