Digital Signal Processing, Computational Methods and Sensor Networks for Engineering Application

Dear Colleagues,

Micro-electro-mechanical systems (MEMS) technology has undergone tremendous evolution in recent decades. The reached integration level permits us to develop sensors embedding small computational devices with fully functional storage and communication capabilities. Such hardware systems are generally constructed in order to perform some measurements and transmit the collected data as digital signals. Mobile sensor networks are capable of joining different data coming from different sources in order to gather a more complete understanding of a diagnostic context; therefore, such sensors networks provide advanced monitoring solutions. Data for such computation are usually fuzzy, and, using artificial intelligence and numerical methods, it is possible to solve many problems.

The scope of this Special Issue is focused on digital signal processing and sensor networks as well as engineering applications in all kinds of applied scientific and practical problems, such as in signal processing, engineering, physics, biology, economics, etc. The aim is to present different types of applications of soft computations, mathematical modeling and digital signal processing.

Potential topics include, but are not limited, to the following:

• Mobile sensor networks;
• Sensor networks;
• Digital signal processing in sensor networks;
• Digital signal processing;
• The optimization of processes with the use of heuristic algorithms;
• Applications of soft computation;
• Solving engineering problems with the use of an artificial intelligence, numerical methods, mathematical modeling;
• The optimal management of engineering systems;
• Hardware and software implementation.

Prof. Dr. Giacomo Capizzi
Dr. Grazia Lo Sciuto
Dr. Luca Di Nunzio
Guest Editors

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