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PIERS2019 Rome Focus/Special Sessions

SC1&SC5: Machine Learning Techniques for Remote Sensing and Electromagnetic Applications 1

Organized by Prof. Massimo Panella (University of Rome "La Sapienza'')

Session's Information:

This session aims at fostering scientific exchanges among researchers working in electromagnetic field and remote sensing problems, where the use of machine learning techniques can lead to innovative solutions and/or to more efficient applications. The number of expected papers in this session will be around ten. Both people engaging theoretical foundations based on computational intelligence (i.e., neural networks, fuzzy logic, evolutionary computation, deep learning, etc.) or people using such computational techniques in practical applications (i.e., pattern recognition, data regression and classification, time series prediction, inverse modeling, multi-spectral image and data processing, sensor networks, smart grids, power delivery and control, electromagnetic interference, photonics, characterization of structures and materials, and so forth) are advised to take part in this session. Current submissions are in a significant number, the session is being received a lot of attention and probably it will be split into several sessions.

Organizer's Information:

Prof. Massimo Panella University of Rome "La Sapienza'' https://sites.google.com/uniroma1.it/massimopanella-eng

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