scholarly journals Special Issue on Modelling, Simulation and Data Analysis in Acoustical Problems

2019 ◽  
Vol 9 (23) ◽  
pp. 5261
Author(s):  
Claudio Guarnaccia ◽  
Lamberto Tronchin ◽  
Massimo Viscardi

Modelling and simulation in acoustics is gathering more and more importance nowadays [...]

Author(s):  
Frederic Ferraty ◽  
Alois Kneip ◽  
Piotr Kokoszka ◽  
Alex Petersen

2020 ◽  
Vol 5 (3) ◽  
pp. 304-307
Author(s):  
Yulei Wu ◽  
Yi Pan ◽  
Nektarios Georgalas ◽  
Geyong Min

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1851 ◽  
Author(s):  
Fabio Bovenga

This editorial of the special issue titled “Synthetic Aperture Radar (SAR) Techniques and Applications”, reviews the nineteen papers selected for publication. The proposed studies investigate different aspects of SAR processing including signal modelling, simulation, image analysis, as well as some examples of applications. The papers are grouped according to homogeneous subjects, then objectives and methods are summarised, and the more relevant results are commented.


Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1826 ◽  
Author(s):  
Wilfried van Sark

This editorial summarizes the collection of papers in the Special Issue entitled Photovoltaic System Design and Performance, which was published in MDPI’s Energies journal. Papers on this topic were submitted in 2017 and 2018, and a total of 21 papers were published. Main topics included data analysis for optimal performance and fault analysis, causes for energy loss, and design and integration issues. The papers in this Special Issue demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure maintaining good performance.


2019 ◽  
Vol 11 (14) ◽  
pp. 1714
Author(s):  
Eija Honkavaara ◽  
Konstantinos Karantzalos ◽  
Xinlian Liang ◽  
Erica Nocerino ◽  
Ilkka Pölönen ◽  
...  

This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.


2010 ◽  
Vol 9 (3) ◽  
pp. 165-166
Author(s):  
Pak Chung Wong ◽  
Jinah Park ◽  
Ming C. Hao
Keyword(s):  

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