Deep Learning-Based System for Thermal Images
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".
Deadline for manuscript submissions: closed (25 October 2021) | Viewed by 2474
Special Issue Editors
Interests: geospacial artificial intelligence; photogrammetry; remote sensing; extended reality
Special Issues, Collections and Topics in MDPI journals
Interests: Deep Learning; Computer Vision; Geoinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
In recent years, Deep Learning algorithms have seen increasing use, gaining popularity due to their human-like competence for tasks like person recognition. Earlier research has applied these methods to work on thermal images acquired via a variety of techniques. Several aspects of the application of Deep Learning to thermal images are deserving of more study. This Special Issue seeks to provide readers with an overview and applications of deep learning and their potential applications for analysing thermal images. The Issue is devoted to original research papers on techniques, applications, and industrial case studies of the design and deployment of systems based on deep learning approaches. The focus includes all aspects of modelling, testing, and implementation for the validation and verification of deep learning systems. We seek high quality contributions of articles that advance Deep Learning along with its related. We also welcome papers about incorporation of these technologies into actual products and services. Visionary papers describing futuristic applications and domain advancements are also encouraged. Potential topics of interest include, but are not limited to, the following:
- Artificial intelligence
- Machine learning
- Deep learning
- Neural networks
- Expert systems
- Pattern recognition
- RGB image data
- Thermal Images Dataset
Dr. Roberto Pierdicca
Dr. Marina Paolanti
Guest Editors
Manuscript Submission Information
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Keywords
- Artificial intelligence
- Machine learning
- Deep learning
- Neural networks
- Expert systems
- Pattern recognition
- RGB image data
- Thermal Images Dataset
