Computer Vision, Deep Learning and Machine Learning with Applications

Dear Colleagues,

In recent years, interest toward automation, both in industrial or domestic applications, has increased with the development of new methods and with the growth of computer processing capabilities. One of the major pillars of today’s research goes beyond image processing, in the more generous concept of computer vision. Nevertheless, the latest evolutions in neural networks and machine learning have added more valences and applications to the domain, starting from industrial process control to the challenging self-driving in automotive, passing from medical imaging, information retrieval and digital forensics.

The scope of this Topical Collection is to collect the latest works in the fields of computer vision, machine learning, and deep learning and gather researchers from different areas who are struggling to solve the provoking and demanding topics proposed by the industry and an ever-changing world. Potential topics include but are not limited to:

• Image processing and applications;
• Medical imaging;
• Autonomous vehicles;
• Convolutional neural networks;
• Digital forensics;
• Smart home;
• Smart city;
• Industrial quality control.

Prof. Dr. Remus Brad
Dr. Arpad Gellert
Collection Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.