Machine Learning and AI for Sensors

Dear Colleagues,

We invite you to submit your latest research in the area of “Machine Learning and Artificial Intelligence Techniques Employing All Kinds of Sensory Devices”. The application domain of this topic covers a huge area; from smart devices to smart cities, from geoscience and geospatial applications to medical prognosis and treatment, and so on.

Recent Machine Learning (ML) and Artificial Intelligence (AI) advances cover areas from zero and single-shot algorithms to very deep and complex neural network algorithms for vast amounts of data.

On the other hand, advances in sensors and sensory technology (local and remote) are responsible for a profound impact on our daily life and all aspects of current industrial and technological developments. Combining the two areas creates an extremely interesting, challenging, and promising interdisciplinary area of research deploying new forefront research and development opportunities.

The aim of this Topical Collection is to focus on methods for intelligent information acquisition and extraction from imaging sensors, present the most recent advances of the scientific community, and investigate the impact of their application in a diversity of real-world problems on topics such as:

• Sensing systems and intelligence;
• Sensing systems and DM;
• Machine Learning methods for sensing systems;
• Sensing systems and IoT;
• AI and DM for smart systems;
• Smart homes and smart cities;
• Sensor based geoscience systems and applications;
• Geo-spatial AI/DM applications;
• Remote sensing applications;
• Image sensor applications;
• AI/DM using sensing systems for medical and biomedical prognosis and treatment;
• Ethical issues in the application of AI/DM methods on sensory data;
• Interpretability and explainability issues vs. AI/DM methods on sensory data;
• Intelligent data routing techniques in ad hoc/wireless sensor networks;
• Machine learning applications in IoT and smart sensors;
• Sensors in machine vision of automated systems.

Prof. Dr. Panagiotis E. Pintelas
Ass. Prof. Dr. Sotiris Kotsiantis
Dr. Ioannis E. Livieris
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.