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Special Issue "Deep Reinforcement Learning and IoT in Intelligent System"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 7387
Special Issue Editors
Interests: artificial intelligence and deep learning; image quality assessment; image processing; information security
Special Issues, Collections and Topics in MDPI journals
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Special Issue in Sustainability: Artificial Intelligence-Driven Green Agriculture for Sustainable Development
Special Issue in Sensors: Image Processing in Sensors and Communication Systems
Interests: machine learning; autonomous vehicles; intelligent control
Special Issue Information
The rapid development of information technology is driving a new industrial revolution. More and more industrial practices have introduced artificial intelligence approaches, such as deep reinforcement learning, Internet of Things (IoT), Internet of Underwater Things (IoUT), etc. They have shown great potential and ave hbeen applied in a number of intelligent systems. For example, reinforcement learning has been applied in recommendation systems, financial transactions, intelligent transportation, path planning, and other areas. These novel algorithms and solutions based on artificial intelligence allow for new possibilities, injecting vitality into the traditional field and driving the rapid development of IOT intelligent systems. However, there are still
many open issues in these areas; for example, how should the interconnected and intelligent autonomous systems and infrastructure cooperate with humans for trustworthy joint decisions?
This Special Issue focuses on intelligent algorithms such as deep reinforcement learning and machine learning, and aims to promote the application of intelligent information technology in intelligent systems such as the IoT. We are interested in the implementation of deep reinforcement learning algorithms for applications in different intelligent systems to try to enhance the application and diffusion of intelligent technologies in modern industry by improving the robustness, adaptability, and generalizability of intelligent algorithms. This Special Issue hopes to provide a platform for researchers to share their novel research on the application, performance, and theory of intelligent algorithms.
Prof. Dr. Jiachen Yang
Dr. Dezong Zhao
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 2400 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.
- deep reinforcement learning
- machine learning
- internet of things
- intelligent system
- industrial applications
- human-autonomy-infrastructure teaming