Special Issue "Sensing and Analytics for Smart Complex Systems"
Deadline for manuscript submissions: 31 December 2021.
Interests: Data-driven and Sensor-based Modeling; Medical Device Manufacturing, Bio-signal and Image Processing; Predictive Analytics for Personalized Healthcare
Interests: Sensing, modeling, and monitoring of high definition profile data; Data fusion for manufacturing and healthcare system modeling and improvements
Interests: self-sustainable sensor networks for infrastructural integrity monitoring; nonlinear continuous flow modeling for real-time performance prediction of automotive assembly operations; RF sensor application for container integrity monitoring technological and economic analysis of RFID and RF sensors for tinker AFB operations; heterogeneous wireless sensor based modeling of chemical mechanical planarization process and experimentation test-bed for evaluation of RFID and RFID sensing technologies
Smart, interactive, networked multimodal sensing and imaging systems are the growing parts of complex systems in the manufacturing, energy, cyber, or health system landscape. Next-generation smart sensing systems with innovative mathematical and statistical, machine learning, AI, and deep learning methods for learning can be envisioned to harness a large volume of diverse data in real-time with high accuracy, sensitivity, selectivity, reproducibility, and interpretability. These smart sensing systems leverage the advances in sensing, imaging, and IoT systems hardware and integrate them with data-driven predictive models for learning and decision making.
This Special Issue aims to collect original manuscripts dealing with smart sensing systems and data analytic methods. These manuscripts may deal with multisensory systems with smart data analytics for quantitative analysis and predictive decision making. They may be focused on developing various pragmatic applications in manufacturing, energy, cyber systems, or healthcare.
Participants from INFORMS 2020 QSR Data Challenge are encouraged to submit manuscripts based on their data challenge solutions.
The list of potential topics includes:
- Sensing for medical image analysis and healthcare applications;
- Sensing technologies for smart cities and power grids;
- Sensing in cyberphysical systems and cybersecurity;
- Smart sensing systems;
- Sensor-based modeling and simulation;
- Multimodal sensing and action for complex situations;
- Artificial Intelligence, machine learning, deep learning, and mathematical and statistical methods for sensing data analytics;
- Novel and improved sensing applications.
Dr. Trung (Tim) Le
Dr. Weihong "Grace" Guo
Prof. Dr. Satish T.S. Bukkapatnam
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 papers will be 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 2200 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.
- sensing systems
- data analytics