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SENSORS Special Issue 2022 : 'Next Generation of Secure and Resilient Healthcare Data Processing'

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Link: https://www.mdpi.com/journal/sensors/special_issues/NGSRHDP#editors
 
When Sep 9, 2021 - May 12, 2022
Where SENSORS
Submission Deadline May 12, 2022
Categories    computer science   artificial intelligence   internet of things   resilient machine learning
 

Call For Papers

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SENSORS: Special Issue "Next Generation of Secure and Resilient Healthcare Data Processing"
https://www.mdpi.com/journal/sensors/special_issues/NGSRHDP#editors
Impact Factor: 3.576 (2020); 5-Year Impact Factor: 3.735 (2020)
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The evolution of the Internet of Things (IoT) has contributed to advances in the interconnectivity, efficiency and data accessibility, improving environmental sustainability, quality of life and well-being. Recent developments in digital health technologies have led to a larger interest in wearable sensors. The successful application of these sensors hinges on the ability to interpret and elaborate on a considerable amount of heterogeneous data, that are exposed to attacks such as noise, privacy invasion, replay and false data injection attacks. The variety and complexity of these data require the provision of new models and technologies able to process and analyse them in a reliable and safe way. Resilient IoT is designed to withstand disruptions and remain functional, despite the operation of adversaries and artificial intelligence algorithms can play an increasing role in offensive and defensive measures to provide an accurate response to threats. In order to be resilient, such systems need to be able to understand what's wrong, figure out how to overcome the resulting problems, and then take what they have learned to overcome those challenges and preserve it for the future. This Special Issue will present both review and original research articles related to the processing of various sensor data, including classification, clustering, anomaly detection, resilience strategies, security and privacy.
This Special Issue covers, but is not limited to, the following topics:
• Internet of Things for healthcare;
• Data mining and knowledge discovery in healthcare;
• Machine and deep learning approaches for health data;
• Explainable AI models for health, biology, medicine and resilience;
• Resilient machine and deep learning;
• Decision support systems for healthcare and wellbeing;
• AI-based security solutions for IoT systems, smart sensors, wearables, etc.;
• Smart sensors with edge AI;
• Robust decision making for safety of healthcare systems;
• Safety and security in the future of AI.



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Manuscript Submission Information
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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.


Guest Editors
Dr. Fiammetta Marulli
Dr. Laura Verde

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