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Recent Applications of High-Performance Computing

This special issue belongs to the section “Computing and Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

The future generation of smart settings may be powered by the Internet of Things (IoT), the Industrial  Internet of Things (IIoT), and the Internet of Medical Things (IoMT). These devices can transfer the required data through the utilization of wireless technology as well as the cloud computing infrastructure. Effective process execution necessitates both low latency and fully autonomous operations. Intelligent computerization has allowed the perspectives of artificial intelligence to improve both online and offline business operations in a reliable, secure, and consistent manner.

This Special Issue aims to provide an opportunity for academic and industry experts to share innovative research and discuss how it relates to the broader context and limitations in the subject area. Submissions are sought after that are novel, previously unpublished, and display essential research impacts from either an operational perspective or an application viewpoint.

For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Novel research on network connectivity and interoperability
  • Artificial intelligence (AI)-driven IoT system engineering
  • Urban computing
  • Autonomous, adaptive, and reconfigurable systems
  • Novel data management techniques
  • Novel data management techniques
  • Social community and service discovery method of IoT
  • Intelligent workflows for smart environments
  • Advances in blockchain
  • Prediction modeling using data, algorithms, and machine learning
  • Smart healthcare (reliable connectivity, cybersecurity, and platform scalability)
  • Green Industry 4.0
  • Pervasive analytics for intelligent systems
  • Mobile cloud computing intrusion detection systems
  • Evolutionary algorithms for mining smart-network environments for
  • decision support
  • Vehicular information systems, healthcare information systems, and other
  • such interactive applications
  • Trust, security, and privacy issues
  • Location-based services

We look forward to receiving your contributions.

Dr. Sanam Shahla Rizvi
Dr. Usman Tariq
Dr. Shafique Ahmad Chaudhry
Dr. Irfan Ahmed
Dr. Adnan Shahid Khan
Dr. Yasir Malik
Guest 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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences 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.

Keywords

  • novel research on network connectivity and interoperability
  • artificial intelligence (AI)-driven IoT system engineering
  • urban computing
  • autonomous, adaptive, and reconfigurable systems
  • novel data management techniques
  • novel data management techniques
  • social community and service discovery method of IoT
  • intelligent workflows for smart environments
  • advances in blockchain
  • prediction modeling using data, algorithms, and machine learning
  • smart healthcare (reliable connectivity, cybersecurity, and platform
  • scalability)
  • Green Industry 4.0
  • pervasive analytics for intelligent systems
  • mobile cloud computing intrusion detection systems
  • evolutionary algorithms for mining smart-network environments for
  • decision support
  • vehicular information systems, healthcare information systems, and other
  • such interactive applications
  • trust, security, and privacy issues
  • location-based services

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Appl. Sci. - ISSN 2076-3417