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Call for Book Chapters
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** Quantum Computing Inspired IoT Applications **
CRC Press, Taylor & Francis Group, USA
Important Dates
- Proposal Submission: May 15, 2022*
- Proposal (Acceptance/Rejection): Within 2days of submission
- Full Chapter Submission: August 15, 2022
- Full Chapter (Acceptance/Rejection): September 10, 2022
- Complete Chapter Submission (to editors): October 1, 2022
- Submission of Chapters (to publisher): November 1, 2022
- Publication Time: Q3/2023 (estimated)
Quantum computing is viewed by many as a possible future option
for tackling these high complexity or seemingly-intractable
problems by complementing classical computing with a fundamentally
different compute paradigm. To mitigate the issues, the network
can be assembled and integrated with the quantum computing
technology. Quantum computing therefore has the potential for
speedups that are large enough to make previously-intractable
problems tractable.
Quantum computing will help organizations address big challenges
much faster than they could otherwise. Quantum computing-Inspired
IoT refers to the use of quantum computing for the computation of
machine learning algorithms with internet of things applications.
With the computational advantages of quantum computing, quantum
computing-inspired IoT can now achieve results that were not
possible with classical computers. The incredible growth in
approaching this milestone was made possible in the iterative
learning process through IoT, blockchain, neural networks, machine
learning, and deep learning methodologies.
Book co-editors intend to invite experts and successful case
participating members to contribute discussions on topics related
to performance, benchmarking, durability, robustness, as well data
gathering in IoT networks using quantum computing techniques.
* Topics
Topics include, but are not limited to, the following:
Basics of IoT, Blockchain and Quantum Computing
Quantum Computing and Blockchain base Network Security
Quantum Computing based Big Data Analytics and Machine Learning
Parallel and Distributed Computing using Quantum Computing
Use of Quantum Computing in Data Analytics Environment
Quantum Computing approach to decision making and problem solving
Deep learning based Quantum Computing for Security
Quantum Computing based business analytics
Shaping the Wireless Network using Quantum Computing
Association of Quantum Computing with Network Protocols
Computational Neuroscience and Quantum Computing
Embodying Blockchain, the Internet of Things and Quantum Computing
Routing and Security mechanisms in the IoT environment using
Quantum Computing
Empirical data and research techniques contributed to IoT using
Quantum Computing
Quantum Computing based blockchain modelling techniques by using
neural network, machine learning and deep learning
Quantum Computing oriented Applications of IoT using deep learning
technologies
* Proposal submission
A proposal for book chapter is needed from prospective authors
before the proposal *submission due date*, describing the
objective, scope and structure of the proposed chapter (no more
than 5 pages). Acceptance of chapter proposals will be
communicated to lead chapter authors after a formal double-blind
review process, to ensure relevance, quality and originality. The
submission of chapter proposals should be done via easychair
https://easychair.org/conferences/?conf=qci2a2022.
* Book Editors
Asis Kumar Tripathy, Vellore Institute of Technology, Vellore,
asistripathy@gmail.com<mailto:asistripathy@gmail.com>
Chiranji Lal Chowdhary, Vellore Institute of Technology, Vellore,
prof.chowdhary@gmail.com<mailto:prof.chowdhary@gmail.com>
Kuan-Ching Li, Providence University, Taiwan,
kuancli@gm.pu.edu.tw<mailto:kuancli@gm.pu.edu.tw>
* Additional Information
Inquiries and chapter proposal submissions can be forwarded
electronically by email, to:
Asis Kumar Tripathy
(
email-asistripathy@gmail.com<mailto:email-asistripathy@gmail.com>),
Chiranji Lal Chowdhary
(
email-prof.chowdhary@gmail.com<mailto:email-prof.chowdhary@gmail.com>),
and Kuan-Ching Li (email:
kuancli@gm.pu.edu.tw<mailto:kuancli@gm.pu.edu.tw>)
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