5th International Conference on Intelligent Computing and Communication (ICICC-2021)

26th & 27th November 2021

Organized by Department of Computer Science and Engineering School of Engineering, Dayananda Sagar University, Bengaluru, India
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Call for Papers

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Theme of the conference

The objective of ICICC 2021 is to provide a platform for academicians, researchers, scientists, professionals, and students to share their knowledge and expertise in the field of Intelligent Computing, Communication, and Convergence, as well as to address a variety of issues in order to raise awareness of technological innovations and to identify challenges and opportunities for the development of smart cities using multidisciplinary approaches. The aim of this conference is to provide a unified forum for advanced, multi-disciplinary research on smart computing and informatics design. On a larger scale, the theme focuses on numerous innovation paradigms in system knowledge, intelligence, and sustainability that can be used to deliver practical solutions to a wide range of challenges in society, the environment, and industry.

Scope and Interests

For its research track, ICICC-2021 invites original, high-quality papers addressing the following topics. All submissions will be subject to plagiarism check. We strongly encourage papers that report experimental work and results. Use of public data sets and repeatability of experiments, well-written papers high lighting the contributions, novel approaches for different computing platforms, are a few important parameters used for research quality assessment.

Submissions of high-quality papers is expected in all areas of Data Engineering, Intelligent Computing, Computer Communication, Networking and IoT.

Submitted papers should neither be previously published nor under consideration for publication elsewhere. All papers will be refereed through a peer review process.

All ICICC-2021 registered and presented papers will be published in conference proceedings by Springer Lecture Notes in Networks and Systems (LNNS) Series and will be available online on Springerlink.

Springer LNNS Series is indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in the Web of Science.

More information available in Submission Guidelines page