Submission Guidelines
  • All papers must be original and not simultaneously submitted to another journal or conference. The author should submit full papers describing the original contribution in the enlisted topics or related to that. The paper submission are to be done only throuth Easy Chair only.

    The submissions may be of any form out of the following:

  • New algorithms with empirical, theoretical, psychological, or biological justification in the context Cloud Computing.
  • Experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems and Cloud Computing.
  • Applications of existing techniques that shed light on the strengths and weaknesses of the methods.
  • New learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks.
  • Development of new analytical frameworks that advance theoretical studies of practical learning methods.
  • Computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.
Manuscript Preparation
  1. The manuscript should be prepared in Springer format using MS WORD template. The guidelines given here may help you to prepare the manuscript. This template and guidelines can also be found in publisher’s homepage by clicking on 'Instructions for Proceedings Authors' section.

  2. Any article, not in format, will be subjected to rejection without any judgment on its quality.

  3. The articles should be own work of the authors. If any work is referred from others (or some other work by the author), proper acknowledgement should be given. Plagiarism of any type, if detected, will lead to rejection of the articles anytime.

  4. The maximum length of the camera-ready version is 8 pages (for regular) and 8 pages (for work-in progress).

Bansuri Guru Auditorium
Institute of Technical Education and Research (ITER)
Siksha 'O' Anusandhan Deemed to be University
Khandagiri Square, Bhubaneswar-751030
Odisha, India