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Vkonex AI Research
Indian Institute Of Technology, Patna
National Institute of Industrial Engineering (NITIE) Mumbai
CSUSB, USA
With the intriguing development of technologies in several industries along with the advent of ac-crescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative computational technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational techniques with traditional computing methods has attracted researchers and academicians to focus on developing innovative computational techniques. In the near future, computational techniques may provide underlying solutions by effectively using evolving technologies such as computer vision, Natural Language Processing, Deep Learning, Machine learning, scientific computing, and computational vision. As the huge number of intelligent computational algorithms are emerging along with the increasing computational power have significantly extended the potential of developing various intelligent applications.
The ICDSAI 2022 aims to bridge the gap between these non-coherent disciplines of data science and foster unified development in next-generation computational models for artificial intelligence.
Please consider submitting your works to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.
ICDSAI 2022 aims to provide a forum for researchers from both academia and industry to share their latest research contributions, future vision in the field and potential impact across industries of Data Science and artificial Intelligence.
Join us, 23-24 April 2022, to explore discovery, progress, and achievements related to various Data Science and artificial Intelligence.
The ICDSAI 2022 will provide its attendees with an uncommon opportunity to expand their network beyond their immediate professional environment. It is a unique chance to work with other accomplished individuals from diverse areas towards the common goal of shaping the future of communication, computing and society.
Papers reporting original* and unpublished research results pertaining to the related topics are solicited. *(papers with plagiarism more than 30% will be outrightly rejected)
For authors convenience, Springer has summarized in the Author Guidelines document how a proceedings paper should be structured, how elements (headings, figures, references) should be formatted using our predefined styles, etc. The PDF of the Authors Guidelines can be downloaded from the given link or as part of the zip files containing the complete sets of instructions and templates for the different text preparation systems.
Springer has developed LaTeX style files and Word templates to help prepare paper. LaTeX is the preferred format for texts containing several formulae, but Word templates are also available on the following link:
https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines
Submissions should NOT include the author(s), affiliation(s), e-mail address(es), and postal address(es) in the manuscripts. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted.
The ONLINE submission site is
Click here, to submit..
Amid prevailing conditions due to COVID19, a virtual meeting platform may be made available for all registered authors who intend to submit their work but are unable to attend the conference. Authors may register and present their paper through the virtual platform.
Authors shall be sent a Certificate of Participation, Conference Proceedings link and relevant literature by mail.
After a double-blind peer review, qualifying Regular Papers may be accepted as either Full Papers or Short Papers.
Post-conference, proceedings will be made available to the following indexing services for possible inclusion:
Depending on the focus of the particular indexing services, they may decide to include or not. If included one can expect it in 15-18 months. DBLP and Google Scholar are fast.