2nd International Conference on Data Science and Artificial Intelligence (ICDSAI) 2023
24-25 April 2023
 
Conference Proceedings
ALL ACCEPTED & PRESENTED papers will be published in SCOPUS indexed PROMS.
 
Springer ICDSAI

  Submission is now open: Till March 31, 2023.Submit Now

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.

ICSDAI 2023 Call for Papers

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 2023 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.

About the Conference

ICDSAI 2023 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, 24-25 April 2023, to explore discovery, progress, and achievements related to various Data Science and artificial Intelligence.

The ICDSAI 2023 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.

Important Dates / Deadlines

  • Call For Papers                                                    December 01, 2022

  • Submission (Final Extension)                                    March 31, 2023

  • Notification of Acceptance                                       April 10, 2023

  • Early Bird Registration                                               April 13, 2023

  • Oral presentation of selected works                      April 24-25, 2023

  • Submission of full papers                                             May 30, 2023

Submission Guidelines

Papers reporting original* and unpublished research results pertaining to the related topics are solicited. *(papers with plagiarism more than 30% will be outrightly rejected)

  • Full paper manuscripts must be in English of up to 07 pages as per format.

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..

 

Presentation through Virtual Platform

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.

Acceptance & Publication

After a double-blind peer review, qualifying Regular Papers may be accepted as either Full Papers or Short Papers.

  • All accepted and presented papers of the conference will be reviewed for possible publication in SPRINGER
  • The papers must be part of the worldwide scholarly discourse in the field covered by the library. The reviews will be done to make sure papers are relevant for the chosen classifications to ensure subscribers receive relevant content.
  • NO extra fee is charged from authors for inclusion in proceedings.
  • Authors will grant a non-exclusive, revocable license that allows providing services to users.

Indexing

Post-conference, proceedings will be made available to the following indexing services for possible inclusion:

  • ISI Conference Proceedings Citation Index - ISI Web of Science
  • Google Scholar
  • Scopus
  • DBLP

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.

Conference Tracks
Data-Science
  • Data Mining
  • Real-time data management in navigation and mobility
  • Data Integrity,Data Privacy and Security
  • Data Analytics and Modeling
  • Very Large Data Systems
  • Image processing and pattern recognition
  • Energy-Efficient Data Management Techniques
  • Database and Data warehouse
  • Computer Vision and Statistical Learning
  • Machine learning for Large DataSets
  • Big Data Analytics & Computing
  • Extreme Learning Machines
  • Hybrid Intelligent Systems
Artificial Intelligence Applications in Data Science
  • Data Modeling & Semantic Engineering
  • Benefits of AI in Big Data Analytics
  • Volume Growth of AI in Metadata use and management
  • Managing Analytics of Big Data
  • High performance data mining algorithms
  • Ontologies and Knowledge sharing
  • Data Science Models and Approaches with AI
  • Hybrid Machine Learning Systems for Data Science
  • Machine Learning Recommender systems in Big Data
  • Scalable Computing Models, Theories, and Algorithms
  • Performance Evaluation Reports for Big Data Systems
  • Many-Core Computing and Accelerators
  • Analytics Reasoning and Sense-making on Big Data