International Conference on Artificial Intelligence and Knowledge Processing (AIKP’23)
Artificial Intelligence & Knowledge Processing is playing a vital role in changing most of the sectors’ processes and landscape. AI has an enormous impact on various automation industries and their functioning converting traditional industries to AI-based factories. New algorithms are changing the way business processes and results are analyzed and predicted. Knowledge processing is the act of comprehending and then representing human knowledge in data structures; semantic models, which are conceptual diagrams of data as they relate to the real world; and heuristics, which are principles that lead to answers to every AI challenge. The way how a human think, knowledge processing transforms the data into knowledge and makes the machine think like a human and makes better decisions. This makes the humans work simple, but it has some ethical concerns that need to be sorted out. This AI and knowledge processing conference addresses the drawbacks and challenges in current practices in various sectors. The research area includes Artificial Intelligence, Deep Learning, Machine Learning, Decision Support Systems, Knowledge representation, semantics, Parallel Computing, Bigdata analytics, Intelligent systems, high-performance computing, fuzzy-based neural networks and other fields.
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be submitted to Web of Science, EI Compendex (EI), Scopus for indexing.
Based on the theme and quality, selected papers will be published in Human-Centric Intelligent Systems.
https://www.springer.com/journal/44230
HCIN Best Paper Award will be awarded to the best paper published on HCIN. The best paper will be selected based on the technical quality and the review process of the initial full paper. The Award consists of a Certificate and one prize of 300 euros to the author of the Best paper.
Former Dean, Head of Decision Science, Corvinus Business School,
Budapest, Hungary & EFMD Programme Accreditation Board Member
Professor,
School of Computer Science
University of Technology Sydney, Australia
Chair, Department of Software and Data Science & Professor
Department of Software and Data Science, University of St. Thomas, MN, USA
Head of Department,
Systems & Business Analytics RMIT University, Australia
India JMT, NatWest Group
Ph.D, Research Scientist,
National Library of Medicine (NLM), National Institutes of Health (NIH), USA
Vice President & Head
Global Internal Audit [24]7.ai , India
Senior Vice President
AI Labs Course5i Private Limited
Topics of interest include (but are not limited to):
We are committed to timely evaluation and presentation/publication of fully approved papers at the Artificial Intelligence and Knowledge Processing 2023 (AIKP’23). All submissions are subjected to a rigorous review procedure in order to maintain a high-quality publication. The following are the characteristics of the blind peer-review procedure:
Authors must be truthful when reporting their study findings and conclusions. Knowledge is damaged by research malpractice. It has the potential to mislead other researchers.
(a)Research Results:Security breaches or research results from others, as well as data manipulation, misrepresentation, or biased reporting with the purpose to mislead or deceive, is unethical. The findings of research should be documented and required to file so that they can be analyzed and reviewed. The information should be stored for a reasonable time after publication and made available upon request. Exceptions may be appropriate in some cases to safeguard privacy, ensure patent protection, or for other similar reasons.
(b) Authorship:Everyone who has made a major contribution must be given the opportunity to be recognized as author. Other people who have helped with the project should also be recognized. All authors, both academic and corporate, should report a complete disclosure of their current institutional affiliations in their articles.
(c) Plagiarism:It is not allowed to plagiarize text from other papers without correctly crediting the source (plagiarism) or to publish several papers with nearly identical information by the same authors (self-plagiarism). It is unethical to submit the same results to many journals at the same time. The review articles are an exception. It is not permissible for authors to present results gained from others as if they were their own. Authors should acknowledge the work of others who have impacted the direction and course of their research and mention publications that have provided the path for their research.
(d) Duplicate Submission:Parallel presentations of the same Research Article / Manuscript to multiple Conferences / Journals are not permitted. If it is discovered that the submitted article has been duplicated elsewhere, it will be eliminated without consideration.
(e) Human and Animal Rights:If there is the usage of human subjects or human medical data in the work, the author should ensure the work described is executed in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments on humans: Clinical Trials Results, Reporting Clinical Trials, Registration of Clinical Trials- must be followed.
Chief Patrons
Patrons
Convenor
Co-Convenor
International Advisory Board Members
National Advisory Board Members
Technical Program Committee
Technical Program Chairs
Coordination Committee
Last date for submission of Abstract:
Intimation of the acceptance of Abstracts:
Last date to submit the full paper:
Intimation of the acceptance of paper:
Last date to submit the revised paper:
Mode of Conduct:
Woxsen received University status in May 2020, and it is among the first private universities of Telangana and is located on a 200-acre residential campus at Hyderabad. We have facilities on campus like Robotics Lab & AI Lab, enabling the students to become highly skilled professionals in Business Analytics and Artificial Intelligence. Woxsen offers a first of its kind MBA Program in Business Analytics, Artificial intelligence & Machine Learning. The program has been diligently designed to equip students with knowledge and skills in Business Science & Management, which dramatically enhance their ability to make informed decisions of high quality by making the most optimal use of emerging technology.