Recent Trends in Transdisciplinary Applications of Generative AI

• Vandana Sharma: Christ University, Delhi NCR Campus, India.
  Email: vandana.juyal@gmail.com

• Ajay Vikram Singh: Amity University Uttar Pradesh, India.
  Email: avsingh1@amity.edu

• Mahmoud Ahmad Al-Khasawneh, Skyline University College, UAE
• Azween Bin Abdullah, Perdana University, Malaysia
• Sérgio D. Correia, Portalegre Polytechnic University, Portugal
• Bharanidharan Shanmugam, Charles Darwin University, Australia
• Ahmed A. Elngar, Beni-Suef University, Egypt
• Anuj Kumar, Rushford Business School, Switzerland
• Kuldeep Singh Kaswan, Galgotias University, India
• Dr Nitin Pandey, Galgotias University, India
• Upinder Kaur, Akal University Talwandi Sabo, India
• Vinita Sharma, AIBS, Amity University, Noida, India

Generative AI, popularly known as GenAI is an implementation of Artificial Intelligence for generating text, images, audios, videos and other rich format files through prompts. GenAI includes two set of Generative AI such as Multimodal and Unimodal type of inputs. Here multimodal takes input as coupled type of inputs such as text or images whereas unimodal only takes input as either text or images. GenAI has huge potentials in terms of its wide range of applications based on large language model. In recent years GenAI has created vast pool of synthetic data that has helped in training large language models for improving the performance of Artificial Neural Networks. The special session invites original search papers contribute their survey papers, implementations, case studies, review articles, simulation results and development of simulation test beds for evolutionary computation, neuro evolution, generative models for data and image augmentation for real world IoT applications.

Topics to be discussed in this special session include (but are not limited to) the following:

• Generative AI Models: A Systematic Bibliometric Review
• Framework for Predicting the Novelty of Large Language Models Implementation
• The amalgamation of Artificial Intelligence and Generative Adversarial Networks (GAN) for Secure IoT
• Image Generation by Generative Artificial Intelligence
• Generative Artificial Intelligence in Finance
• Theoretical Practices and Use of Generative AI in Education
• Building of Generative AI in Spatial and Temporal Space
• Authenticity of Generative AI based Content
• Societal and Economic Effects of Generative AI

Researchers and practitioners are invited to submit papers for this special theme session on Recent Trends in Transdisciplinary Applications of Generative AI on or before September 10^th, 2024 (Extended Deadline).

All submissions must be original and may not be under review by another publication.

All papers should be submitted

electronically through the easychair submission system as mentioned below:

The paper prior to submission should be checked for plagiarism from licensed plagiarism softwares like Turnitin/iAuthenticate etc. The similarity content should not exceed 20%.

INTERESTED AUTHORS SHOULD CONSULT THE CONFERENCE’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at https://icactce-conf.com/call-for-papers-2/.

All submitted papers will be reviewed on a double-blind, peer review basis.

All the accepted papers (after double blinded peer review) will be published within the ICACTCE’24 Proceedings (SCOPUS Indexed).

NOTE: While submitting paper in this special session, please specify Recent Trends in Transdisciplinary Applications of Generative AI at the top (above paper title) of the first page of your paper.