Abstract Submission

​ARCAIA'2024 ​Submissions of abstract  should be original work and ideas without substantial overlap with pre-published papers.

All submissions can be submitted in .DOC format through the Microsoft CMT Conference Management System, using the following link:


https://cmt3.research.microsoft.com/ARECAIA2024

​All submissions abstracts should be structured, of less than 1000 words and must include study hypothesis, type of study, materials and methods, results, a brief summary and up to five references. Abstracts may include up to two graphic attachments (i.e. tables, illustrations and pictures).

https://ijist.net/arcaia2024/

Visit website for Abstract Template​ : ​
ARCAIA'2024 Plagiarism Policy: The paper prior to submission should be checked for plagiarism. The similarity content should not exceed 20%.
​- If you encounter problems for submission send your Feedback via:
​ icist.educ@gmail.com

Poster Submission

​This is an invitation to scientists and professionals working in the fields of ARCAIA'2024 fields to submit high quality original Poster.

https://ijist.net/arcaia2024/

​Visit website for Poster Template :

Conference Publications

  • All ARCAIA'​2024 accepted abstract will be published in proceeding with ISBN number .
  • Authors of the abstracts accepted, registered, and presented at the ARCAIA'2024 Conference will be invited, after the conference, to submit an extended full paper version for peer review and possible publication in a Springer book.

Conference Topics​

​The following list of conference topics serves as a guide to the scope of the conference. However, it is important to note that the list is not limited to these topics.

  • Machine Learning Algorithms and Models
  •  Deep Learning Architectures 
  • Natural Language Processing and Understanding
  • Computer Vision and Pattern Recognition 
  • Reinforcement Learning and Decision Making 
  • AI for Healthcare an​d Biomedical 
  • Applications Robotics and Autonomous 
  • Systems AI Ethics, Bias, and Fairness 
  • Human-AI Interaction and Collaboration 
  • AI Applications in Education and E-Learning 
  • AI for Smart Cities and Urban Planning 
  • Intelligent Transportation Sys​tems 
  • AI for Environmental Monitoring and Sustainability
  • Financial Forecasting and Trading with AI
  •  AI for Cybersecurity and Threat Detection 
  • AI and Quantum Computing
  • and more...

Summer School

​Theory and Practice with Python

​Welcome to our Summer School Training Course in  AI and its Applications:

Theory :

  • Course 1: Introduction to Machine Learning : Supervised Learning
  • Course 2: Unsupervised Algorithms in Machine Learning
  • Course 3: Introduction to Deep Learning
  • Course 4: Introduction to Reinforcement Learning

Practice :

  • Machine Learning with Python
  • Choice of libraries
  • Add-on tools
  • Examples