ICICDA'26

Call for Papers

The International Conference on Neural Networks, Cognitive Computing and Data Analytics (ICICDA'26) invites original research papers that present innovative ideas, approaches, and results in the fields of intelligent computing and data analytics. The conference aims to bring together researchers, practitioners, and industry experts to share their knowledge, experiences, and insights on the latest advancements in these rapidly evolving domains.

Topics of Interest

Topics of interest include, but are not limited to, the following areas:

Artificial Intelligence

  • Machine Learning Algorithms
  • Deep Learning
  • Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • AI Ethics and Fairness
  • Explainable AI
  • AI for Healthcare
  • AI for Sustainability

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

Full Research Papers

8-10 pages

Short Papers

4-6 pages

Industry Reports

4-6 pages

Papers should be submitted electronically via the conference submission system in Word format according to the conference template.

Review Process

All submitted papers will be subjected to a rigorous double-blind peer review process by at least three members of the program committee. The review criteria include:

Originality and novelty of the research
Technical soundness and methodology
Quality of presentation and organization
Relevance to the conference themes
Significance of contribution to the field

Authors of accepted papers will be invited to present their work at the conference. At least one author of each accepted paper must register for the conference and present the paper.

Publication

All accepted and presented papers will be published in the Conference Proceedings and will be submitted for inclusion in Xplore Digital Library, subject to meeting scope and quality requirements.

Selected high-quality papers will be invited for extension and publication in special issues of reputed international journals indexed in SCI/SCIE/Scopus.

Important: Papers must be original and must not have been published or submitted for publication elsewhere.

ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
DATA ANALYTICS
NEURAL NETWORKS
DEEP LEARNING
COMPUTER VISION
NATURAL LANGUAGE
INTELLIGENT SYSTEMS
IC

ICICDA'26

International Conference

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