SUBMISSION

Call For Papers

  • Artificial Intelligence and Soft Computing
  • Big Data and Internet of Things Technology
  • Information Engineering and Big Data
  • Data Integration and Computational Modeling
  • Neural control
  • Wireless Sensor Network
  • Pattern Recognition and Machine Learning
  • Signal Processing and Communication
  • Computational Intelligence and Intelligent Communication
  • Industrial Artificial Intelligence
  • Cloud computing of big data
  • Information and Educational Technology
  • Mobile and Optical Networks
  • Network security
  • Artificial Intelligence and Biopharmaceuticals
  • Human-computer interaction

Submission Guidelines

We invite authors to submit their original research papers for presentation at IDSAC 2025. Please follow these guidelines to ensure a smooth submission process:

  1. Originality: Submissions must be original and not previously published or under review elsewhere.
  2. Formatting Requirements: Papers should be formatted according to the conference’s template, ensure the paper is written in clear, concise English. Papers should be at least 4 pages and the maximum length is typically 10 pages, including references, figures, and tables.
  3. Submission Process: Submit your paper through the conference’s submission system. All submissions should be in both PDF and WORD format. Include a title, abstract, keywords, and author information as required.
  4. Review Process: All papers will undergo a double-blind peer review process.
  5. Ethical Considerations: Authors must adhere to ethical standards, avoiding plagiarism and ensuring accurate citation of sources.
  6. Publication: Accepted papers will be published in the conference proceedings and indexed in EI database. At least one author must register and present the paper at the conference for inclusion in the proceedings.
  7. Contact Information: For any queries related to submissions, please contact icidsac@outlook.com.

Template Download

CN Template

en Template

2025 International Conference on IOT, Data Science and Advanced Computing

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