IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1070.html

Modeling Delayed Causal Effects in Complex Systems: Advances in Temporal Causal Analysis

Author

Listed:
  • Sree Charanreddy Pothireddi

Abstract

This comprehensive article examines the challenges and advancements in modeling delayed causal effects within complex systems. The article explores various analytical techniques, from neural approaches to automated delay discovery, highlighting their applications across industrial, healthcare, and energy sectors. The article investigates implementation considerations including data collection, model selection, and validation strategies, while examining the evolution of temporal causal analysis through emerging technologies. The article demonstrates significant improvements in prediction accuracy, process optimization, and pattern recognition through advanced temporal modeling approaches, offering valuable insights for future developments in causal AI systems.

Suggested Citation

  • Sree Charanreddy Pothireddi, 2025. "Modeling Delayed Causal Effects in Complex Systems: Advances in Temporal Causal Analysis," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 257-264, March.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1070
    DOI: 10.32628/CSEIT251112396
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112396
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT251112396
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT251112396/CSEIT251112396
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT251112396?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1070. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.