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Journal Photo for IEEE Transactions on Artificial Intelligence
Peer reviewed only Open Access

IEEE Transactions on Artificial Intelligence (IEEE TAI)

Publisher : IEEE
Artificial Intelligence Computing Processing
Claim Your Journal Get PRC Visit Website
e-ISSN 2691-4581
Issue Frequency Monthly
Est. Year 2020
Mobile 61262688158
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email ieee.tai.eic@gmail.com

Journal Descriptions

The IEEE Transactions on artificial intelligence (TAI) is a multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Applications of Artificial Intelligence are also considered. The values displayed for the journal bibliometrics fields in IEEE Xplore are based on the Journal Citation Report from Clarivate from the 2022 report released in June 2023. Journal Citation Metrics Journal Citation Metrics such as Impact Factor, Eigenfactor Score™ and Article Influence Score™ are available where applicable. Each year, Journal Citation Reports© (JCR) from Thomson Reuters examines the influence and impact of scholarly research journals. JCR reveals the relationship between citing and cited journals, offering a systematic, objective means to evaluate the world's leading journals. Find out more about IEEE Journal Rankings. The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.

IEEE Transactions on Artificial Intelligence (IEEE TAI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Computing, Processing, Computer Science , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2691-4581, Established: 2020,
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, PubMed

  • Not indexed in WoS, DOAJ, UGC CARE

Indexing

Publications of IEEE TAI

A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals
Mohammad Ali Moni October, 2024
Major depressive disorder (MDD), commonly called depression, is a prevalent psychiatric condition diagnosed via questionnaire-based mental status assessments. However, this method often yiel...
Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain
Mohammad Ali Moni September, 2024
Paddy cultivation is a significant global economic sector, with rice production playing a crucial role in influencing worldwide economies. However, insects in paddy farms predominantly impac...
An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes
Mohammad Ali Moni October, 2023
The widespread impact of thyroid disease and its diagnosis is a challenging task for healthcare experts. The conventional technique for predicting such a vital disease is complex and time-...
System Neural Network: Evolution and Change Based Structure Learning
Pietro Liò June, 2022
System evolution analytics with artificial neural networks is a challenging and path-breaking direction, which could ease intelligent processes for systems that evolve over time. In this art...