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IEEE Transactions on Artificial Intelligence (IEEE TAI)

Publisher :

IEEE

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Artificial Intelligence
  • Computing
  • Processing

    • +1

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 in - 2020, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus, PubMed

Not indexed in WoS, DOAJ, UGC CARE

Indexing

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PubMed
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Publications of IEEE TAI

Research Article
  • dott image October, 2024

A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals

Major depressive disorder (MDD), commonly called depression, is a prevalent psychiatric condition diagnosed via questionnaire-based mental status assessments. However, this method often yiel...

Research Article
  • dott image September, 2024

Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain

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...

Research Article
  • dott image October, 2023

An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes

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-...

Research Article
  • dott image Aruna Tiwari
  • dott image June, 2022

System Neural Network: Evolution and Change Based Structure Learning

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...

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