Current Issue

Vol. 1 No. 1 (2023): Theoretical and Applied Computational Intelligence
					View Vol. 1 No. 1 (2023): Theoretical and Applied Computational Intelligence
Published: 2023-08-23

Articles

  • An Implementation of Effective Machine Learning Approaches to Perform Sybil Attack Detection (SAD) in IoT Network

    Hafiz Burhan ul Haq, Muhammad Saqlain (Author)
    1-14
    DOI: https://doi.org/10.31181/taci1120232
  • Sunspot Occurrence Forecasting With Metaheuristic Optimized Recurrent Neural Networks

    Kanchana Devi V, Joseph Mani, Hotefa Shaker, Luka Jovanovic (Author)
    15-26
    DOI: https://doi.org/10.31181/taci1120231
  • Fermatean Fuzzy Aggregation Operators with Priority Degrees and their Applications

    Muhammad Gulzar (Author)
    27-48
    DOI: https://doi.org/10.31181/taci1120233
  • The Concept of Blockchain and its Application: A Review

    Hafiz Burhan Ul Haq, Minahil Irfan, Muhammad Saqlain (Author)
    49-57
    DOI: https://doi.org/10.31181/taci1120236
  • Selection of Appropriate Portfolio Optimization Strategy

    Akashdeep Das, Tinni Chaudhuri, Surupa Sinha Roy, Sanjib Biswas, Banhi Guha (Author)
    58-81
    DOI: https://doi.org/10.31181/taci1120237
  • Seizure Detection Via Time Series Classification Using Modified Metaheuristic Optimized Recurrent Networks

    Stanislava Kozakijevic, Mohamed Salb, Ali Elsadai, Joseph Mani, Kanchana Devi, Anni Dasho Sharko, Suresh Muthusamy (Author)
    82-94
    DOI: https://doi.org/10.31181/taci1120238
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Theoretical and Applied Computational Intelligence publishes high-quality scientific papers that contribute significantly to the fields of computational intelligence, meta-heuristics, optimization, soft computing, artificial intelligence, and applied mathematics. The material published is of high quality and relevance, written in a manner that makes it accessible to this wide-ranging readership. Theoretical and Applied Computational Intelligence is an international peer-reviewed journal covering the main aspects of decision-making and providing a source of information for applied scientists.

Theoretical and Applied Computational Intelligence aims at this important task by providing a venue for high-quality scientific papers that contribute significantly to the field of computational intelligence, meta-heuristics and optimization. The material published is of high quality and relevance, written in a manner that makes it accessible to a wide-ranging readership. Papers reporting original theoretical and/or practice-oriented research or extended versions of the already published conference papers are all welcome. The scope of the journal covers the whole spectrum of decision science. Papers for publication are selected through a double-blind peer-review process to ensure originality, relevance, and readability. In doing that, the objective is not only to keep the quality of published papers high but also to provide a timely, thorough, and balanced review process.

General Journal guidelines for authors

Theoretical and Applied Computational Intelligence publishes research articles, reviews, short communications, and case studies. Research articles must include: motivation for the work, an adequate overview of the representative work in the field including up-to-date references, a clear statement of the novelty in the presented research, suitable theoretical background, one or more examples to demonstrate and discuss the presented ideas and, finally, conclusions. Short communications are usually 4-7 pages long, research articles and case studies 10-20 pages, while reviews can be longer. Page number limits are not strict and, with appropriate reasoning, the submitted articles can also be longer or shorter. Authors are requested to follow the Theoretical and Applied Computational Intelligence guidelines and strictly format their manuscripts as per the article template that is available here.

If extensions of previously published conference papers are submitted, Editors will check if sufficient new material has been added to fulfill the journal standards and qualify the submission for the review process. The added material must not have been previously published. New results are desired but not necessarily required; however, the submission should contain expansions of key ideas, examples, elaborations, etc. of the conference submission.

Aims and Scope: The principal aim of the journal is to bring together the latest research and development in various fields of decision science. We would like to highlight that papers should refer to Aims and scope, but they are not limited to.

Publication Frequency: One issue per year is published online, but processed and accepted papers, with full bibliographic data, are added to the issue continuously over the whole year.

Open Access: This is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.

eISSN (Online): 3009-3325 

Publication fee: Free of charge.

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