Volume 2 , Number 2

Oct 1, 2022

7 Article

Research Article

Research Article Diabetes Risk Prediction with Machine Learning Models

Gözde Özsezer ^* , Gülengül Mermer

October 1, 2022 Page 1-9

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Research Article Detection of Benign and Malignant Skin Cancer from Dermoscopic Images using Modified Deep Residual Learning Model

Mustafa Said Kartal , Özlem Polat ^*

October 1, 2022 Page 10-18

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Research Article The Comparative Effects of Clustering Algorithms on CPU and GPU

Pınar Ersoy ^* , Mustafa Erşahin , Buket Erşahin

October 1, 2022 Page 19-27

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Research Article Text2Price: Deep Learning for Price Prediction

Beyzanur Saraçlar , Birol Kuyumcu , Selman Delil ^*

October 1, 2022 Page 28-38

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Research Article Artificial Intelligence Integrated Fetal Cardiotocography Education Module

Pınar Erdoğan ^* , Halil Uyduran , Yeşim Dokuz , Ahmet Şakir Dokuz , Bülent Çakmak

October 1, 2022 Page 39-50

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Research Article Age Detection by Deep Learning from Dental Panoramic Radiographs

Merve Parlak Baydoğan ^* , Sümeyye Coşgun Baybars , Seda Arslan Tuncer

October 1, 2022 Page 51-58

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Review Article

Review Article Artificial Intelligence, Microbiology, and Raman Technologies

Füsun Özyaman ^* , Özlem Yılmaz

October 1, 2022 Page 51-58

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The best indicator of the scope of the journal is provided by the areas covered by its Editorial Board in theoretical (artificial intelligence and computing methodologies) and practical (artificial intelligence applications and applied computing) ways. These areas change from time to time, as the field evolves.

Artificial Intelligence

Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. "Strong AI" is usually labelled as artificial general intelligence (AGI) while attempts to emulate 'natural' intelligence have been called artificial biological intelligence (ABI). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

- Automated planning and scheduling
- Computer vision
- Control methods
- Distributed artificial intelligence
- Knowledge representation and reasoning
- Natural language processing
- Search methodologies
- Theoretical Foundations of AI

Computing Methodologies

Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The focus is to publish the highest quality research in application and convergence of the areas of fuzzy logic, neural networks, evolutionary computing, rough sets and other similar techniques to address real world complexities.

- Human-centered computing
- Information systems
- Machine learning
- Modeling and simulation
- Security and privacy
- Symbolic manipulation
- Theory of computation
- Other computing methodologies (concurrent, distributed, parallel, etc.)

AI Applications and Applied Computing

Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society. More specifically, it is "Weak AI", the form of AI where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis, electronic trading platforms, robot control, and remote sensing. AI has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more. AI researchers have created many tools to solve the most difficult problems in computer science.

- Arts and humanities
- Computer forensics
- Computing technologies
- Computing/technology policy
- Document management and text processing
- Education
- Electronic commerce
- Enterprise computing
- Law, social and behavioral sciences
-Life and medical sciences
- Operations research
- Physical sciences and engineering

Policies

Open Access Policy: This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

Copyright Policy: Artificial Intelligence Theory and Applications is an open-access journal which means that all content is freely available without charge to the user or their institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author, providing the material is not used for any commercial purposes and is shared in its entire and unmodified form. Works published in AITA will be distributed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). First publication rights to original work accepted for publication is granted to AITA and authors retain the copyright to their published work.

Authors are free to use, reuse and share their articles without any embargo period, provided that the journal is acknowledged as the original venue of publication. This freedom includes, for example, posting the article in an institutional repository or publishing it in a book. Authors are also permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after the submission process and publication of the article.

Article Processing Charges Policy: Artificial Intelligence Theory and Applications is an open-access journal that does not charge authors article processing charges, submission fees, or any other kind of fee.

Editorial Policies

Ethics Policy: The publication of an article in a peer-reviewed journal is an essential building block in the development of a coherent and respected network of knowledge. It is a direct reflection of the quality of the work of the authors and the institutions that support them. Peer-reviewed articles support and embody the scientific method. It is therefore important to agree upon standards of expected ethical behaviour for all parties involved in the act of publishing: the author, the journal editor, the peer reviewer, the publisher and the society of society-owned or sponsored journals.

Publisher’s Responsibilities: The AITA is committed to the highest ethical and transparent publishing principles and guarantees full integrity and professionalism in all its editorial processes. AITA endorses the Code of Conduct established by the SFU Academic Integrity and has a zero-tolerance policy regarding plagiarism, fraudulent publication and scientific misconduct. To verify the originality of all work, all submissions are screened by section editors before being sent out for peer review. All cases of alleged unethical behaviour are taken very seriously by the publisher and an investigation will be initiated in consultation with the authors, editors and/or peer-reviewers, as appropriate. In cases of proven misconduct the publisher, in collaboration with the editors, will take all appropriate measures to amend the situation, and is always willing to publish corrections, clarifications, retractions, and apologies when needed. Below is a set of guidelines the AITA adheres to:

- All communication among the editorial team and between editors and peer reviewers and authors will take place in a clear, respectful, timely and transparent manner.

- Section Editors are the primary contact between the author and the editorial team. If copyeditors, proofreaders, or layout editors have questions for the author during the production of an article, these should be directed to the Section Editor. This minimizes confusion and miscommunication with the author.

- Members of the editorial team who wish to submit a paper to the journal will submit it directly to the Editor-in-Chief. The Editor-in-Chief will anonymize the paper and direct it through the publication process. Section Editors and/or peer reviewers will determine whether or not to accept the paper. Section Editors may not submit a paper to their own section.

- The Editor-in-Chief will remain neutral and treat all possible breaches of this Code confidentially. The Editor-in-Chief will take action against any individual(s) who do not adhere to the Code of Ethics. This may result in declining a manuscript or dismissing a peer reviewer or editor of their duties.

- Appeals may be directed to the Editorial Board for resolution.

- In the event of a dispute involving the Editor-in-Chief, the matter will be directed to the Editorial Board for resolution.

Code of Ethics for Authors:

- Authors will conduct their research in line with the best practices and regulations of their professional bodies and home institutions.

- The authors will declare any conflicts of interest.

- All authors must be named on the manuscript, and in the order in which they would like to be acknowledged, at the point of submission.

- The submission has not been previously published, nor is it before another journal for consideration.

- The author retains copyright of their work. The author will acknowledge the Partnership as the first place of publication in subsequent use, such as placement in an Institutional Repository.

- The text adheres to the stylistic and bibliographic requirements outlined in the submission guidelines.

- The author has obtained the permission of the copyright holder for the inclusion of any third party material, including images, in the text.

- There has been no falsification or fabrication of data findings.

- The paper includes no instances of plagiarism, such as verbatim copying of another’s work and submitting it as one’s own, or changing words and phrases while retaining the essential content of another’s work.

- If submitting to a peer-reviewed section of the journal, the instructions in Ensuring a blind review have been followed.

- The publication has been approved by all co-authors and responsible authorities at the organization where the work has been carried out.

- Anonymous manuscripts will not be accepted.

Code of Ethics for Peer Reviewers:

- Peer reviewers will agree to review manuscripts only for which they have the subject expertise required to carry out a proper assessment and which they can assess in a timely manner.

- They will respect the confidentiality of peer review and not reveal any details of a manuscript or its review, during or after the peer-review process, beyond those that are released by the journal.

- They will not use information obtained during the peer-review process for their own or any other person’s or organization’s advantage, or to disadvantage or discredit others.

- They will declare all potential conflicting interests, seeking advice from the journal if they are unsure whether something constitutes a relevant interest. A peer reviewer shall declare knowledge of the author if he or she detects this in the manuscript.

- They will not allow their reviews to be influenced by the origins of a manuscript, by the nationality, religious or political beliefs, gender or other characteristics of the authors, or by commercial considerations.

- They will be objective and constructive in their reviews, refraining from being hostile or inflammatory and from making libellous or derogatory personal comments.

- They will decline to review if they feel unable to provide a fair and unbiased review.

- Peer reviewers will take into consideration the ethical standards required of authors when submitting their papers. They will assess whether the paper may be plagiarized if informed consent ought to have been obtained if authors have declared competing interests, and whether there is any indication the data has been fabricated or inappropriately manipulated.

Review Process

All submitted articles to the Artificial Intelligence Theory and Applications are to undergo a double-blind peer-review process. Our review board made up of 10 experts, attempts to reflect the goal of this journal which is to bridge the gap between academics and practitioners in the fields of intelligence and security. Our review board is comprised of experts who sit within both fields of academics and practitioners. Articles that undergo review are submitted to one academic and one practitioner, ensuring both perspectives are considered. Thereafter if both are approved it will move forward with editing, otherwise, the process will repeat again.

Artificial Intelligence Theory and Applications

Oct 1, 2022

Publication Type

Research Article

Review Article

Aim & Scope

Author Guidelines

Submission Preparation Checklist

For template article, please click here

For copyright form, please click here

Ethical Principles and Publication Policy

Price Policy