Dergiler / Advances in Artificial Intelligence Research
The journal of Advances in Artificial Intelligence Research (AAIR) is an international and interdisciplinary scholarly open access journal. AAIR is published twice a year, free of charge, open access journal and operates an online submission with the peer review system allowing authors to submit articles online and track their progress via its web interface. Papers sent by e-mail are not accepted. The journal uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. Therefore, articles must be submitted in a form suitable for blind review; personal acknowledgements should be removed. PDF submissions should include the author's details in a separate document. Upon an initial review by Editor-in-Chief, each paper is assigned to at least two independent referees by the relevant section editor. Authors must ensure that their submitted manuscript is original, has not already been published as a whole or in substantial part elsewhere, and is not currently under consideration by any other journal. Open Access: free to download, share, and reuse content. Authors receive recognition for their contribution when the paper is reused. Rapid Publication: First decisions in 16 days and acceptance to publication in 4 days. Recognition of Reviewers: Optional signed peer review, and reviewer names published annually in the journal.
2023 · Cilt: 3 Sayı: 2
| Makale | Yazar | Sayfa |
|---|---|---|
| Creating a New Dataset for the Classification of Cyber Bullying | Çilem KOÇAK, Tuncay YİĞİT, Mehmet BİLEN | 45–53 |
| Data Center Control Application With Fuzzy Logic | Hasan YILMAZ, Adem Alpaslan ALTUN, Mehmet BİLEN | 54–65 |
| Development of a Traffic Speed Limit Sign Detection System Based on Yolov4 Network | Semih SELÇUK, Sefa BEKER, Ömer Faruk BOYRAZ | 66–75 |
| Deep Learning Ensemble Approach to Age Group Classification Based On Fingerprint Pattern | Olufunso OLORUNSOLA, Oluwaseyi OLORUNSHOLA | 76–84 |
| A Machine Learning Approach for Simultaneous Classification of Material Types and Cracks | Ömer MİNTEMUR | 85–95 |
| Analyzing the Impact of Augmentation Techniques on Deep Learning Models for Deceptive Review Detection: A Comparative Study | Anusuya KRİSHNAN, Kennedyraj MARİAFRANCİS | 96–107 |