Dergiler / Artificial Intelligence Theory and Applications
Artificial Intelligence Theory and Applications
Artificial Intelligence Theory and Applications (AITA) provides coverage of the most significant work on principles of artificial intelligence, broadly interpreted. The scope of research we cover encompasses contributions of lasting value to any area of artificial intelligence. To be accepted, a paper must be judged to be truly outstanding in its field. AITA is interested in work in core artificial intelligence and at the boundaries, both the boundaries of sub-disciplines of artificial intelligence and the boundaries between artificial intelligence and other fields. ANNOUNCEMENT: We are excited to announce a significant milestone in our journal's journey to further enhance its visibility and recognition within the academic community. Our journal has recently submitted an application for inclusion in the TRDizin Index.
2022 · Cilt: 2 - Sayı: 2
| Makale | Yazar | Sayfa |
|---|---|---|
| Diabetes Risk Prediction with Machine Learning Models | Gözde ÖZSEZER, Gülengül MERMER | 1–9 |
| Detection of Benign and Malignant Skin Cancer from Dermoscopic Images using Modified Deep Residual Learning Model | Mustafa Said KARTAL, Özlem POLAT | 10–18 |
| The Comparative Effects of Clustering Algorithms on CPU and GPU | Pınar ERSOY, Mustafa ERŞAHİN, Buket ERŞAHİN | 19–27 |
| Text2Price: Deep Learning for Price Prediction | Beyzanur SARAÇLAR, Birol KUYUMCU, Selman DELİL | 28–38 |
| Artificial Intelligence Integrated Fetal Cardiotocography Education Module | Pınar ERDOĞAN, Halil UYDURAN, Yeşim DOKUZ, Ahmet Şakir DOKUZ, Bülent ÇAKMAK | 39–50 |
| Age Detection by Deep Learning from Dental Panoramic Radiographs | Merve PARLAK BAYDOĞAN, Sümeyye COŞGUN BAYBARS, Seda ARSLAN TUNCER | 51–58 |
| Artificial Intelligence, Microbiology, and Raman Technologies | Füsun ÖZYAMAN, Özlem YILMAZ | 51–58 |