The Journal of Artificial Intelligence and Data Science (JAIDA) is an international, scientific, peer-reviewed, and open-access e-journal. It is published twice a year and accepts only manuscripts written in English. The aim of JAIDA is to bring together interdisciplinary research in the fields of artificial intelligence and data science. Both fundamental and applied research are welcome. Besides regular papers, this journal also accepts research field review articles.
2021 · Cilt: 1 - Sayı: 1
| Makale | Yazar | Sayfa |
|---|
| Turkish Sentiment Analysis Using Machine Learning Methods: Application on Online Food Order Site Reviews | Özlem AKTAŞ, Berkay COŞKUNER, İlker SONER | 1–10 |
| Identification of Breast Cancer Metastasis Using Boosting Algorithms on Cytopathologic Data | Safak KAYIKCI | 11–21 |
| Fabric Defect Classification Using Combination of Deep Learning and Machine Learning | Fatma Günseli YAŞAR ÇIKLAÇANDIR, Semih UTKU, Hakan ÖZDEMİR | 22–27 |
| A Face Authentication System Using Landmark Detection | Velican ERCAN, M. Erdal ÖZBEK | 28–34 |
| A Novel Approach for Detecting Defective Expressions in Turkish | Atilla SUNCAK, Özlem AKTAŞ | 35–40 |
| Development of Android-based Internet of Things Application for Data Tracking in Smart Marble Factories | Caglar GURKAN | 41–44 |
| A Flower Status Tracker and Self Irrigation System (FloTIS) | Rumeysa KESKİN, Furkan GÜNEY, M. Erdal ÖZBEK | 45–50 |
| Turkish Character Usage in Text Classification | Ali Aycan KOLUKISA | 53–58 |
| Social Distancing Automation Software Based on Cloud | Ali Şahin DEMİR, Sevcan EMEK | 59–62 |
| Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models | Ismail AKDAG | 63–70 |
| Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis | Serap TANRIVERDİ, Levent AYDIN | 71–79 |
| Modeling and Design Optimization to Determine the Mechanical Properties of a Recent Composite | Naciye Burcu KARTAL | 80–88 |
| Modeling and optimum design for wire electrical discharge machining of γ titanium aluminide alloy | Ömer Faruk BÜYÜKYAVUZ | 89–95 |
| A Novel, Nelder-Mead Optimization Approach, based on Neuro-regression modeling for the Energy Efficiency Parameters of End Milling Process | Şeyda İŞBİLİR | 96–105 |
| Electron Beam Welding (EBW) of Aerospace Alloy (Inconel 825): Optimization and Modeling of Weld Bead Area | Gamze ÖZAKINCI, Levent AYDIN | 106–115 |