alphanumeric journal
The Journal of Operations Research, Statistics, Econometrics and Management Information Systems
Keyword
Machine Learning
2023.11.02.MIS.03
Published: 31.12.2023
Using Artificial Intelligence in the Security of Cyber Physical Systems
None
by Zeynep Gürkaş Aydın, Murat Kazanç
- Research Article
- MIS
- English
- Volume 11, Issue 2, 2023
- pp. 193-206
2023.11.02.MIS.04
Published: 31.12.2023
A Literature Review on Machine Learning in The Food Industry
None
by Furkan Açıkgöz, Leyla Zeynep Verçin, Gamze Erdoğan
- Review Article
- MIS
- English
- Volume 11, Issue 2, 2023
- pp. 207-222
2023.11.01.MIS.01
Published: 12.07.2023
Predicting The Share of Tourism Revenues In Total Exports
by Mehmet Kayakuş, Dilşad Erdoğan, Mustafa Terzioğlu
- Research Article
- MIS
- English
- Volume 11, Issue 1, 2023
- pp. 17-30
2022.10.02.MIS.02
Published: 31.12.2022
Classification of News Texts by Categories Using Machine Learning Methods
by Mehmet Kayakuş, Fatma Yiğit Açıkgöz
- Research Article
- MIS
- English
- Volume 10, Issue 2, 2022
- pp. 155-166
2019.07.02.MIS.02
Published: 31.12.2019
Classification of Historical Anatolian Coins with Machine Learning Algorithms
by Ramazan Ünlü
- Research Article
- MIS
- English
- Volume 7, Issue 2, 2019
- pp. 275-288
2019.07.01.OR.05
Published: 30.06.2019
Using Machine Learning Algorithms For Forecasting Rate of Return Product In Reverse Logistics Process
Tersine Lojistik Sürecinde İade Oranlarının Tahmini İçin Makine Öğrenme Algoritmalarının Kullanılması
by Ayşe Nur Adıgüzel Tüylü, Ergün Eroğlu
- Research Article
- OR
- English
- Volume 7, Issue 1, 2019
- pp. 143-156
Contact Us
Faculty of Transportation and Logistics, Istanbul University
Beyazit Campus 34452 Fatih/Istanbul/TURKEY
Bahadır Fatih Yıldırım, Ph.D.
editor@alphanumericjournal.com
+ 90 (212) 440 00 00 - 13219
alphanumeric journal
alphanumeric journal has been publishing as "International Peer-Reviewed Journal" every six months since 2013. alphanumeric serves as a vehicle for researchers and practitioners in the field of quantitative methods, and is enabling a process of sharing in all fields related to the operations research, statistics, econometrics and management informations systems in order to enhance the quality on a globe scale.