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Books and Theses
- 2016
[b1]M. Fatih Adak:
Elektronik burun verilerinin yapay zeka tabanlı algoritmalarla sınıflandırılması (Classification of e-nose data by using artificial intelligence-based algorithms). Sakarya University, Turkey, 2016
Journal Articles
- 2024
- [j3]M. Fatih Adak
, Mustafa Akpinar, Esra Yildiz, Mehmet Köroglu, Oguz Karabay:
Prediction of Mortality in Inpatients of Covid-19 Using Statistical and Artificial Intelligence Approaches: A Case Study in Sakarya. IEEE Access 12: 134809-134821 (2024) - 2021
- [j2]Mustafa Akpinar, M. Fatih Adak, Goker Guvenc:
SVM-based anomaly detection in remote working: Intelligent software SmartRadar. Appl. Soft Comput. 109: 107457 (2021) - 2016
- [j1]M. Fatih Adak, Nejat Yumusak:
Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network. Sensors 16(3): 304 (2016)
Conference and Workshop Papers
- 2024
- [c2]Abbas Muhammad Zakariya, Muhammed Fatih Adak:
A Review on Computational Methods Based on Deep Learning and Transfer Learning Techniques for Malaria Detection. ICARA 2024: 443-447 - 2017
- [c1]M. Fatih Adak, Nejat Yumusak:
Development of smart gas sensor system to classify binary gas mixtures. EUROCON 2017: 644-648
Data and Artifacts
- 2019
- [d1]M. Fatih Adak, Peter A. Lieberzeit, Purim Jarujamrus, Nejat Yumusak:
Alcohol QCM Sensor Dataset. UCI Machine Learning Repository, 2019
Coauthor Index
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