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2020 – today
- 2023
[j8]Emre Avuçlu, Ayhan Özçifçi, Abdullah Elen
:
Designing a dynamic system to control building components and computers with voice commands for disabled individuals. Multim. Tools Appl. 82(15): 22687-22704 (2023)- 2022
- [j7]Emre Avuçlu:
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis. Biomed. Signal Process. Control. 77: 103836 (2022) - [j6]Emre Avuçlu, Fatih Basçiftçi:
An interactive robot design to find missing people and inform their location by real-time face recognition system on moving images. J. Ambient Intell. Humaniz. Comput. 13(9): 4385-4396 (2022) - [j5]Abdullah Elen, Emre Avuçlu:
A hybrid machine learning model for classifying time series. Neural Comput. Appl. 34(2): 1219-1237 (2022) - 2021
- [j4]Abdullah Elen, Emre Avuçlu:
Standardized Variable Distances: A distance-based machine learning method. Appl. Soft Comput. 98: 106855 (2021) - 2020
- [j3]Emre Avuçlu, Abdullah Elen:
Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements. Medical Biol. Eng. Comput. 58(11): 2775-2788 (2020)
2010 – 2019
- 2019
- [b1]Emre Avuçlu:
Yapay zekâ ve görüntü işleme teknikleri kullanarak diş röntgen görüntülerinden kronolojik yaş tayini (Chronicological age determination from dental x-ray images by using artificial intelligence and image processing techniques). Selçuk University, Turkey, 2019 - 2018
- [j2]Emre Avuçlu, Fatih Basçiftçi:
New approaches to determine age and gender in image processing techniques using multilayer perceptron neural network. Appl. Soft Comput. 70: 157-168 (2018) - [j1]Fatih Basçiftçi, Emre Avuçlu:
An expert system design to diagnose cancer by using a new method reduced rule base. Comput. Methods Programs Biomed. 157: 113-120 (2018)
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