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2020 – today
- 2024
[j6]Enes Yigit, Abdullah Aksoy
, Hüseyin Duysak, Hakan Isiker:
Detection of moisture of flowing grain with a novel deep learning structure using 2D spectrogram data. Comput. Electron. Agric. 224: 109180 (2024)- 2022
- [j5]Enes Yigit, Hüseyin Duysak:
Determination of Flowing Grain Moisture Contents by Machine Learning Algorithms Using Free Space Measurement Data. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - 2021
- [j4]Enes Yigit, Umut Özkaya, Saban Öztürk, Dilbag Singh, Hassène Gritli:
Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit. Mob. Inf. Syst. 2021: 7917500:1-7917500:11 (2021) - [j3]Hüseyin Duysak, Umut Ozkaya, Enes Yigit:
Determination of the Amount of Grain in Silos With Deep Learning Methods Based on Radar Spectrogram Data. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [i2]Saban Öztürk, Enes Yigit, Umut Ozkaya:
Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP. CoRR abs/2103.09904 (2021) - 2020
- [i1]Hüseyin Duysak, Umut Özkaya, Enes Yigit:
Grain Surface Classification via Machine Learning Methods. CoRR abs/2009.12200 (2020)
2010 – 2019
- 2019
- [j2]Enes Yigit, Kadir Sabanci, Abdurrahim Toktas, Ahmet Kayabasi:
A study on visual features of leaves in plant identification using artificial intelligence techniques. Comput. Electron. Agric. 156: 369-377 (2019) - 2018
- [j1]Enes Yigit:
A novel compressed sensing based quantity measurement method for grain silos. Comput. Electron. Agric. 145: 179-186 (2018) - 2017
- [c2]Enes Yigit, Mustafa Tekbas, Ilhami Unal, Sercan Erdogan, Cafer Çaliskan:
An analysis for the use of compressed sensing method in microwave imaging. SIU 2017: 1-4 - 2015
- [c1]Enes Yigit, Hakan Isiker, Abdurrahim Toktas, Saibun Tjuatja:
CS-based radar measurement of silos level. IGARSS 2015: 3746-3749
Coauthor Index
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