Enes Yigit

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Power Quality Disturbance

Visual Features

Machine Learning

Neural Classifier

Top Venues

Comput. Electron. Agric.

IEEE Trans. Instrum. Meas.

Mob. Inf. Syst.

Publications

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 (2024)
Enes Yigit, Hüseyin Duysak
Determination of Flowing Grain Moisture Contents by Machine Learning Algorithms Using Free Space Measurement Data. IEEE Trans. Instrum. Meas. 71 (2022)
Saban Öztürk, Enes Yigit, Umut Ozkaya
Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP. CoRR (2021)
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 (2021)
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 (2021)
Hüseyin Duysak, Umut Özkaya, Enes Yigit
Grain Surface Classification via Machine Learning Methods. CoRR (2020)
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 (2019)
Enes Yigit
A novel compressed sensing based quantity measurement method for grain silos. Comput. Electron. Agric. 145 (2018)
Enes Yigit, Mustafa Tekbas, Ilhami Unal, Sercan Erdogan, Cafer Çaliskan
An analysis for the use of compressed sensing method in microwave imaging. SIU (2017)
Enes Yigit, Hakan Isiker, Abdurrahim Toktas, Saibun Tjuatja
CS-based radar measurement of silos level. IGARSS (2015)