CS-based radar measurement of silos level. - Enes Yigit; Hakan Isiker; Abdurrahim Toktas; Saibun Tjuatja (IGARSS, 2015)

An analysis for the use of compressed sensing method in microwave imaging. - Enes Yigit; Mustafa Tekbas; Ilhami Unal; Sercan Erdogan; Cafer Çaliskan (SIU, 2017)

A novel compressed sensing based quantity measurement method for grain silos. - Enes Yigit (Comput. Electron. Agric., 2018)

A study on visual features of leaves in plant identification using artificial intelligence techniques. - Enes Yigit; Kadir Sabanci; Abdurrahim Toktas; Ahmet Kayabasi (Comput. Electron. Agric., 2019)

Grain Surface Classification via Machine Learning Methods. - Hüseyin Duysak; Umut Özkaya; Enes Yigit (CoRR, 2020)

Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP. - Saban Öztürk; Enes Yigit; Umut Ozkaya (CoRR, 2021)

Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit. - Enes Yigit; Umut Özkaya; Saban Öztürk; Dilbag Singh; Hassène Gritli (Mob. Inf. Syst., 2021)

Determination of the Amount of Grain in Silos With Deep Learning Methods Based on Radar Spectrogram Data. - Hüseyin Duysak; Umut Ozkaya; Enes Yigit (IEEE Trans. Instrum. Meas., 2021)

Determination of Flowing Grain Moisture Contents by Machine Learning Algorithms Using Free Space Measurement Data. - Enes Yigit; Hüseyin Duysak (IEEE Trans. Instrum. Meas., 2022)

Detection of moisture of flowing grain with a novel deep learning structure using 2D spectrogram data. - Enes Yigit; Abdullah Aksoy; Hüseyin Duysak; Hakan Isiker (Comput. Electron. Agric., 2024)