Yavuz Selim Taspinar

Orcid: 0000-0002-7278-4241

According to our database1, Yavuz Selim Taspinar authored at least 13 papers between 2021 and 2024.

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Bibliography

2024
Distinguishing Between AI Images and Real Images with Hybrid Image Classification Methods.
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

2023
Beef Quality Classification with Reduced E-Nose Data Features According to Beef Cut Types.
Sensors, February, 2023

Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine.
Comput. Electron. Agric., 2023

Detection of Broken Eggs with Deep CNNs and Performance Analysis of Models.
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

Detection of Defects in Soybean Seeds by Extracting Deep Features with SqueezeNet.
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

2022
Acoustic Extinguisher Fire Dataset.
Dataset, April, 2022

CNN-based bi-directional and directional long-short term memory network for determination of face mask.
Biomed. Signal Process. Control., 2022

Diabetic Rethinopathy Phase Identification with Deep Features.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Flower Recognition System with Optimized Features for Deep Features.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Identification of Sheep Breeds by CNN- Based Pre-Trained Inceptionv3 Model.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Identification of Corneal Ulcers with Pre- Trained AlexNet Based on Transfer Learning.
Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

2021
Classification of rice varieties with deep learning methods.
Comput. Electron. Agric., 2021

Determining the Extinguishing Status of Fuel Flames With Sound Wave by Machine Learning Methods.
IEEE Access, 2021


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