Fatih Demir

发表

Environmental sound classification using optimum allocation sampling based empirical mode decomposition

Abdulkadir Sengur, Varun Bajaj, Fatih Demir, 2020 .

DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach

Fatih Demir, A. Şengür, K. Demir, 2022, New Generation Computing.

DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images

Fatih Demir, 2021, Applied Soft Computing.

DeepBreastNet: A novel and robust approach for automated breast cancer detection from histopathological images

Fatih Demir, Fatih Demir, 2021, Biocybernetics and Biomedical Engineering.

Convolutional neural networks based efficient approach for classification of lung diseases

Varun Bajaj, Abdulkadir Sengür, Fatih Demir, 2019, Health Information Science and Systems.

Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure

Abdulkadir Sengur, Fatih Demir, Aras Masood Ismael, 2020, IEEE Access.

An Effective and Robust Approach Based on R-CNN+LSTM Model and NCAR Feature Selection for Ophthalmological Disease Detection from Fundus Images

Fatih Demir, Burak Taşcı, 2021, Journal of personalized medicine.

A new deep technique using R-CNN model and L1NSR feature selection for brain MRI classification

Fatih Demir, Yaman Akbulut, 2022, Biomed. Signal Process. Control..

Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data

Fatih Demir, Yaman Akbulut, Burak Taşcı, 2023, Biomed. Signal Process. Control..

A Simple and Effective Approach Based on a Multi-Level Feature Selection for Automated Parkinson’s Disease Detection

A. Şengur, Fatih Demir, Kamran Siddique, 2022, Journal of personalized medicine.

Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms

Abdulkadir Sengur, Siuly Siuly, Fatih Demir, 2020, IEEE Sensors Journal.

Detection of brain tumor with a pre-trained deep learning model based on feature selection using MR images

Fatih Demir, B. Ari, K. Demir, 2023, FIRAT UNIVERSITY JOURNAL OF EXPERIMENTAL AND COMPUTATIONAL ENGINEERING.

Feature Mapping and Deep Long Short Term Memory Network based Efficient Approach for Parkinson’s disease Diagnosis

Fatih Demir, A. Ari, A. Şengür, 2021, IEEE Access.

A New Deep CNN Model for Environmental Sound Classification

Abdulkadir Sengur, Fatih Demir, Daban Abdulsalam Abdullah, 2020, IEEE Access.

Deep autoencoder-based automated brain tumor detection from MRI data

Fatih Demir, 2022, Artificial Intelligence-Based Brain-Computer Interface.

Towards the classification of heart sounds based on convolutional deep neural network

Varun Bajaj, Kemal Polat, Abdulkadir Şengür, 2019, Health Information Science and Systems.

Surface EMG signals and deep transfer learning-based physical action classification

Sachin Taran, Fatih Demir, Abdulkadir Şengür, 2019, Neural Computing and Applications.

A new pyramidal concatenated CNN approach for environmental sound classification

Abdulkadir Sengur, Fatih Demir, Muammer Turkoglu, 2020 .

Compact Bilinear Deep Features For Environmental Sound Recognition

Abdulkadir Sengur, Björn Schuller, Nicholas Cummins, 2018, 2018 International Conference on Artificial Intelligence and Data Processing (IDAP).

Low Level Texture Features for Snore Sound Discrimination

Björn W. Schuller, Nicholas Cummins, Abdulkadir Sengür, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Mobile Health App for Adolescents: Motion Sensor Data and Deep Learning Technique to Examine the Relationship between Obesity and Walking Patterns

Eunmin Hwang, Sungchul Lee, Fatih Demir, 2022, Applied Sciences.