Abdulkadir Sengür

Orcid: 0000-0003-1614-2639

According to our database1, Abdulkadir Sengür authored at least 106 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A new hybrid approach for grapevine leaves recognition based on ESRGAN data augmentation and GASVM feature selection.
Neural Comput. Appl., May, 2024

Swin transformer-based fork architecture for automated breast tumor classification.
Expert Syst. Appl., 2024

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023).
Comput. Methods Programs Biomed., 2024

Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm.
IEEE Access, 2024

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation.
IEEE Access, 2024

Detection of Autism Spectrum Disorders from EEG Signals using Multi-Input One-Dimensional Convolutional Neural Networks.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

Accurate Segmentation of Brain Tumors in Magnetic Resonance Images with Pyramid Stage Decomposition Network Approach.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023
A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content.
Remote. Sens., December, 2023

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals.
Health Inf. Sci. Syst., December, 2023

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals.
Sensors, August, 2023

Multilevel image thresholding based on Renyi's entropy and golden sinus algorithm II.
Neural Comput. Appl., August, 2023

Application of novel DIRF feature selection algorithm for automated brain disease detection.
Biomed. Signal Process. Control., August, 2023

An adaptive multilevel thresholding method with chaotically-enhanced Rao algorithm.
Multim. Tools Appl., March, 2023

SPA-IDS: An intelligent intrusion detection system based on vertical mode decomposition and iterative feature selection in computer networks.
Microprocess. Microsystems, February, 2023

An automated internet of behavior detection method based on feature selection and multiple pooling using network data.
Multim. Tools Appl., 2023

2022
Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features.
Neural Process. Lett., 2022

DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach.
New Gener. Comput., 2022

Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests.
J. Ambient Intell. Humaniz. Comput., 2022

COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.
Health Inf. Sci. Syst., 2022

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset.
Health Inf. Sci. Syst., 2022

A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks.
Expert Syst. Appl., 2022

A comprehensive intrusion detection framework using boosting algorithms.
Comput. Electr. Eng., 2022

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection.
Comput. Biol. Medicine, 2022

Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals.
Comput. Biol. Medicine, 2022

Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network.
IEEE Access, 2022

Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings.
IEEE Access, 2022

2021
Spotting Deepfakes and Face Manipulations by Fusing Features from Multi-Stream CNNs Models.
Symmetry, 2021

Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism.
J. Digit. Imaging, 2021

Deep learning approaches for COVID-19 detection based on chest X-ray images.
Expert Syst. Appl., 2021

Machine learning methods for cyber security intrusion detection: Datasets and comparative study.
Comput. Networks, 2021

Deep rhythm and long short term memory-based drowsiness detection.
Biomed. Signal Process. Control., 2021

Feature Mapping and Deep Long Short Term Memory Network-Based Efficient Approach for Parkinson's Disease Diagnosis.
IEEE Access, 2021

2020
The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection.
Health Inf. Sci. Syst., 2020

Convolutional neural networks based efficient approach for classification of lung diseases.
Health Inf. Sci. Syst., 2020

Local feature descriptors based ECG beat classification.
Health Inf. Sci. Syst., 2020

Cascaded deep learning-based efficient approach for license plate detection and recognition.
Expert Syst. Appl., 2020

Two-stepped majority voting for efficient EEG-based emotion classification.
Brain Informatics, 2020

Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure.
IEEE Access, 2020

A New Deep CNN Model for Environmental Sound Classification.
IEEE Access, 2020

2019
Surface EMG signals and deep transfer learning-based physical action classification.
Neural Comput. Appl., 2019

Computer-aided diagnosis of breast cancer using bi-dimensional empirical mode decomposition.
Neural Comput. Appl., 2019

An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals.
Int. J. Autom. Comput., 2019

Towards the classification of heart sounds based on convolutional deep neural network.
Health Inf. Sci. Syst., 2019

Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models.
Health Inf. Sci. Syst., 2019

Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images.
Appl. Soft Comput., 2019

2018
Transfer learning based histopathologic image classification for breast cancer detection.
Health Inf. Sci. Syst., 2018

Emotion classification using flexible analytic wavelet transform for electroencephalogram signals.
Health Inf. Sci. Syst., 2018

A novel retinal vessel detection approach based on multiple deep convolution neural networks.
Comput. Methods Programs Biomed., 2018

An effective color texture image segmentation algorithm based on hermite transform.
Appl. Soft Comput., 2018

Optic disc determination in retinal images with deep features.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Deep convolutional neural networks for airport detection in remote sensing images.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Deep End-to-End Representation Learning for Food Type Recognition from Speech.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Low Level Texture Features for Snore Sound Discrimination.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos.
IEEE J. Biomed. Health Informatics, 2017

A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images.
Symmetry, 2017

An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut.
Symmetry, 2017

NS-<i>k</i>-NN: Neutrosophic Set-Based <i>k</i>-Nearest Neighbors Classifier.
Symmetry, 2017

A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set.
Symmetry, 2017

A hybrid method based on time-frequency images for classification of alcohol and control EEG signals.
Neural Comput. Appl., 2017

Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm.
Health Inf. Sci. Syst., 2017

Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video.
Health Inf. Sci. Syst., 2017

A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm.
Health Inf. Sci. Syst., 2017

Neutrosophic Hough Transform.
Axioms, 2017

KNCM: Kernel Neutrosophic c-Means Clustering.
Appl. Soft Comput., 2017

2016
Efficient Airport Detection Using Line Segment Detector and Fisher Vector Representation.
IEEE Geosci. Remote. Sens. Lett., 2016

Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method.
Neurocomputing, 2016

A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set.
Comput. Methods Programs Biomed., 2016

Time-frequency texture descriptors of EEG signals for efficient detection of epileptic seizure.
Brain Informatics, 2016

2015
NCM: Neutrosophic c-means clustering algorithm.
Pattern Recognit., 2015

NECM: Neutrosophic evidential c-means clustering algorithm.
Neural Comput. Appl., 2015

A Novel Edge Detection Algorithm Based on Texture Feature Coding.
J. Intell. Syst., 2015

OMP-ELM: Orthogonal Matching Pursuit-Based Extreme Learning Machine for Regression.
J. Intell. Syst., 2015

A novel 3D skeleton algorithm based on neutrosophic cost function.
Appl. Soft Comput., 2015

Shape feature encoding via Fisher Vector for efficient fall detection in depth-videos.
Appl. Soft Comput., 2015

Hand gesture recognition from kinect depth images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Texture classification using scale invariant feature transform and Bag-of-Words.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Fall detection with depth-videos.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Iterative hard thresholding based Extreme Learning Machine.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
A novel image edge detection algorithm based on neutrosophic set.
Comput. Electr. Eng., 2014

A novel image segmentation algorithm based on neutrosophic similarity clustering.
Appl. Soft Comput., 2014

2013
Modified neutrosophic approach to color image segmentation.
J. Electronic Imaging, 2013

A Novel Color Image Segmentation Approach Based on Neutrosophic Set and Modified Fuzzy <i>c</i>-Means.
Circuits Syst. Signal Process., 2013

2012
Denoising of weak ECG signals by using wavelet analysis and fuzzy thresholding.
Netw. Model. Anal. Health Informatics Bioinform., 2012

Support Vector Machine Ensembles for Intelligent Diagnosis of Valvular Heart Disease.
J. Medical Syst., 2012

2011
Investigation of complex modulus of base and EVA modified bitumen with Adaptive-Network-Based Fuzzy Inference System.
Expert Syst. Appl., 2011

Color texture image segmentation based on neutrosophic set and wavelet transformation.
Comput. Vis. Image Underst., 2011

Wavelet domain association rules for efficient texture classification.
Appl. Soft Comput., 2011

2010
Investigation of complex modulus of base and SBS modified bitumen with artificial neural networks.
Expert Syst. Appl., 2010

Evaluation of ensemble methods for diagnosing of valvular heart disease.
Expert Syst. Appl., 2010

2009
Multiclass least-squares support vector machines for analog modulation classification.
Expert Syst. Appl., 2009

Artificial neural network and wavelet neural network approaches for modelling of a solar air heater.
Expert Syst. Appl., 2009

Modelling of a new solar air heater through least-squares support vector machines.
Expert Syst. Appl., 2009

Effective diagnosis of heart disease through neural networks ensembles.
Expert Syst. Appl., 2009

An optimum feature extraction method for texture classification.
Expert Syst. Appl., 2009

Prediction of protein cellular localization sites using a hybrid method based on artificial immune system and fuzzy k-NN algorithm.
Digit. Signal Process., 2009

Diagnosis of valvular heart disease through neural networks ensembles.
Comput. Methods Programs Biomed., 2009

2008
A hybrid method based on artificial immune system and fuzzy k-NN algorithm for diagnosis of heart valve diseases.
Expert Syst. Appl., 2008

An expert system based on linear discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases.
Expert Syst. Appl., 2008

Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification.
Expert Syst. Appl., 2008

Performance prediction of a ground-coupled heat pump system using artificial neural networks.
Expert Syst. Appl., 2008

A robust technique based on invariant moments - ANFIS for recognition of human parasite eggs in microscopic images.
Expert Syst. Appl., 2008

An expert system based on principal component analysis, artificial immune system and fuzzy k-NN for diagnosis of valvular heart diseases.
Comput. Biol. Medicine, 2008

2007
Wavelet packet neural networks for texture classification.
Expert Syst. Appl., 2007

Online modulation recognition of analog communication signals using neural network.
Expert Syst. Appl., 2007

2006
Comparison of clustering algorithms for analog modulation classification.
Expert Syst. Appl., 2006

2005
Unsupervised Image Segmentation Using Markov Random Fields.
Proceedings of the Artificial Intelligence and Neural Networks, 14th Turkish Symposium, 2005


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