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2020 – today
- 2024
[j95]Yagmur Olmez
, Gonca Ozmen Koca, Abdulkadir Sengür, U. Rajendra Acharya, Hasan Saeed Mir:
Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation. IEEE Access 12: 840-867 (2024)- [j94]Mehmet Yilmaz, Erkut Yalçin, Saif Kifah, Fatih Demir, Abdulkadir Sengür, Rozerin Demir, Raja Majid Mehmood:
Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm. IEEE Access 12: 6604-6614 (2024) - [j93]Muhammed Halil Akpinar, Abdulkadir Sengür, Oliver Faust, Louis Tong, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023). Comput. Methods Programs Biomed. 254: 108253 (2024) - [j92]Hüseyin Üzen, Hüseyin Firat, Orhan Atila, Abdulkadir Sengür:
Swin transformer-based fork architecture for automated breast tumor classification. Expert Syst. Appl. 256: 125009 (2024) - [j91]Gürkan Dogan, Andac Imak, Burhan Ergen, Abdulkadir Sengür:
A new hybrid approach for grapevine leaves recognition based on ESRGAN data augmentation and GASVM feature selection. Neural Comput. Appl. 36(14): 7669-7683 (2024) - [c11]Berna Gürler Ari, Hüseyin Üzen, Abdulkadir Sengür:
Accurate Segmentation of Brain Tumors in Magnetic Resonance Images with Pyramid Stage Decomposition Network Approach. SIU 2024: 1-4 - [c10]Bilal Karakaya, Abdulkadir Sengür:
Detection of Autism Spectrum Disorders from EEG Signals using Multi-Input One-Dimensional Convolutional Neural Networks. SIU 2024: 1-4 - 2023
- [j90]Süleyman Yaman, Elif Isilay Ünlü, Hasan Güler, Abdulkadir Sengür, U. Rajendra Acharya:
Application of novel DIRF feature selection algorithm for automated brain disease detection. Biomed. Signal Process. Control. 85: 105006 (2023) - [j89]Yagmur Olmez, Gonca Ozmen Koca, Abdulkadir Sengür, U. Rajendra Acharya:
PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals. Health Inf. Sci. Syst. 11(1): 22 (2023) - [j88]Ilhan Firat Kilincer, Turker Tuncer, Fatih Ertam, Abdulkadir Sengür:
SPA-IDS: An intelligent intrusion detection system based on vertical mode decomposition and iterative feature selection in computer networks. Microprocess. Microsystems 96: 104752 (2023) - [j87]Yagmur Olmez, Abdulkadir Sengür, Gonca Ozmen Koca, Ravipudi Venkata Rao:
An adaptive multilevel thresholding method with chaotically-enhanced Rao algorithm. Multim. Tools Appl. 82(8): 12351-12377 (2023) - [j86]Ilhan Firat Kilincer, Turker Tuncer, Fatih Ertam, Abdulkadir Sengür:
An automated internet of behavior detection method based on feature selection and multiple pooling using network data. Multim. Tools Appl. 82(19): 29547-29565 (2023) - [j85]Yagmur Olmez, Gonca Ozmen Koca, Erkan Tanyildizi, Abdulkadir Sengür:
Multilevel image thresholding based on Renyi's entropy and golden sinus algorithm II. Neural Comput. Appl. 35(24): 17837-17850 (2023) - [j84]Hakan Uyanik, Erman Sentürk, Muhammed Halil Akpinar, Salih T. A. Ozcelik, Mehmet Kokum, Mohamed Freeshah, Abdulkadir Sengür:
A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content. Remote. Sens. 15(24): 5690 (2023) - [j83]Orhan Atila, Erkan Deniz, Ali Ari, Abdulkadir Sengür, Subrata Chakraborty, Prabal Datta Barua, U. Rajendra Acharya:
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 23(16): 7032 (2023) - 2022
- [j82]Andac Imak, Adalet Celebi, Kamran Siddique, Muammer Turkoglu, Abdulkadir Sengür, Iftekhar Salam:
Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network. IEEE Access 10: 18320-18329 (2022) - [j81]Berna Ari, Kamran Siddique, Ömer Faruk Alçin, Muzaffer Aslan, Abdulkadir Sengür, Raja Majid Mehmood:
Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings. IEEE Access 10: 72171-72181 (2022) - [j80]Berna Ari, Nebras Sobahi, Ömer Faruk Alçin, Abdulkadir Sengür, U. Rajendra Acharya:
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals. Comput. Biol. Medicine 143: 105311 (2022) - [j79]Nebras Sobahi, Abdulkadir Sengür, Ru San Tan, U. Rajendra Acharya:
Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection. Comput. Biol. Medicine 143: 105335 (2022) - [j78]Ilhan Firat Kilincer, Fatih Ertam, Abdulkadir Sengür:
A comprehensive intrusion detection framework using boosting algorithms. Comput. Electr. Eng. 100: 107869 (2022) - [j77]Hüseyin Polat, Muammer Türkoglu, Onur Polat, Abdulkadir Sengür:
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks. Expert Syst. Appl. 197: 116748 (2022) - [j76]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. Health Inf. Sci. Syst. 10(1): 1 (2022) - [j75]Erkan Deniz, Nebras Sobahi, Naaman Omar, Abdulkadir Sengür, U. Rajendra Acharya:
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset. Health Inf. Sci. Syst. 10(1): 31 (2022) - [j74]Muammer Turkoglu, Davut Hanbay, Abdulkadir Sengür:
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests. J. Ambient Intell. Humaniz. Comput. 13(7): 3335-3345 (2022) - [j73]Fatih Demir, Kürsat Demir, Abdulkadir Sengür:
DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach. New Gener. Comput. 40(4): 1053-1075 (2022) - [j72]Andac Imak, Adalet Celebi, Muammer Türkoglu, Abdulkadir Sengür:
Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features. Neural Process. Lett. 54(3): 2107-2126 (2022) - 2021
- [j71]Fatih Demir, Abdulkadir Sengür, Ali Ari, Kamran Siddique, Mohammed Alswaitti:
Feature Mapping and Deep Long Short Term Memory Network-Based Efficient Approach for Parkinson's Disease Diagnosis. IEEE Access 9: 149456-149464 (2021) - [j70]Muammer Turkoglu, Omer F. Alcin, Muzaffer Aslan, Adel Al-Zebari, Abdulkadir Sengür:
Deep rhythm and long short term memory-based drowsiness detection. Biomed. Signal Process. Control. 65: 102364 (2021) - [j69]Ilhan Firat Kilincer, Fatih Ertam, Abdulkadir Sengür:
Machine learning methods for cyber security intrusion detection: Datasets and comparative study. Comput. Networks 188: 107840 (2021) - [j68]Aras Masood Ismael, Abdulkadir Sengür:
Deep learning approaches for COVID-19 detection based on chest X-ray images. Expert Syst. Appl. 164: 114054 (2021) - [j67]Ümit Budak, Musa Çibuk, Zafer Cömert, Abdulkadir Sengür:
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism. J. Digit. Imaging 34(2): 263-272 (2021) - [j66]Semih Yavuzkilic, Abdulkadir Sengür, Zahid Akhtar, Kamran Siddique:
Spotting Deepfakes and Face Manipulations by Fusing Features from Multi-Stream CNNs Models. Symmetry 13(8): 1352 (2021) - [i1]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. CoRR abs/2106.00436 (2021) - 2020
- [j65]Fatih Demir, Daban Abdulsalam Abdullah, Abdulkadir Sengür:
A New Deep CNN Model for Environmental Sound Classification. IEEE Access 8: 66529-66537 (2020) - [j64]Fatih Demir, Aras Masood Ismael, Abdulkadir Sengür:
Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure. IEEE Access 8: 105376-105383 (2020) - [j63]Aras Masood Ismael, Ömer Faruk Alçin, Karmand Hussein Abdalla, Abdulkadir Sengür:
Two-stepped majority voting for efficient EEG-based emotion classification. Brain Informatics 7(1): 9 (2020) - [j62]Naaman Omar, Abdulkadir Sengür, Salim Ganim Saeed Al-Ali:
Cascaded deep learning-based efficient approach for license plate detection and recognition. Expert Syst. Appl. 149: 113280 (2020) - [j61]Fatih Demir, Abdulkadir Sengür, Varun Bajaj:
Convolutional neural networks based efficient approach for classification of lung diseases. Health Inf. Sci. Syst. 8(1): 4 (2020) - [j60]Daban Abdulsalam Abdullah, Muhammed Halil Akpinar, Abdulkadir Sengür:
Local feature descriptors based ECG beat classification. Health Inf. Sci. Syst. 8(1): 20 (2020) - [j59]Aras Masood Ismael, Abdulkadir Sengür:
The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection. Health Inf. Sci. Syst. 8(1): 29 (2020)
2010 – 2019
- 2019
- [j58]Ümit Budak, Zafer Cömert, Zryan Najat Rashid, Abdulkadir Sengür, Musa Çibuk:
Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. Appl. Soft Comput. 85 (2019) - [j57]Fatih Demir, Abdulkadir Sengür, Varun Bajaj, Kemal Polat:
Towards the classification of heart sounds based on convolutional deep neural network. Health Inf. Sci. Syst. 7(1): 16 (2019) - [j56]Zafer Cömert, Abdulkadir Sengür, Ümit Budak, Adnan Fatih Kocamaz:
Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. Health Inf. Sci. Syst. 7(1): 17 (2019) - [j55]Siuly Siuly, Varun Bajaj, Abdulkadir Sengür, Yanchun Zhang:
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals. Int. J. Autom. Comput. 16(6): 737-747 (2019) - [j54]Varun Bajaj, Mayank Pawar, Vinod Kumar Meena, Mukesh Kumar, Abdulkadir Sengür, Yanhui Guo:
Computer-aided diagnosis of breast cancer using bi-dimensional empirical mode decomposition. Neural Comput. Appl. 31(8): 3307-3315 (2019) - [j53]Fatih Demir, Varun Bajaj, Melih Cevdet Ince, Sachin Taran, Abdulkadir Sengür:
Surface EMG signals and deep transfer learning-based physical action classification. Neural Comput. Appl. 31(12): 8455-8462 (2019) - 2018
- [j52]Yaman Akbulut, Yanhui Guo, Abdulkadir Sengür, Muzaffer Aslan:
An effective color texture image segmentation algorithm based on hermite transform. Appl. Soft Comput. 67: 494-504 (2018) - [j51]Yanhui Guo, Ümit Budak, Abdulkadir Sengür:
A novel retinal vessel detection approach based on multiple deep convolution neural networks. Comput. Methods Programs Biomed. 167: 43-48 (2018) - [j50]Varun Bajaj, Sachin Taran, Abdulkadir Sengür:
Emotion classification using flexible analytic wavelet transform for electroencephalogram signals. Health Inf. Sci. Syst. 6(1): 12 (2018) - [j49]Erkan Deniz, Abdulkadir Sengür, Zehra Kadiroglu, Yanhui Guo, Varun Bajaj, Ümit Budak:
Transfer learning based histopathologic image classification for breast cancer detection. Health Inf. Sci. Syst. 6(1): 18 (2018) - [c9]Fatih Demir, Abdulkadir Sengür, Nicholas Cummins, Shahin Amiriparian, Björn W. Schuller:
Low Level Texture Features for Snore Sound Discrimination. EMBC 2018: 413-416 - [c8]Benjamin Sertolli, Nicholas Cummins, Abdulkadir Sengür, Björn W. Schuller:
Deep End-to-End Representation Learning for Food Type Recognition from Speech. ICMI 2018: 574-578 - [c7]Ümit Budak, Abdulkadir Sengür, Ugur Halici:
Deep convolutional neural networks for airport detection in remote sensing images. SIU 2018: 1-4 - [c6]Abdulkadir Sengür, Beyza Nur Akilotu, Seda Arslan Tuncer, Zehra Kadiroglu, Semih Yavuzkilic, Ümit Budak, Erkan Deniz:
Optic disc determination in retinal images with deep features. SIU 2018: 1-4 - 2017
- [j48]Yaman Akbulut, Abdulkadir Sengür, Yanhui Guo, Kemal Polat:
KNCM: Kernel Neutrosophic c-Means Clustering. Appl. Soft Comput. 52: 714-724 (2017) - [j47]Ümit Budak, Yanhui Guo, Abdulkadir Sengür, Florentin Smarandache:
Neutrosophic Hough Transform. Axioms 6(4): 35 (2017) - [j46]Yanhui Guo, Shuang-Quan Jiang, Baiqing Sun, Siuly Siuly, Abdulkadir Sengür, Jiawei Tian:
Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video. Health Inf. Sci. Syst. 5(1): 8 (2017) - [j45]Abdulkadir Sengür, Yaman Akbulut, Yanhui Guo, Varun Bajaj:
Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm. Health Inf. Sci. Syst. 5(1): 9 (2017) - [j44]Ümit Budak, Abdulkadir Sengür, Yanhui Guo, Yaman Akbulut:
A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm. Health Inf. Sci. Syst. 5(1): 14 (2017) - [j43]Varun Bajaj, Yanhui Guo, Abdulkadir Sengür, Siuly Siuly, Omer F. Alcin:
A hybrid method based on time-frequency images for classification of alcohol and control EEG signals. Neural Comput. Appl. 28(12): 3717-3723 (2017) - [j42]Yaman Akbulut, Abdulkadir Sengür, Yanhui Guo, Florentin Smarandache:
A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set. Symmetry 9(8): 142 (2017) - [j41]Yaman Akbulut, Abdulkadir Sengür, Yanhui Guo, Florentin Smarandache:
NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier. Symmetry 9(9): 179 (2017) - [j40]Yanhui Guo, Yaman Akbulut, Abdulkadir Sengür, Rong Xia, Florentin Smarandache:
An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut. Symmetry 9(9): 185 (2017) - [j39]Yanhui Guo, Ümit Budak, Abdulkadir Sengür, Florentin Smarandache:
A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images. Symmetry 9(10): 235 (2017) - [j38]Erdem Akagündüz, Muzaffer Aslan, Abdulkadir Sengür, Haibo Wang, Melih Cevdet Ince:
Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. IEEE J. Biomed. Health Informatics 21(3): 756-763 (2017) - 2016
- [j37]Abdulkadir Sengür, Yanhui Guo, Yaman Akbulut:
Time-frequency texture descriptors of EEG signals for efficient detection of epileptic seizure. Brain Informatics 3(2): 101-108 (2016) - [j36]Yanhui Guo, Abdulkadir Sengür, Jiawei Tian:
A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set. Comput. Methods Programs Biomed. 123: 43-53 (2016) - [j35]Ömer Faruk Alçin, Siuly Siuly, Varun Bajaj, Yanhui Guo, Abdulkadir Sengür, Yanchun Zhang:
Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method. Neurocomputing 218: 251-258 (2016) - [j34]Ümit Budak, Ugur Halici, Abdulkadir Sengür, Murat Karabatak, Yang Xiao:
Efficient Airport Detection Using Line Segment Detector and Fisher Vector Representation. IEEE Geosci. Remote. Sens. Lett. 13(8): 1079-1083 (2016) - 2015
- [j33]Yanhui Guo, Abdulkadir Sengür:
A novel 3D skeleton algorithm based on neutrosophic cost function. Appl. Soft Comput. 36: 210-217 (2015) - [j32]Muzaffer Aslan, Abdulkadir Sengür, Yang Xiao, Haibo Wang, M. Cevdet Ince, Xin Ma:
Shape feature encoding via Fisher Vector for efficient fall detection in depth-videos. Appl. Soft Comput. 37: 1023-1028 (2015) - [j31]Omer F. Alcin, Abdulkadir Sengür, Jiang Qian, Melih Cevdet Ince:
OMP-ELM: Orthogonal Matching Pursuit-Based Extreme Learning Machine for Regression. J. Intell. Syst. 24(1): 135-143 (2015) - [j30]Abdulkadir Sengür, Yanhui Guo, Mehmet Üstündag, Ömer Faruk Alcin:
A Novel Edge Detection Algorithm Based on Texture Feature Coding. J. Intell. Syst. 24(2): 235-248 (2015) - [j29]Yanhui Guo, Abdulkadir Sengür:
NECM: Neutrosophic evidential c-means clustering algorithm. Neural Comput. Appl. 26(3): 561-571 (2015) - [j28]Yanhui Guo, Abdulkadir Sengür:
NCM: Neutrosophic c-means clustering algorithm. Pattern Recognit. 48(8): 2710-2724 (2015) - [c5]Ümit Budak, Abdulkadir Sengür:
Texture classification using scale invariant feature transform and Bag-of-Words. SIU 2015: 152-155 - [c4]Ömer Faruk Alcin, Ali Ari, Abdulkadir Sengür, Melih Cevdet Ince:
Iterative hard thresholding based Extreme Learning Machine. SIU 2015: 367-370 - [c3]Muzaffer Aslan, Ömer Faruk Alçin, Abdulkadir Sengür, Melih Cevdet Ince:
Fall detection with depth-videos. SIU 2015: 443-446 - [c2]Zeynep Yeloglu, Yaman Akbulut, Ümit Budak, Abdulkadir Sengür:
Hand gesture recognition from kinect depth images. SIU 2015: 628-631 - 2014
- [j27]Yanhui Guo, Abdulkadir Sengür:
A novel image segmentation algorithm based on neutrosophic similarity clustering. Appl. Soft Comput. 25: 391-398 (2014) - [j26]Yanhui Guo, Abdulkadir Sengür:
A novel image edge detection algorithm based on neutrosophic set. Comput. Electr. Eng. 40(8): 3-25 (2014) - 2013
- [j25]Yanhui Guo, Abdulkadir Sengür:
A Novel Color Image Segmentation Approach Based on Neutrosophic Set and Modified Fuzzy c-Means. Circuits Syst. Signal Process. 32(4): 1699-1723 (2013) - [j24]Ebru Karabatak, Yanhui Guo, Abdulkadir Sengür:
Modified neutrosophic approach to color image segmentation. J. Electronic Imaging 22(1): 013005 (2013) - 2012
- [j23]Abdulkadir Sengür:
Support Vector Machine Ensembles for Intelligent Diagnosis of Valvular Heart Disease. J. Medical Syst. 36(4): 2649-2655 (2012) - [j22]Mehmet Üstündag, Muammer Gökbulut, Abdulkadir Sengür, Fikret Ata:
Denoising of weak ECG signals by using wavelet analysis and fuzzy thresholding. Netw. Model. Anal. Health Informatics Bioinform. 1(4): 135-140 (2012) - 2011
- [j21]Murat Karabatak, M. Cevdet Ince, Abdulkadir Sengür:
Wavelet domain association rules for efficient texture classification. Appl. Soft Comput. 11(1): 32-38 (2011) - [j20]Abdulkadir Sengür, Yanhui Guo:
Color texture image segmentation based on neutrosophic set and wavelet transformation. Comput. Vis. Image Underst. 115(8): 1134-1144 (2011) - [j19]Mehmet Yilmaz, Baha Vural Kok, Burak Sengoz, Abdulkadir Sengür, Engin Avci:
Investigation of complex modulus of base and EVA modified bitumen with Adaptive-Network-Based Fuzzy Inference System. Expert Syst. Appl. 38(1): 969-974 (2011) - 2010
- [j18]Resul Das, Abdulkadir Sengür:
Evaluation of ensemble methods for diagnosing of valvular heart disease. Expert Syst. Appl. 37(7): 5110-5115 (2010) - [j17]Baha Vural Kok, Mehmet Yilmaz, Burak Sengoz, Abdulkadir Sengür, Engin Avci:
Investigation of complex modulus of base and SBS modified bitumen with artificial neural networks. Expert Syst. Appl. 37(12): 7775-7780 (2010)
2000 – 2009
- 2009
- [j16]Resul Das, Ibrahim Türkoglu, Abdulkadir Sengür:
Diagnosis of valvular heart disease through neural networks ensembles. Comput. Methods Programs Biomed. 93(2): 185-191 (2009) - [j15]Abdulkadir Sengür:
Prediction of protein cellular localization sites using a hybrid method based on artificial immune system and fuzzy k-NN algorithm. Digit. Signal Process. 19(5): 815-826 (2009) - [j14]Engin Avci, Abdulkadir Sengür, Davut Hanbay:
An optimum feature extraction method for texture classification. Expert Syst. Appl. 36(3): 6036-6043 (2009) - [j13]Abdulkadir Sengür:
Multiclass least-squares support vector machines for analog modulation classification. Expert Syst. Appl. 36(3): 6681-6685 (2009) - [j12]Resul Das, Ibrahim Türkoglu, Abdulkadir Sengür:
Effective diagnosis of heart disease through neural networks ensembles. Expert Syst. Appl. 36(4): 7675-7680 (2009) - [j11]Hikmet Esen, Filiz Ozgen, Mehmet Esen, Abdulkadir Sengür:
Modelling of a new solar air heater through least-squares support vector machines. Expert Syst. Appl. 36(7): 10673-10682 (2009) - [j10]Hikmet Esen, Filiz Ozgen, Mehmet Esen, Abdulkadir Sengür:
Artificial neural network and wavelet neural network approaches for modelling of a solar air heater. Expert Syst. Appl. 36(8): 11240-11248 (2009) - 2008
- [j9]Abdulkadir Sengür:
An expert system based on principal component analysis, artificial immune system and fuzzy k-NN for diagnosis of valvular heart diseases. Comput. Biol. Medicine 38(3): 329-338 (2008) - [j8]Abdulkadir Sengür:
Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification. Expert Syst. Appl. 34(3): 2120-2128 (2008) - [j7]Abdulkadir Sengür:
An expert system based on linear discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases. Expert Syst. Appl. 35(1-2): 214-222 (2008) - [j6]Esin Dogantekin, Mustafa Yilmaz, Akif Dogantekin, Engin Avci, Abdulkadir Sengür:
A robust technique based on invariant moments - ANFIS for recognition of human parasite eggs in microscopic images. Expert Syst. Appl. 35(3): 728-738 (2008) - [j5]Abdulkadir Sengür, Ibrahim Türkoglu:
A hybrid method based on artificial immune system and fuzzy k-NN algorithm for diagnosis of heart valve diseases. Expert Syst. Appl. 35(3): 1011-1020 (2008) - [j4]Hikmet Esen, Mustafa Inalli, Abdulkadir Sengür, Mehmet Esen:
Performance prediction of a ground-coupled heat pump system using artificial neural networks. Expert Syst. Appl. 35(4): 1940-1948 (2008) - 2007
- [j3]Abdulkadir Sengür, Ibrahim Türkoglu, M. Cevdet Ince:
Wavelet packet neural networks for texture classification. Expert Syst. Appl. 32(2): 527-533 (2007) - [j2]Hanifi Güldemir, Abdulkadir Sengür:
Online modulation recognition of analog communication signals using neural network. Expert Syst. Appl. 33(1): 206-214 (2007) - 2006
- [j1]Hanifi Güldemir, Abdulkadir Sengür:
Comparison of clustering algorithms for analog modulation classification. Expert Syst. Appl. 30(4): 642-649 (2006) - 2005
- [c1]Abdulkadir Sengür, Ibrahim Türkoglu, M. Cevdet Ince:
Unsupervised Image Segmentation Using Markov Random Fields. TAINN 2005: 158-167
Coauthor Index
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