default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAbdulkadir Sengür
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j96]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)- [j95]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) - [j94]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) - [j93]Hüseyin Üzen, Hüseyin Firat, Orhan Atila, Abdulkadir Sengür:
Swin transformer-based fork architecture for automated breast tumor classification. Expert Syst. Appl. 256: 125009 (2024) - [j92]Hüseyin Firat, Hüseyin Üzen, Davut Hanbay, Abdulkadir Sengür:
ConvNext Mixer-Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images. Int. J. Imaging Syst. Technol. 34(5) (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 02:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
