Kitaplar

Alçin, Ö.F., Budak, Ü., Aslan, M., Akbulut, Y., Cömert, Z., Akpınar, M.H., Şengür, A., , Modelling and Analysis of Active Biopotential Signals in Healthcare, IOP Publishing, 2020, , 978-0-7503-3277-4.

Cömert, Z., Akbulut, Y., Akpınar, M.H., Alçin, Ö.F., Budak, Ü., Aslan, M., Şengür, A., , Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 1, IOP Publishing, 2020, 26, 978-0-7503-3277-4.

Başaran, E., Cömert, Z., Çelik, Y., Budak, Ü., Şengür, A., , Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2, IOP Publishing, 2020, , 978-0-7503-3411-2.

Şengür, A., Cömert, Z., Akbulut, Y., Alçin, Ö.F., Budak, Ü., Akpınar, M.H., Aslan, M., , Modelling and Analysis of Active Biopotential Signals in Healthcare,, IOP Publishing, 2020, , 978-0-7503-3277-4.

Şengür, A., Bajaj, V., Karabatak, M., Tanyıldızı, E., , NEUTROSOPHIC SET IN MEDICAL IMAGE ANALYSIS, Elsevier Academic Press, 2019, 370, 9780128181485.

Şengür, A., Budak, Ü., Akbulut, Y., Karabatak, M., Tanyıldızı, E., , Neutrosophic Set in Medical Image Analysis, Elseiver Academic Press, 2019, 352, 9780128181485.

Şengür, A., Budak, Ü., Akbulut, Y., Karabatak, M., Tanyıldızı, E., , Neutrosophic Set in Medical Image Analysis, Elsevier Academic Press, 2019, 370, 9780128181485.

Makaleler

Uluslararası

Siuly, S., Alçin, Ö.F., Bajaj, V., Şengür, A., Zhang, Y., (2019). Exploring Hermite transformation in brain signal analysis for the detection of epileptic seizure. IET Science, Measurement & Technology, 13(1),35-41.
Bajaj, V., Guo, Y., Şengür, A., Siuly, S., Alçin, Ö.F., (2016). A hybrid method based on time-frequency images for classification of alcohol and control EEG signals. Neural Computing and Applications, 28(12),3717-3723.
Ismael, A.M., Alçin, Ö.F., Abdalla, K.H., Şengür, A., (2020). Two-stepped majority voting for efficient EEG-based emotion classification. Brain Informatics, 7(9),1-12.
Siuly, S., Alçin, Ö.F., Kabir, E., Şengür, A., Wang, H., Zhang, Y., Whittaker, F., (2020). A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 28(9),1966-1976.
Güner, A., Alçin, Ö.F., Şengür, A., (2019). Automatic digital modulation classification using extreme learning machine with local binary pattern histogram features. Measurement, 145(),214-225.
Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Bajaj, V., (2020). Efficient approach for digitization of the cardiotocography signals. Physica A: Statistical Mechanics and its Applications, 537(122724),122725-122725.
Aslan, M., Akbulut, Y., Şengür, A., Ince, M.C., (2017). Eklem tabanlı etkili düşme tespiti. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 32(4),1025-1034.
Akbulut, Y., Guo, Y., Şengür, A., Aslan, M., (2018). An effective color texture image segmentation algorithm based on hermite transform. APPLIED SOFT COMPUTING, 67(),494-504.
Budak, Ü., Cömert, Z., Çıbuk, M., Şengür, A., (2020). DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images. Medical Hypotheses, 134(),109426-.
Çıbuk, M., Budak, Ü., Guo, Y., Ince, M.C., Şengür, A., (2019). Efficient deep features selections and classification for flower species recognition. Measurement, 137(),7-13.
Akagündüz, E., Aslan, M., Şengür, A., Wang, H., Ince, M.C., (2017). Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. IEEE Journal of Biomedical and Health Informatics, 21(3),756-763.
Cıbuk, M., Budak, Ü., Guo, Y., Ince, M.C., Şengür, A., (2019). Efficient deep features selections and classification for flower species recognition. Measurement, 137(),7-13.
Demir, F., Bajaj, V., Ince, M.C., Taran, S., Şengür, A., (2019). Surface EMG signals and deep transfer learning-based physical action classification. NEURAL COMPUTING APPLICATIONS, 31(12),8455-8462.
Akagündüz, E., Aslan, M., Şengür, A., Wang, H., Ince, M.C., (2017). Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. IEEE Journal of Biomedical and Health Informatics, (),1-1.
Budak, Ü., Guo, Y., Tanyıldızı, E., Şengür, A., (2020). Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation. Medical Hypotheses, 134(),109431-.
Arı, B., Arı, A., Şengür, A., (2020). Makine Öğrenmesi ile Tam Kan Sayımı Değerlerinden İntihar Tahmini. European Journal of Science and Technology, (),364-369.
Omar, N., Şengür, A., Al-ali, S.G., (2020). Cascaded deep learning-based efficient approach for license plate detection and recognition. Expert Systems with Applications, 149(),113280-.
Kılınçer, İ.F., Ertam, F., Şengür, A., (2020). Automated Fake Access Point Attack Detection and Prevention System with IoT Devices. Balkan Journal of Electrical and Computer Engineering, 1(1),50-56.
Budak, Ü., Cömert, Z., Çıbuk, M., Şengür, A., (2020). DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images. Medical Hypotheses, 134(),109426-.
Daldal, N., Şengür, A., Polat, K., Cömert, Z., (2020). A novel demodulation system for base band digital modulation signals based on the deep long short-term memory model. Applied Acoustics, 166(),107346-.
Demir, F., Türkoğlu, M., Aslan, M., Şengür, A., (2020). A new pyramidal concatenated CNN approach for environmental sound classification. Applied Acoustics, 170(),107520-.
Selimefendigil, F., Akbulut, Y., Şengür, A., Öztop, H.F., (2020). MHD conjugate natural convection in a porous cavity involving a curved conductive partition and estimations by using Long Short-Term Memory Networks. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 140(3),1457-1468.
Tanyıldızı, H., Şengür, A., Akbulut, Y., Şahin, M., (2020). Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures. Frontiers of Structural and Civil Engineering, 2020(5),1-15.
Demir, F., Şengür, A., Bajaj, V., (2019). Convolutional neural networks based efficient approach for classification of lung diseases. HEALTH INFORMATION SCIENCE AND SYSTEMS, 8(1),-.
Demir, F., Turkoglu, M., Aslan, M., Şengür, A., (2020). A new pyramidal concatenated CNN approach for environmental sound classification. APPLIED ACOUSTICS, 170(null),-.
Ahmad, S., Agrawal, S., Joshi, S., Taran, S., Bajaj, V., Demir, F., Şengür, A., (2020). Environmental sound classification using optimum allocation sampling based empirical mode decomposition. Physica A: Statistical Mechanics and its Applications, 537(),122613-.
Demir, F., Ismael, A.M., Şengür, A., (2020). Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure. IEEE Access, 8(null),105376-105383.
Demir, F., Abdullah, D.A., Şengür, A., (2020). A New Deep CNN Model for Environmental Sound Classification. IEEE Access, 8(null),66529-66537.
Akagündüz, E., Aslan, M., Şengür, A., Wang, H., Ince, M.C., (2017). Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. IEEE Journal of Biomedical and Health Informatics, 21(3),756-763.
Budak, Ü., Cömert, Z., Rashid, Z.N., Şengür, A., Çıbuk, M., (2019). Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. Applied Soft Computing, 85(),105765-.
Çıbuk, M., Budak, Ü., Guo, Y., Ince, M.C., Şengür, A., (2019). Efficient deep features selections and classification for flower species recognition. Measurement, 137(),7-13.
Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Güngör, S., (2019). A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces. IRBM, 40(5),286-296.
Budak, Ü., Cömert, Z., Rashıd, Z.N., Şengür, A., Çıbuk, M., (2019). Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. Applied Soft Computing, 85(),105765-.
Cömert, Z., Şengür, A., Budak, Ü., Kocamaz, A.F., (2019). Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. Health Information Science and Systems, 7(1),1-9.
Deniz, E., Şengür, A., Kadiroğlu, z., Guo, Y., Bajaj, V., Budak, Ü., (2018). Transfer learning based histopathologic image classification for breast cancer detection. Health Information Science and Systems, 6(1),-.
Cömert, Z., Şengür, A., Budak, Ü., Kocamaz, A.F., (2019). Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. Health Information Science and Systems, 7(1),-.
Budak, Ü., Guo, Y., Şengür, A., Smarandache, F., (2017). Neutrosophic Hough Transform. Axioms, 6(4),35-.
Budak, Ü., Şengür, A., Guo, Y., Akbulut, Y., (2017). A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm. Health Information Science and Systems, 5(1),-.
Budak, Ü., Cömert, Z., Rashid, Z.N., Şengür, A., Çıbuk, M., (2019). Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. Applied Soft Computing, 85(),105765-.
Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Güngör, S., (2019). A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces. IRBM, 40(5),286-296.
Budak, Ü., Bajaj, V., Akbulut, Y., Şengür, A., Atila, O., (2019). An Effective Hybrid Model for EEG-Based Drowsiness Detection1. IEEE SENSORS JOURNAL, 19(17),7624-7631.
Chaudhary, S., Taran, S., Bajaj, V., Şengür, A., (2019). Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification. IEEE SENSORS JOURNAL, 19(12),4494-4500.
Siuly, S., Bajaj, V., Şengür, A., Zhang, Y., (2019). An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals. International Journal of Automation and Computing, (),-.
Türkoğlu, M., Hanbay, D., Şengür, A., (2019). Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests. Journal of Ambient Intelligence and Humanized Computing, (),-.
Budak, Ü., Bajaj, V., Akbulut, Y., Atila, O., Şengür, A., (2019). An Effective Hybrid Model for EEG-Based Drowsiness Detection. IEEE Sensors Journal, 19(17),7624-7631.
Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Güngör, S., (2019). A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces. IRBM, 40(5),286-296.
Demir, F., Şengür, A., Bajaj, V., Polat, K., (2019). Towards the classification of heart sounds based on convolutional deep neural network. HEALTH INFORMATION SCIENCE AND SYSTEMS, 7(1),-.
Demir, F., Bajaj, V., Ince, M.C., Taran, S., Şengür, A., (2019). Surface EMG signals and deep transfer learning-based physical action classification. NEURAL COMPUTING APPLICATIONS, 31(12),8455-8462.
Guo, Y., Budak, Ü., Şengür, A., (2018). A novel retinal vessel detection approach based on multiple deep convolution neural networks. Computer Methods and Programs in Biomedicine, 167(),43-48.
Guo, Y., Budak, Ü., Vespa, L.J., Khorasani, E., Şengür, A., (2018). A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy. Measurement, 125(),586-591.
Guo, Y., Budak, Ü., Şengür, A., Smarandache, F., (2017). A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images. Symmetry, 9(10),235-.
Bajaj, V., Taran, S., Tanyıldızı, E., Şengür, A., (2019). Robust Approach Based on Convolutional Neural Networks for Identification of Focal EEG Signals. IEEE Sensors Letters, 3(5),1-4.
Şengür, A., Budak, Ü., Akbulut, Y., (2018). CLASSIFICATION OF AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHY ELECTROMYOGRAPHY SIGNALS BASED ON TRANSFER LEARNING. European Journal of Technic, 8(2),179-185.
Akbulut, Y., Guo, Y., Şengür, A., Aslan, M., (2018). An effective color texture image segmentation algorithm based on hermite transform. Applied Soft Computing, 67(),494-504.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier. Symmetry, 9(9),179-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set. Symmetry, 9(8),142-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut. Symmetry, 9(9),185-.
Taran, S., Bajaj, V., Sharma, D., Siuly, S., Şengür, A., (2018). Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications. MEASUREMENT, 116(),68-76.
Guo, Y., Şengür, A., Akbulut, Y., Shipley, A., (2018). An effective color image segmentation approach using neutrosophic adaptive mean shift clustering. MEASUREMENT, 119(),28-40.
Deniz, E., Şengür, A., Kadiroğlu, Z., Guo, Y., Varun, B., Budak, Ü., (2018). Transfer learning based histopathologic image classification for breast cancer detection. Health Information Science and Systems, 6(1),1-7.
Bajaj, V., Taran, S., Şengür, A., (2018). Emotion classification using flexible analytic wavelet transform for electroencephalogram signals. Health Information Science and Systems, 6(1),-.
Akbulut, Y., Şengür, A., Guo, Y., Polat, K., (2017). KNCM: Kernel Neutrosophic c-Means Clustering. Applied Soft Computing, 52(),714-724.
Şengür, A., Akbulut, Y., Guo, Y., Bajaj, V., (2017). Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm. Health Information Science and Systems, 5(1),-.
Aslan, m., Akbulut, Y., Şengür, A., Ince, M.C., (2017). Eklem Tabanlı Etkili Düşme Tespiti. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, (),-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set. SYMMETRY-BASEL, 9(8),-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier. Symmetry, 9(9),179-.
Guo, Y., Akbulut, Y., Şengür, A., Xia, R., Smarandache, F., (2017). An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut. Symmetry, 9(9),185-.
Guo, Y., Polat, K., Rong, X., Şengür, A., (2017). A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering. Neural Computing and Applications, 28(10),3009-3019.
Akbulut, Y., Şengür, A., Guo, Y., Polat, K., (2017). KNCM: Kernel Neutrosophic c-Means Clustering. Applied Soft Computing, 52(),714-724.
Şengür, A., Guo, Y., Akbulut, Y., (2016). Time frequency texture descriptors of EEG signals for efficient detection of epileptic seizure. Brain Informatics, 3(2),101-108.
Guo, y., Şengür, A., Tianc, J., (2016). A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set. Computer Methods and Programs in Biomedicine, 123(),43-53.
Guo, Y., Rong, X., Şengür, A., Polat, K., (2017). A novel image segmentation approach based on neutrosophic c means clustering and indeterminacy filtering. Neural Computing and Applications, (),-.
Bajaj, V., Guo, Y., Şengür, A., Siuly, S., Alçin, Ö.F., (2017). A hybrid method based on time frequency images for classification of alcohol and control EEG signals. Neural Computing and Applications, (),1-7.
Budak, Ü., Halıcı, U., Şengür, A., Karabatak, M., Yang, X., (2016). Efficient Airport Detection Using Line Segment Detector and Fisher Vector Representation. IEEE Geoscience and Remote Sensing Letters, 13(8),1079-1083.
Alçin, Ö.F., Siuly, S., Bajaj, v., Guo, Y., Şengür, A., Zhang, Y., (2016). Multi category EEG signal classification developing time frequency texture features based Fisher Vector encoding method. Neurocomputing, 218(),251-258.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Artificial neural networks and adaptive neuro fuzzy assessments for ground coupled heat pump system. Energy and Buildings, 40(6),1074-1083.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Predicting performance of a ground source heat pump system using fuzzy weighted pre processing based ANFIS. Building and Environment, 43(12),2178-2187.
Şengür, A., Guo, Y., Üstündağ, M., Alçin, Ö.F., (2015). A Novel Edge Detection Algorithm Based on Texture Feature Coding. Journal of Intelligent Systems, 24(2),235-248.
Alçin, Ö.F., Şengür, A., Jiang, Q., Ince, M.C., (2015). OMP ELM Orthogonal Matching Pursuit Based Extreme Learning Machine for Regression. Journal of Intelligent Systems, 24(1),135-143.
Aslan, m., Şengür, A., Xiao, Y., Haibo, w., Ince, M.C., Xin, M., (2015). Shape feature encoding via Fisher Vector for efficient fall detection in depth videos. Applied Soft Computing, 37(),1023-1028.
Guo, y., Şengür, A., (2015). NECM Neutrosophic evidential c means clustering algorithm. Neural Computing and Applications, 26(3),561-571.
Şengür, A., Guo, y., (2011). Color texture image segmentation based on neutrosophic set and wavelet transformation. Computer Vision and Image Understanding, 115(8),1134-1144.
Şengür, A., (2008). Wavelet transform and adaptive neuro fuzzy inference system for color texture classification. Expert Systems with Applications, 34(3),2120-2128.
Şengür, A., (2009). Multiclass least squares support vector machines for analog modulation classification. Expert Systems with Applications, 36(3),6681-6685.
Daş, R., Türkoğlu, İ., Şengür, A., (2009). Effective diagnosis of heart disease through neural networks ensembles. Expert Systems with Applications, 36(4),7675-7680.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Forecasting of a ground coupled heat pump performance using neural networks with statistical data weighting pre processing. International Journal of Thermal Sciences, 47(4),431-441.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Modeling a ground coupled heat pump system by a support vector machine. RENEWABLE ENERGY, 33(8),1814-1823.
Guo, Y., Şengür, A., (2015). A novel 3D skeleton algorithm based on neutrosophic cost function. Applied Soft Computing, 36(11),210-217.
Guo, Y., Şengür, A., (2015). NCM Neutrosophic c means clustering algorithm. Pattern Recognition, 48(8),2710-2724.
Daş, R., Şengür, A., Türkoğlu, İ., (2009). Diagnosis of valvular heart disease through neural networks ensembles. Computer Methods and Programs in Biomedicine, 93(2),185-191.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Modelling a ground coupled heat pump system using adaptive neuro fuzzy inference systems. International Journal of Refrigeration, 31(1),65-74.
Alçin, Ö.F., Şengür, A., Ince, M.C., (2015). İLERİ GERİ TAKİP ALGORİTMASI TABANLI SEYREK AŞIRI ÖĞRENME MAKİNESİ. Journal of the Faculty of Engineering & Architecture of Gazi University, 30(1),111-117.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Performance prediction of a ground coupled heat pump system using artificial neural networks. EXPERT SYSTEMS WITH APPLICATIONS, 35(4),1940-1948.
Esen, H., Özgen, F., Esen, M., Şengür, A., (2009). Artificial neural network and wavelet neural network approaches for modelling of a solar air heater. EXPERT SYSTEMS WITH APPLICATIONS, 36(8),11240-11248.
Esen, H., Özgen, F., Esen, M., Şengür, A., (2009). Modelling of a new solar air heater through least squares support vector machines. EXPERT SYSTEMS WITH APPLICATIONS, 36(7),10673-10682.
Şengür, A., (2009). Prediction of protein cellular localization sites using a hybrid method based on artificial immune system and fuzzy k NN algorithm. Digital Signal Processing, 19(5),815-826.
Şengür, A., (2011). Investigation of complex modulus of base and EVA modified bitumen with Adaptive Network Based Fuzzy Inference System. Expert Systems with Applications, 38(1),969-974.
Şengür, A., (2011). Wavelet domain association rules for efficient texture classification. Applied Soft Computing, 11(1),32-38.
Şengür, A., (2013). Neural network modeling of SBS modified bitumen produced with different methods. Fuel, 106(),265-270.
Şengür, A., (2014). A novel image thresholding algorithm based on neutrosophic similarity score. Measurement, 58(),175-186.
Şengür, A., (2014). GA SELM Greedy algorithms for sparse extreme learning machine. Measurement, 55(),126-132.
Şengür, A., (2014). A novel image edge detection algorithm based on neutrosophic set. Computers & Electrical Engineering, 40(8),3-25.
Şengür, A., (2014). A novel image segmentation algorithm based on neutrosophic similarity clustering. Applied Soft Computing, 25(),391-398.

Ulusal

Arı, B., , A.A., , U.İ., , Ö.F., , Ş.A., (2020). Grafik Tablet Kullanılarak Makine Öğrenmesi Yardımı ile El Yazısından Cinsiyet Tespiti. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 32(1),243-252.
Başaran, E., Cömert, Z., Şengür, A., Budak, Ü., Çelik, Y., Toğaçar, M., (2020). Normal ve Kronik Hastalıklı Orta Kulak İmgelerinin Evrişimsel Sinir Ağları Yöntemiyle Tespit Edilmesi. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi, 13(1),1-10.
Kılınçer, İ.F., Ertam, F., Yaman, O., Şengür, A., (2020). An Effective Security Method Based on Combining 802.1x, DMZ and SSL-VPN for IoT Network Security. Acta INFOLOGICA, 4(2),65-76.
Şengür, A., Budak, Ü., Akbulut, Y., (2018). CLASSIFICATION OF AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHY ELECTROMYOGRAPHY SIGNALS BASED ON TRANSFER LEARNING. European Journal of Technic, 8(2),179-185.

Bildiriler

Uluslararası

Budak, Ü., Alçin, Ö.F., Aslan, M., Şengür, A., (2018). Daha Hızlı Bölgesel Evrişimsel Sinir Ağları ile Retinal İmgelerde Optik Diskin Belirlenmesi. International Engineering and Technology Symposium (IETS18), (),-.
Budak, Ü., Alçin, Ö.F., Şengür, A., (2018). Automatic Airport Detection with Line Segment Detector and Histogram of Oriented Gradients from Satellite Images. International Conference on Artificial Intelligence and Data Processing (IDAP18), (),-.
Şengür, A., Ekici, S., Akbulut, Y., Alçin, Ö.F., Kavas, T., (2017). Speech based Gender Classification with 1D Local Binary Patterns. International Conference on Advances and Innovations in Engineering (ICAIE17), (),214-217.
Ertam, F., Kılınçer, İ.F., Yaman, O., Şengür, A., (2020). A New IoT Application for Dynamic WiFi based Wireless Sensor Network. 2020 International Conference on Electrical Engineering (ICEE), (),-.
Başaran, E., Cömert, Z., Şengür, A., Budak, Ü., Çelik, Y., Toğaçar, M., (2019). Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network. 2019 4th International Conference on Computer Science and Engineering (UBMK), (),-.
Budak, Ü., Şengür, A., Dabak, A.B., Çıbuk, M., (2019). Transfer Learning Based Object Detection and Effect of Majority Voting on Classification Performance. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Akılotu, B.N., Arslan, T.S., Kadiroğlu, z., Yavuzkılıç, S., Budak, Ü., Deniz, E., (2018). Optic disc determination in retinal images with deep features. 2018 26th Signal Processing and Communications Applications Conference (SIU), (),-.
Arı, B., Arı, A., Şengür, A., Arslan, T.S., (2019). Classification of Apricot Leaves with ExtremeLearning Machines Using Deep Features. 1th InternationalInformatics and SoftwareEngineering Conference, (),406-410.
Pareta, A., Taran, S., Bajaj, V., Şengür, A., (2019). Automatic Environment Sounds Classification Using Optimum Allocation Sampling. 2019 4th International Conference on Robotics and Automation Engineering, (),-.
Rashid, Z., Zeebaree, S.R., Şengür, A., (2019). Design and Analysis of Proposed Remote Controlling Distributed Parallel Computing System Over the Cloud. 2019 International Conference on Advanced Science and Engineering (ICOASE), (),-.
Arı, B., Arı, A., Şengür, A., Arslan, T.S., (2019). Derin Öznitelikler Kullanılarak Aşırı Öğrenme Makineleri ile Kayısı Yapraklarının Sınıflandırılması. Uluslararası Bilişim ve Yazılım Mühendisliği Konferansı, (),406-410.
Gülbaş, B., Şengür, A., Incel, E., Akbulut, Y., (2019). Deep Features and Extreme Learning Machines based Apparel Classification. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Akbulut, Y., Budak, Ü., (2019). Food Image Classification with Deep Features. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Akbulut, Y., Budak, Ü., Cömert, Z., (2019). White Blood Cell Classification Based on Shape and Deep Features. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Budak, Ü., Şengür, A., Dabak, A.B., Çıbuk, M., (2019). Transfer Learning Based Object Detection and Effect of Majority Voting on Classification Performance. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Başaran, E., Şengür, A., Cömert, Z., Budak, Ü., Çelik, Y., Velappan, S., (2019). Normal and Acute Tympanic Membrane Diagnosis based on Gray Level Co-Occurrence Matrix and Artificial Neural Networks. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Alzebari, A., Şengür, A., (2019). Performance Comparison of Machine Learning Techniques on Diabetes Disease Detection. 1st International Informatics and Software Engineering Conference (Iisec-2019), (),-.
Yaseen, N.O., Alali, S.G.S., Şengür, A., (2019). An Efficient Model for Automatic Number Plate Detection using HOG Feature from New North Iraq Vehicle Images Dataset. 1st International Informatics and Software Engineering Conference (Iisec-2019), (),-.
Akılotu, B.N., Kadiroğlu, Z., Şengür, A., Kayaoğlu, M., (2019). Evrişimsel Sinir Ağları ve Transfer Öğrenme Yöntemi Kullanılarak Sıtma Tespiti. 2019 Uluslararası Bilim ve Mühendislik Sempozyumu, (),456-465.
Kadiroğlu, Z., Akılotu, B.N., Şengür, A., Kayaoğlu, M., (2019). Derin Öznitelikler ve Renk Kullanılarak Dermoskopik Görüntülerin Sınıflandırılması. 2019 Uluslararası Bilim ve Mühendislik Sempozyumu, (),306-315.
Demir, A., Atila, O., Şengür, A., (2019). Deep Learning and Audio Based Emotion Recognition. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Akhtar, Z., Akbulut, Y., Ekici, S., Budak, Ü., (2018). Deep Feature Extraction for Face Liveness Detection. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), (),-.
Budak, Ü., Şengür, A., Akbulut, Y., (2017). Localization of macular edema region from color retinal images for detection of diabetic retinopathy. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Budak, Ü., Şengür, A., Guo, Y., Akbulut, Y., Vespa, L.J., (2017). A novel approach based on image processing algorithms for microaneurysm candidate detection. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Guo, Y., Budak, Ü., Vespa, L.J., (2017). A retinal vessel detection approach using convolution neural network. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Budak, Ü., Akbulut, Y., Şengür, A., (2018). DİYABETİK RETİNOPATİ TESPİTİ İÇİN GRAFİKSEL KULLANICI ARAYÜZÜ TABANLI SANAL ANJİYOGRAFİ SİSTEMİ. International Engineering and Natural Sciences Conference (IENSC 2018), (),1584-1591.
Akbulut, Y., Şengür, A., Budak, Ü., Ekici, S., (2017). Deep learning based face liveness detection in videos. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Emre, İ., Genç, H., Şahin, A., (2017). Gel Electrophoresis Analysis with 2-D Hermite Transform and Line Segment Detector. IATS 17, (),-.
Şengür, A., Budak, Ü., Akbulut, Y., (2018). CLASSIFICATION OF AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHYELECTROMYOGRAPHY SIGNALS BASED ON TRANSFER LEARNING. International Engineering and Natural Sciences Conference (IENSC 2018), (),-.
Budak, Ü., Şengür, A., Halıcı, U., (2018). Deep convolutional neural networks for airport detection in remote sensing images. 2018 26th Signal Processing and Communications Applications Conference (SIU), (),-.
Kadiroğlu, Z., Şengür, A., Deniz, E., (2018). DÜŞÜK SEVİYELİ DOKU ÖZNİTELİKLERİ İLE HİSTOPATOLOJİK MEME KANSERİ GÖRÜNTÜLERİNİN SINIFLANDIRILMA. International Engineering and Natural Sciences Conference (IENSC2018), (),-.
Yavuzkılıç, S., Aslan, M., Şengür, A., (2018). A Matlab Tool for Morris Water Maze Test Implementation. Conference: International Conference on Artifical Intelligence and Data Processing( IDAP2018), (),-.
Demir, F., Şengür, A., Cummins, N., Amiriparian, S., Schuller, B., (2018). Low Level Texture Features for Snore Sound Discrimination. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), (),-.
Sertolli, B., Cummins, N., Şengür, A., Schuller, B., (2018). Deep End-to-End Representation Learning for Food Type Recognition from Speech. Proceedings of the 2018 on International Conference on Multimodal Interaction - ICMI ’xx18, (),-.
Dişli, F., Gedikpınar, M., Şengür, A., (2018). Fotovoltaik Panellerin Kirliliğinin Görüntü İşleme ile Belirlenmesi. International Conference on Artificial Intelligence and Data Processing (IDAP 2018), (),-.
Demir, F., Şengür, A., Lu, h., Amiriparian, S., Cummins, N., Schuller, B., (2018). COMPACT BILINEAR DEEP FEATURES FOR ENVIRONMENTAL SOUND RECOGNITION. International Conference on Artificial Intelligence and Data Processing (IDAP 2018), (),-.
Ekici, S., Ünal, F., Akbulut, Y., Şengür, A., (2018). Electricity Consumption Analysis with Matlab Tall Arrays. 1st INTERNATIONALENGINEERING ANDTECHNOLOGY SYMPOSIUM, (),7-11.
Demir, F., Şengür, A., Çavaş, M., (2018). Derin Öznitelikler ve Destek Vektör Makineleri ile Kalp Seslerinin Sınıflandırılması. IDAP’xx18, (),-.
Omar, A., Mashhood, A., Karabatak, M., Şengür, A., (2018). A comparative analysis of common YouTube comment spam filtering techniques. 2018 6th International Symposium on Digital Forensic and Security (ISDFS), (),-.
Şengür, A., Akılotu, B.N., Arslan, T.S., Kadiroğlu, Z., Yavuzkılıç, S., Budak, Ü., Deniz, E., (2018). Optic disc determination in retinal images with deep features. 2018 26th Signal Processing and Communications Applications Conference (SIU), (),1-4.
Kadiroğlu, Z., Şengür, A., Deniz, E., (2018). Classification of Histopathological Breast Cancer Images with Low Level Texture Features. International Engineering and Natural Sciences Conference (IENSC 2018), (),1765-1772.
Şengür, A., Gedikpınar, M., Akbulut, Y., Deniz, E., Bajaj, V., (2017). DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals. Mechatronics 2017: International Conference Mechatronics, (),619-625.
Aslan, M., Şengür, A., (2017). Depth image super resolution via multi-hypothesis estimation. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Şengür, A., Ekici, S., Akbulut, Y., Kavas, T., (2017). TIME FREQUENCY GRAY LEVEL CO-OCCURRENCE MATRIX DESCRIPTORS FOR DECEPTION DETECTION. International Conference on AdvancedTechnology Sciences ICAT 17, (),665-668.
Ekici, S., Kavas, T., Akbulut, Y., Şengür, A., (2017). Deception Detection From Speech Signals. International Conference on Advances and Innovations in Engineering (ICAIE), (),1016-1021.
Yavuzkılıç, S., Şengür, A., Çambay, Z., Emre, İ., (2017). Video Analysis of Morris Water Maze Experiments. 8. Uluslararası İleri Teknolojiler Sempozyumu, (),-.
Ismael, A., Şengür, A., Akbulut, Y., (2017). LOCAL RECEPTIVE FIELDS BASED EXTREME LEARNING MACHINE FOR FACE RECOGNITION. IATS 2017, (),-.
Ekici, S., Akbulut, Y., Şengür, A., (2017). AUTOMATIC GENDER IDENTIFICATION FROM SPEECH SIGNALS. IATS 2017, (),-.
Akbulut, Y., Şengür, A., Ekici, S., (2017). Gender recognition from face images with deep learning. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Aslan, m., Şengür, A., (2017). Depth image super resolution via multi-hypothesis estimation. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Akbulut, Y., Şengür, A., (2016). Texture Segmentation Based on Gabor Filters and Neutrosophic Graph Cut. International Conference on Advanced Technology & Sciences (ICAT’16), (),336-339.
Şengür, A., (2016). FEATURE TRANSFORMATION OVER RBF NETWORK FORIMPROVING THE PERFORMANCE OF K MEANS CLUSTERING ALGORITHM. Proceedings of The IRES International Conference, Shanghai, China, (),10-13.
Arı, B., Şengür, A., Arı, A., Hanbay, D., (2016). Evrişimsel Sinir Ağları İle Yaprak Tanıma Tabanlı Kayısı Bitkisi Sınıflandırma. International Conference on Natural Science and Engineering (ICNASE’16), (),696-702.
Akbulut, Y., Aslan, M., Şengür, A., Ince, M.C., (2016). Kinect Tabanlı İskelet Verileri ile Düşme Tespiti. International Conference on Natural Science and Engineering (ICNASE’16), (),131-139.
Budak, Ü., Şengür, A., Halıcı, U., (2016). Uydu Görüntülerinden Aday Havaalanı Bölgelerin Tespiti. International Conference on Natural Science and Engineering (ICNASE’16), (),219-225.
Şengür, A., (2016). Derin Aşırı Öğrenme Makinesi ile Yüz Tanıma. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),43-46.
Atila, O., Şengür, A., (2016). Classification of Digital Modulation Signals with Time Frequency Texture Features and Support Vector Machines. International Conference on Advanced Technology & Sciences (ICAT’16), (),638-642.
Aslan, M., Şengür, A., Budak, Ü., (2016). Çoklu Yamalar ile Tek İmgeli Süper Çözünürlük. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),536-539.
Arı, B., Şengür, A., Arı, A., (2016). Yerel Alıcı Alanlar Aşırı Öğrenme Makinesi ile Kayısı Yaprağı Tanıma. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),532-535.
Akbulut, Y., Şengür, A., (2016). Hermite Dönüşümü Kullanarak Doku Bölütleme. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),342-346.
Budak, Ü., Şengür, A., Aslan, M., (2016). Gri Seviye Eş oluşum Matris ve Yapay Sinir Ağı ile Uzaktan Algılama Görüntülerinde Havaalanı Tespiti. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),108-111.

Ulusal

Şengür, A., Akılotu, B.N., Arslan, T.S., Kadiroğlu, Z., Yavuzkılıç, S., Budak, Ü., Deniz, E., (2018). Derin Öznitelikler ile Retinal Görüntülerde OptikDiskin Belirlenmesi. 2018 26th Signal Processing and Communication Applications, (),-.
Yeloğlu, Z., Akbulut, Y., Budak, Ü., Şengür, A., (2015). Hand gesture recognition from kinect depth images. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),628-631.
Aslan, M., Alçin, Ö.F., Şengür, A., Ince, M.C., (2015). Fall detection with depth videos. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),443-446.
Alçin, Ö.F., Arı, A., Şengür, A., Ince, M.C., (2015). Iterative hard thresholding based Extreme Learning Machine. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),367-370.
Akbulut, Y., Şengür, A., (2015). Texture classification using scale invariant feature transform and Bag of Words. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),152-155.

Ödüller

Abdulkadir ŞENGÜR has been awarded for distinguished achievement in neutrosophics and has been conferred an honorary membership

Distinguished Achievement in Neutrosophics

Projeler

İçme Suyu Şebeke Rehabilitasyonu ve Su KayıplarınınÖnlenmesi, 17.10.2018-13.11.2019

Yaprak Tanıma Tabanlı Kayısı Bitkisi Sınıflandırma, 11.03.2016-11.06.2017

Diyabetik Retinopati Tespiti için Görüntü işleme Temelli Sanal Anjiyografi Sistemi Tübitak 1512, 01.07.2016-01.01.2018

Cilt Analiz ve Tanımlama Sistemi, 15.04.2014-15.04.2015

Cilt Analiz ve Tanılama Sistemi, 15.04.2014-15.04.2015

Üyelikler

Fırat Teknokent, Baksense ar-ge Ltd. Şti.

Fırat Üniv. Fen Bilimleri Enstitüsü