Now showing items 1341-1360 of 2886

    • Matlab/Simulink Modeling and Simulation of Electric Appliances Based on their Actual Current Waveforms 

      Gastli A.; Kiranyaz, Mustafa Serkan; Hamila R.; Ellabban O. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)
      This paper presents a novel modeling technique of electric appliances using Matlab/Simulink based on their actual measured current waveforms. Home appliances were used as the study case, but the proposed approach can be ...
    • Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification 

      Ahishali M.; Ince T.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)
      In this work, we propose to use learned features for terrain classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the learned features are extracted from sliding ...
    • Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models 

      Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( IEEE Computer Society , 2019 , Conference)
      Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ...
    • Control of plate vibrations with artificial neural networks and piezoelectricity 

      Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2020 , Conference)
      This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ...
    • Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines 

      Zabihi M.; Kiranyaz, Mustafa Serkan; Jantti V.; Lipping T.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ...
    • Real-time throughput prediction for cognitive Wi-Fi networks 

      Khan M.A.; Hamila R.; Al-Emadi N.A.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Academic Press , 2020 , Article)
      Wi-Fi as a wireless networking technology has become a widely acceptable commonplace. Over the course of time, the applications landscape of Wi-Fi networks is growing tremendously. The proliferation of new services is ...
    • Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection 

      Kiranyaz, Mustafa Serkan; Degerli A.; Hamid T.; Mazhar R.; Fadil Ahmed R.E.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ...
    • Progressive Operational Perceptrons with Memory 

      Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Iosifidis A. ( Elsevier B.V. , 2020 , Article)
      Generalized Operational Perceptron (GOP) was proposed to generalize the linear neuron model used in the traditional Multilayer Perceptron (MLP) by mimicking the synaptic connections of biological neurons showing nonlinear ...
    • Heterogeneous Multilayer Generalized Operational Perceptron 

      Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Iosifidis A. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized ...
    • Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks 

      Ahishali M.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      In this work, we propose a novel classification approach based on dual-band one-dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency polarimetric SAR (PolSAR) data. The proposed approach ...
    • An intelligent and low-cost eye-tracking system for motorized wheelchair control 

      Dahmani M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Al-Jayyousi K.; ... more authors ( MDPI AG , 2020 , Article)
      In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases ...
    • Human experts vs. machines in taxa recognition 

      Arje J.; Raitoharju J.; Iosifidis A.; Tirronen V.; Meissner K.; ... more authors ( Elsevier B.V. , 2020 , Article)
      The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards ...
    • Operational neural networks 

      Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Springer , 2020 , Article)
      Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on the function ...
    • Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images 

      Ahishali, Mete; Degerli, Aysen; Yamac, Mehmet; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning system for the early diagnosis of COVID-19 ...
    • Early Detection of Myocardial Infarction in Low-Quality Echocardiography 

      Degerli, Aysen; Zabihi, Morteza; Kiranyaz, Serkan; Hamid, Tahir; Mazhar, Rashid; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent ...
    • Detection and severity classification of COVID-19 in CT images using deep learning 

      Qiblawey Y.; Tahir A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; ... more authors ( MDPI , 2021 , Article)
      Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ...
    • Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks 

      Kiranyaz, Mustafa Serkan; Zabihi M.; Rad A.B.; Ince T.; Hamila R.; ... more authors ( Elsevier B.V. , 2020 , Article)
      The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ...
    • Classification of polarimetric SAR images using compact convolutional neural networks 

      Ahishali M.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( Bellwether Publishing, Ltd. , 2021 , Article)
      Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research area with a major role in environmental applications. The traditional Machine Learning (ML) methods proposed in this domain ...
    • Generalized Operational Classifiers for Material Identification 

      Jiang X.; Wang D.; Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Material is one of the intrinsic features of objects, and consequently material recognition plays an important role in image understanding. The same material may have various shapes and appearance, while keeping the same ...
    • Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms 

      Rahman A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Zaman K.S.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other ...