Electrical Engineering: المرسلات الحديثة

السجلات المعروضة 1361 -- 1380 من 2821

    • Self-organized Operational Neural Networks with Generative Neurons 

      Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; ... more authors ( Elsevier Ltd , 2021 , Article)
      Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ...

    • Exploiting heterogeneity in operational neural networks by synaptic plasticity 

      Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ...

    • A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications 

      Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Hussein M.; Gabbouj M.; ... more authors ( Academic Press , 2021 , Article Review)
      Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, ...

    • Real-Time Glaucoma Detection from Digital Fundus Images Using Self-ONNs 

      Devecioglu O.C.; Malik J.; Ince T.; Kiranyaz, Mustafa Serkan; Atalay E.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits visual images to the brain. The fact that glaucoma does not show any symptoms as it progresses and cannot be stopped at the later ...

    • Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer 

      Soltanian M.; Malik J.; Raitoharju J.; Iosifidis A.; Kiranyaz, Mustafa Serkan; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Progressive Operational Perceptrons 

      Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Elsevier B.V. , 2017 , Article)
      There are well-known limitations and drawbacks on the performance and robustness of the feed-forward, fully-connected Artificial Neural Networks (ANNs), or the so-called Multi-Layer Perceptrons (MLPs). In this study we ...

    • Particle swarm clustering fitness evaluation with computational centroids 

      Raitoharju J.; Samiee K.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Elsevier B.V. , 2017 , Article)
      In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ...

    • Optimization on ports activation towards energy efficient data center networks 

      Chkirbene Z.; Hamila R.; Foufou S.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2018 , Conference)
      Nowadays, Internet of thing including network support (i.e. checking social media, sending emails, video conferencing) requires smart and efficient data centers to support these services. Hence, data centers become more ...

    • Structural damage detection in real time: Implementation of 1D convolutional neural networks for SHM applications 

      Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer , 2017 , Conference)
      Most of the classical structural damage detection systems involve two processes, feature extraction and feature classification. Usually, the feature extraction process requires large computational effort which prevent the ...

    • Learned vs. hand-designed features for ECG beat classification: A comprehensive study 

      Ince T.; Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2017 , Conference)
      In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ...

    • Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks 

      Kiranyaz, Mustafa Serkan; Waris M.-A.; Ahmad I.; Hamila R.; Gabbouj M. ( IEEE Computer Society , 2016 , Conference)
      In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. ...