Browsing by Author "Malik J."
Now showing items 1-10 of 10
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3D Quantum Cuts for automatic segmentation of porous media in tomography images
Malik J.; Kiranyaz, Mustafa Serkan; Al-Raoush R.I.; Monga O.; Garnier P.; Foufou S.; Bouras A.; Iosifidis A.; Gabbouj M.; Baveye P.C.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ... -
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
Ince T.; Malik J.; Devecioglu O.C.; Kiranyaz, Mustafa Serkan; Avci O.; Eren L.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Exploiting heterogeneity in operational neural networks by synaptic plasticity
Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; Gabbouj M.... more authors ... less 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 ... -
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.; Abouhasera R.; Zabihi M.; Malik J.; Hamila R.; Gabbouj M.... more authors ... less 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 ... -
Real-Time Glaucoma Detection from Digital Fundus Images Using Self-ONNs
Devecioglu O.C.; Malik J.; Ince T.; Kiranyaz, Mustafa Serkan; Atalay E.; Gabbouj M.... more authors ... less 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 ... -
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
Malik J.; Devecioglu O.C.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( IEEE Computer Society , 2021 , Article)Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ... -
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Tahir A.M.; Ibtehaz N.; Hossain M.S.; Kiranyaz, Mustafa Serkan; Malik J.; Monawwar H.; Kadir M.A.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ... -
Self-organized operational neural networks for severe image restoration problems
Malik J.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Elsevier Ltd , 2021 , Article)Discriminative learning based on convolutional neural networks (CNNs) aims to perform image restoration by learning from training examples of noisy-clean image pairs. It has become the go-to methodology for tackling image ... -
Self-organized Operational Neural Networks with Generative Neurons
Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; Gabbouj M.... more authors ... less 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 ... -
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; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)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 ...