Search Results - "Kiranyaz, Serkan"
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Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
Published in IEEE transactions on industrial electronics (1982) (01-11-2016)“…Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two…”
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2
Integrating Color Features in Polarimetric SAR Image Classification
Published in IEEE transactions on geoscience and remote sensing (01-04-2014)“…Polarimetric synthetic aperture radar (PolSAR) data are used extensively for terrain classification applying SAR features from various target decompositions…”
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3
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Published in Journal of sound and vibration (03-02-2017)“…Structural health monitoring (SHM) and vibration-based structural damage detection have been a continuous interest for civil, mechanical and aerospace…”
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A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Published in Mechanical systems and signal processing (15-01-2021)“…•The transition from traditional methods to ML and DL has never been discussed for vibration-based SDD.•This paper aims to fulfill this gap.•Traditional…”
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Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias
Published in Scientific reports (24-08-2017)“…Each year more than 7 million people die from cardiac arrhythmias. Yet no robust solution exists today to detect such heart anomalies right at the moment they…”
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6
Operational neural networks
Published in Neural computing & applications (01-06-2020)“…Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their…”
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Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Published in Computers in biology and medicine (01-05-2021)“…Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during…”
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1-D Convolutional Neural Networks for Signal Processing Applications
Published in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (01-05-2019)“…1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific…”
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Conference Proceeding -
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Evolutionary artificial neural networks by multi-dimensional particle swarm optimization
Published in Neural networks (01-12-2009)“…In this paper, we propose a novel technique for the automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s)…”
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10
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
Published in IEEE transaction on neural networks and learning systems (01-12-2016)“…In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be…”
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Smart binary phase‐coding for pulse‐compression radar: An electronic protection technique against repeater jamming
Published in IET wireless sensor systems (01-06-2024)“…Nowadays, modern radar systems increase their target detection capabilities by processing pulses coherently. On the other hand, digital radio frequency…”
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An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control
Published in Sensors (Basel, Switzerland) (15-07-2020)“…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…”
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Early Detection of Myocardial Infarction in Low-Quality Echocardiography
Published in IEEE access (2021)“…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…”
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14
Real-Time Glaucoma Detection From Digital Fundus Images Using Self-ONNs
Published in IEEE access (2021)“…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…”
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Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks
Published in Remote sensing (Basel, Switzerland) (01-06-2019)“…Accurate land use/land cover classification of synthetic aperture radar (SAR) images plays an important role in environmental, economic, and nature related…”
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Competitive Quantization for Approximate Nearest Neighbor Search
Published in IEEE transactions on knowledge and data engineering (01-11-2016)“…In this study, we propose a novel vector quantization algorithm for Approximate Nearest Neighbor (ANN) search, based on a joint competitive learning strategy…”
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Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain
Published in Frontiers in microbiology (27-08-2018)“…Over the last 60 years, soil microbiologists have accumulated a wealth of experimental data showing that the bulk, macroscopic parameters (e.g., granulometry,…”
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Classification of polarimetric SAR images using compact convolutional neural networks
Published in GIScience and remote sensing (02-01-2021)“…Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research area with a major role in environmental applications. The…”
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A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
Published in Sensors (Basel, Switzerland) (01-01-2022)“…Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring…”
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1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals Under White Gaussian Noise
Published in IEEE access (2020)“…In this study we analyze the signal classification performances of various classifiers for deterministic signals under the additive White Gaussian Noise (WGN)…”
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