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Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks
(
Elsevier
, 2018 , Article)
© 2018 Elsevier Ltd Being an alternative to conventional wired sensors, wireless sensor networks (WSNs) are extensively used in Structural Health Monitoring (SHM) applications. Most of the Structural Damage Detection (SDD) ...
Dual and single polarized sar image classification using compact convolutional neural networks
(
MDPI AG
, 2019 , Article)
Accurate land use/land cover classification of synthetic aperture radar (SAR) images plays an important role in environmental, economic, and nature related research areas and applications. When fully polarimetric SAR data ...
Comparison of polarimetric SAR features for terrain classification using incremental training
(
Electromagnetics Academy
, 2017 , Conference Paper)
In this study, the most commonly used polarimetric SAR features including the complete coherency (or covariance) matrix information, features obtained from several coherent and incoherent target decompositions, the ...
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
(
Academic Press
, 2017 , Article)
Structural health monitoring (SHM) and vibration-based structural damage detection have been a continuous interest for civil, mechanical and aerospace engineers over the decades. Early and meticulous damage detection has ...
Optimization of linear zigzag insert metastructures for low-frequency vibration attenuation using genetic algorithms
(
Academic Press
, 2017 , Article)
Vibration suppression remains a crucial issue in the design of structures and machines. Recent studies have shown that with the use of metamaterial inspired structures (or metastructures), considerable vibration attenuation ...
Learning graph affinities for spectral graph-based salient object detection
(
Elsevier Ltd
, 2017 , Article)
In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ...
Joint K-Means quantization for Approximate Nearest Neighbor Search
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Recently, Approximate Nearest Neighbor (ANN) Search has become a very popular approach for similarity search on large-scale datasets. In this paper, we propose a novel vector quantization method for ANN, which introduces ...
Salient object segmentation based on linearly combined affinity graphs
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, we propose a graph affinity learning method for a recently proposed graph-based salient object detection method, namely Extended Quantum Cuts (EQCut). We exploit the fact that the output of EQCut is ...
Generalized model of biological neural networks: Progressive operational perceptrons
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Traditional Artificial Neural Networks (ANNs) such as Multi-Layer Perceptrons (MLPs) and Radial Basis Functions (RBFs) were designed to simulate biological neural networks
Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias
(
Nature Publishing Group
, 2017 , Article)
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 occur. The purpose of this study was to design a personalized ...