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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 ...
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 ...
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 ...
A Novel UAV-Aided Network Architecture Using Wi-Fi Direct
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The use of unmanned aerial vehicles (UAVs) in future wireless networks is gaining attention due to their quick deployment without requiring the existing infrastructure. Earlier studies on UAV-aided communication consider ...
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 ...
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
(
IEEE Computer Society
, 2017 , Conference Paper)
Atrial Fibrillation (AF) is characterized by chaotic electrical impulses in the atria, which leads to irregular heartbeats and can develop blood clots and stroke. Therefore, early detection of AF is crucial for increasing ...
An optimized k-NN approach for classification on imbalanced datasets with missing data
(
Springer Verlag
, 2016 , Conference Paper)
In this paper, we describe our solution for the machine learning prediction challenge in IDA 2016. For the given problem of 2-class classification on an imbalanced dataset with missing data, we first develop an imputation ...