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Now showing items 61-70 of 71
A vector quantization based k-NN approach for large-scale image classification
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The k-nearest-neighbour classifiers (k-NN) have been one of the simplest yet most effective approaches to instance based learning problem for image classification. However, with the growth of the size of image datasets and ...
Fault-tolerant control of multi-agent systems based on adaptive fault hiding framework
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, a fault tolerant control (FTC) scheme for multi-agent systems subject to loss of effectiveness actuator faults is investigated. The main objective of the proposed FTC approach is to keep the performance of ...
A sensor fault detection and isolation strategy by using a Dendritic Cell Algorithm
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, an online sensor fault detection and isolation (FDI) scheme is proposed based on an emerging Artificial Immune System (AIS) algorithm, namely Dendritic Cell Algorithm (DCA). Our proposed methodology is ...
Structural damage detection in real time: Implementation of 1D convolutional neural networks for SHM applications
(
Springer
, 2017 , Conference Paper)
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
(
Springer Verlag
, 2017 , Conference Paper)
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 ...
A k-nearest neighbor multilabel ranking algorithm with application to content-based image retrieval
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Multilabel ranking is an important machine learning task with many applications, such as content-based image retrieval (CBIR). However, when the number of labels is large, traditional algorithms are either infeasible or ...
Vibration suppression in metastructures using zigzag inserts optimized by genetic algorithms
(
Springer New York LLC
, 2017 , Conference Paper)
Metastructures are known to provide considerable vibration attenuation for mechanical systems. With the optimization of the internal geometry of metastructures, the suppression performance of the host structure increases. ...
Atmospheric turbulence effect on hybrid FSO/RF systems
(
IEEE Computer Society
, 2017 , Conference Paper)
This article is focused on the atmospheric turbulence attenuation and their effect on the hybrid free space optical and radio frequency (FSO/RF) under Qatar harsh and dry climate. Analysis has been done by calculating the ...
Indoor test of the fog's effect on FSO link
(
SPIE
, 2017 , Conference Paper)
In order to distinguish the most rigorous model, we made a comparison between measurements data and the mostly used empirical models. These models use the visibility as a basic parameter to predict the fog attenuation. In ...
An experimental performance evaluation of the hybrid FSO/RF
(
SPIE
, 2017 , Conference Paper)
This paper is a first attempt to study the effects of atmospheric turbulences on hybrid free space optics/ radio frequency (FSO/RF) transmission system in Doha, Qatar. The state of Qatar is characterized by a Mediterranean ...