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Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
(
IEEE
, 2013 , Conference Paper)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ...
ShakeMe: Key generation from shared motion
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. ...
Robust detection of acoustic partial discharge signals in noisy environments
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Partial discharge (PD) can be used to predict insulation failures in power transformers. Accurate detection of particular PD types has a significant role in anticipating forthcoming outages. However, the noise encountered ...
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such ...
Robust feature point detectors for car make recognition
(
Elsevier B.V.
, 2018 , Article)
An Automatic Vehicle Make and Model Recognition (AVMMR) system can be a useful add-on tool to Automatic Number Plate Recognition (ANPR) to address potential car cloning, including intelligence collection by the police to ...
Text-dependent writer identification for arabic handwriting
(
Hindawi Publishing Corporation
, 2012 , Article)
This paper proposes a system for text-dependent writer identification based on Arabic handwriting. First, a database of words was assembled and used as a test base. Next, features vectors were extracted from writers' word ...
Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Partial discharge (PD) can be used as an indicator of impending failure in electrical plant insulation making the accurate classification of particular occurrence patterns useful for anticipating forthcoming outages. In ...
On the selection of time-frequency features for improving the detection and classification of newborn EEG seizure signals and other abnormalities
(2012 , Conference Paper)
This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by translating some relevant time features or frequency features to the joint time-frequency domain. ...
Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery
(
Springer
, 2011 , Article)
This paper proposes an automatic classification system for the use in prostate cancer diagnosis. The system aims to detect and classify prostatic tissue textures captured from microscopic samples taken from needle biopsies. ...
Car Make And Model Detection System
(
Hamad bin Khalifa University Press (HBKU Press)
, 2014 , Conference Paper)
The deployment of highly intelligent and efficient machine vision systems accomplished to achieve new heights in multiple fields of human activity. A successful replacement of manual intervention with their automated systems ...