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Now showing items 921-930 of 991
IoT Based on-the-fly Visual Defect Detection in Railway Tracks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, and expensive, but the accuracy of defect detection is ...
Fuzzy time-frequency defect classifier for NDT applications
(
IEEE
, 2009 , Conference Paper)
In this paper, a customized classifier is presented for the industry-practiced Nondestructive Evaluation (NDE) protocols using a Hybrid-Fuzzy Inference System (FIS) to classify the and characterize the defects commonly ...
Parametric modeling of EEG signals with real patient data for simulating seizures and pre-seizures
(
IEEE
, 2013 , Conference Paper)
Numerous theories and models have been developed to associate various findings or in relating EEG patterns to develop a software simulators. In this paper, a Dynamic model for simulating the EEG signal has been developed ...
On critical point avoidance among mobile terminals in healthcare monitoring applications: Saving lives through reliable communication software
(
IEEE
, 2012 , Conference Paper)
The advances in Microelectromechanical systems (MEMS), battery life, low powered communication standards, more capable processing units, and hybrid communication have cemented the use of mobile Wireless Body Area Networks ...
Robotic toys for autistic children: Innovative tools for teaching and treatment
(
IEEE
, 2013 , Conference Paper)
This paper presents an initial study related to the use of robotic toys as teaching and therapeutic aid tools for teachers and care-givers as well as parents of children with various levels of autism spectrum disorder ...
Embedded system design with filter bank and fuzzy classification approach to critical cardiac abnormalities detection
(
IEEE
, 2012 , Conference Paper)
Embedded Electrocardiogram (E-ECG) based health diagnosis of cardiac diseases has been a saturated area of research and almost any known heart-condition can be detected and diagnosed by doctors in the hospital setting. ...
Linear Classifier Approach to Detect Alpha Parietal Modulation for Brain Computer Interface
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Brain computer interaction (BCI) based on electroencephalographic (EEG) signal helps people who suffering from disability to carry out their daily life. However, the numerus number of researches have done in this field, ...
Retinal image enhancement using Laplacian pyramidal multi-scaling
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Early detection of retinal diseases is important to avoid complications and permanent vision loss. In this paper retinal neovascularization and molecular degeneration has been emphasized. Neovascularization is in form of ...
Power and task management in wireless body area network based medical monitoring systems
(
Springer Nature
, 2012 , Conference Paper)
Intelligent healthcare systems incorporating wireless sensors in a ubiquitous computing environment have the potential to revolutionize outpatient care. Such systems must balance effective and timely reporting of results ...
Detecting different tasks using EEG-source-temporal features
(
Springer Nature
, 2012 , Conference Paper)
This study proposes a new type of features extracted from Electroencephalography (EEG) signals to distinguish between different tasks. EEG signals are collected from six children aged between two to six years old during ...