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Now showing items 641-650 of 752
A Simple Health-Based Game for Children
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Serious games are widely used in training and education. They can introduce new concepts to learners smoothly. Children like to play video games regularly. They can then play games and learn in a natural manner. In order ...
Deep learning in classifying sleep stages
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
This paper presents a deep feed-forward neural network classifier to automatically classify the stages of sleep using raw data taken from a single electropalatogram channel (Fpz-Cz). No features are extracted at all from ...
DTW based Authentication for Wireless Medical Device Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Wireless medical devices play an important role in providing safety and privacy to patients suffering from major health issues. These light-weight devices can be worn inside or outside the patient's body and provide more ...
Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ...
Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the last few years, the number of patients with chronic diseases requiring constant monitoring increased rapidly, which motivates researchers to develop scalable remote health applications. Nevertheless, the amount of ...
Cloud, Fog, and Edge Computing: A Software Engineering Perspective
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Cloud, Fog, and Edge Computing paradigms have been introduced for data-driven organizations in order to facilitate data computation and processing in an easier manner. Considering that there has been a huge increase in the ...
Gravitational weighted fuzzy c-means with application on multispectral image segmentation
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a novel clustering approach based on the classic Fuzzy c-means algorithm. The approach is inspired from the concept of interaction between objects in physics. Each data point is regarded as a particle. ...
A FCM and SURF based algorithm for segmentation of multispectral face images
(
IEEE
, 2013 , Conference Paper)
In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from ...
Cluster validity index based on n-sphere
(
IEEE
, 2014 , Conference Paper)
In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ...
Vector anisotropic filter for multispectral image denoising
(
SPIE
, 2015 , Conference Paper)
In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix ...