Search
Now showing items 81-90 of 282
Automated class-based compression for real-time epileptic seizure detection
(
IEEE Computer Society
, 2018 , Conference Paper)
The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ...
Unipolar Single Reference Multicarrier Sinusoidal Pulse Width Modulation Based 7-level Inverter with Reduced Number of Semiconductor Switches for Renewable Energy Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the present scenario of increasing power demand and depletion of fossil fuel results in the research advancements in the field of renewable energy sources. Among various types of renewable energy sources, photovoltaic ...
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 ...
A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
(
Springer Verlag
, 2018 , Conference Paper)
Automated Diabetic Retinopathy (DR) screening methods with high accuracy have the strong potential to assist doctors in evaluating more patients and quickly routing those who need help to a specialist. In this work, we ...
Power angle control of grid-connected capacitor-tapped multi-module voltage source converter
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
HVDC transmission suits transmitting large amounts of renewable energy power over long distances with low transmission losses. The Capacitor-Tapped Multi-module Converter (CT-MC) can be employed effectively to integrate ...
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
(
International Institute of Acoustics and Vibration, IIAV
, 2018 , Conference Paper)
In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ...
An Ensemble Learning Method Based on Random Subspace Sampling for Palmprint Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Palmprint recognition is an important and widely used biometric modality with high reliability, stability and user acceptability. In this paper we propose a simple and effective ensemble learning method for palmprint ...
Unsupervised Technique for Anomaly Detection in Qatar Stock Market
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
The aim of anomaly detection is to find patterns or data points that are not confirming the expected behavior inside the dataset. Techniques from a variety of disciplines like machine learning, statistics, information ...
Efficient hardware implementation of the ?1-Regularized least squares for IoT edge computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
As the use of compressed sensing (CS) in internet of things (IoT) wearable nodes increases, the need for high performance and low power CS reconstruction algorithms for the battery powered IoT Edge Devices also increases. ...
QR2: A third-party query reranking service over web databases
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, in practice, many such databases fail to ...