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Now showing items 51-57 of 57
An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Increasing the number of sensors in a gas identification system generally improves its performance as this will add extra features for analysis. However, this affects the computational complexity, especially if the ...
FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
In this paper, we present a novel architecture based on field-programmable gate arrays (FPGAs) for the reconstruction of compressively sensed signal using the orthogonal matching pursuit (OMP) algorithm. We have analyzed ...
Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence
(
Acta Materialia Inc
, 2021 , Article)
Clinical performance of osseointegrated implants could be compromised by the medications taken by patients. The effect of a specific medication on osseointegration can be easily investigated using traditional systematic ...
Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
(2012 , Conference Paper)
A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the signal complexity, quantified as the number of components in the signal. This paper describes a method for the estimation ...
Lifetime maximization for greedy selective relay strategies
(2009 , Conference Paper)
In this paper we propose a new algorithm for selective relay strategies with Amplify-and-Forward (AF) relays which improves the relay network lifetime. The lifetime of the relay network is defined as the maximum number of ...
Performance Comparison of classification algorithms for EEG-based remote epileptic seizure detection in Wireless Sensor Networks
(
IEEE Computer Society
, 2014 , Conference Paper)
Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification is the most important technique for wide-ranging ...
Joint Optimal Placement, Routing, and Flow Assignment in Wireless Sensor Networks for Structural Health Monitoring
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Sensor node placement optimization has a significant role in wireless sensor networks, especially in structural health monitoring. Since sensor node placement affects the routing, optimization should be Jointly done for ...