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Now showing items 11-20 of 28
Multiscale denoising of biological data: A comparative analysis
(
IEEE
, 2012 , Article)
Abstract: Measured microarray genomic and metabolic data are a rich source of information about the biological systems they represent. For example, time-series biological data can be used to construct dynamic genetic ...
Parameter estimation of biological phenomena: An unscented kalman filter approach
(
IEEE
, 2013 , Article)
Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models ...
Centralized-decentralized RB allocation based on genetic algorithm and coordination over X2 interface in LTE uplink
(
VDE Verlag GmbH
, 2015 , Conference Paper)
In this paper, we present a method for resource block allocation for the LTE uplink system. It aims to minimize the inter-cell interference and maximize the channel capacity. The genetic algorithm is used to come up with ...
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
(
IEEE Computer Society
, 2022 , Article)
Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ...
An intelligent and low-cost eye-tracking system for motorized wheelchair control
(
MDPI AG
, 2020 , Article)
In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases ...
A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
(
MDPI
, 2022 , Article)
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop ...
Heterogeneous Multilayer Generalized Operational Perceptron
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized ...
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ...
Efficient phase estimation for the classification of digitally phase modulated signals using the cross-WVD: A performance evaluation and comparison with the S-transform
(2012 , Article)
This article presents a novel algorithm based on the cross-Wigner-Ville Distribution (XWVD) for optimum phase estimation within the class of phase shift keying signals. The proposed method is a special case of the genera ...
Improving performance of deblocking techniques using image fusion
(2012 , Conference Paper)
Block based transform coding is the most popular technique for image and video compression. However, images compressed using block based algorithms exhibit blocking which is one of the most annoying artifacts in compressed ...