Browsing by Subject "Iterative methods"
Now showing items 1-16 of 16
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A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ... -
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ... -
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Support estimation (SE) of a sparse signal refers to finding the location indices of the nonzero elements in a sparse representation. Most of the traditional approaches dealing with SE problems are iterative algorithms ... -
COVID-19 infection localization and severity grading from chest X-ray images
( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ... -
Exploiting heterogeneity in operational neural networks by synaptic plasticity
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ... -
Hardware PCA for gas identification systems using high level synthesis on the Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)One of the significant stages in a gas identification system is dimensionality reduction to speed up the processing part. This is even more important when the system is implemented on a hardware platform where the resources ... -
Interference management schemes for multi-user cooperative wireless networks
( John Wiley and Sons Ltd , 2016 , Article)Cooperative communication is a promising technique for future wireless networks. It can be used in improving communication reliability and enhancing spectrum efficiency by using the broadcast nature of radio communication ... -
Iterative per Group Feature Selection for Intrusion Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ... -
K-Subspaces Quantization for Approximate Nearest Neighbor Search
( IEEE Computer Society , 2016 , Article)Approximate Nearest Neighbor (ANN) search has become a popular approach for performing fast and efficient retrieval on very large-scale datasets in recent years, as the size and dimension of data grow continuously. In this ... -
Location privacy preservation in secure crowdsourcing-based cooperative spectrum sensing
( Springer International Publishing , 2016 , Article)Spectrum sensing is one of the most essential components of cognitive radio since it detects whether the spectrum is available or not. However, spectrum sensing accuracy is often degraded due to path loss, interference, ... -
Machine Learning Based Cloud Computing Anomalies Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Recently, machine learning algorithms have been proposed to design new security systems for anomalies detection as they exhibit fast processing with real-time predictions. However, one of the major challenges in machine ... -
Optimal Consensus Time Synchronizations for Wireless Sensor Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Wireless Sensor Networks (WSNs) have received an important consideration in recent years regarding its broad area of applications. Time synchronization is one of the most important challenges of WSNs. This paper proposes ... -
Optimization of 3D network topology for bioinspired design of stiff and lightweight bone-like structures
( Elsevier Ltd , 2021 , Article)A truly bioinspired approach to design optimization should follow the energetically favorable natural paradigm of ?minimum inventory with maximum diversity?. This study was inspired by constructive regression of trabecular ... -
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 ... -
Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper proposes a method for reduction of scheduling dependency in linear parameter-varying (LPV) systems. In particular, both the dimension of the scheduling variable and the corresponding scheduling region are shrunk ... -
Underlay cognitive radio: What is the impact of carrier aggregation and relaying on throughput?
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we investigate joint relay selection and optimal power allocation, as a means to maximize the achievable rate of an underlay cooperative cognitive radio with carrier aggregation, taking into account the ...