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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, ...
Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks
(
Springer International Publishing
, 2016 , Article)
In this paper, we propose and investigate two novel techniques to perform multiple relay selection in large multi-hop decode-and-forward relay networks. The two proposed techniques exploit sparse signal recovery theory to ...
Three-wire bipolar high-voltage direct current line using an existing single-circuit high-voltage alternating current line for integrating renewable energy sources in multiterminal DC networks
(
Institution of Engineering and Technology
, 2016 , Article)
When compared with conventional point-To-point high-voltage direct current (HVDC) systems, multiterminal HVDC (MTDC) systems are more economical and flexible. MTDC systems can tie distributed high power renewable energy ...
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ...
Fuzzy intervention in biological phenomena
(
IEEE
, 2012 , Article)
An important objective of modeling biological phenomena is to develop therapeutic intervention strategies to move an undesirable state of a diseased network toward a more desirable one. Such transitions can be achieved by ...
On hierarchical network coding versus opportunistic user selection for two-way relay channels with asymmetric data rates
(
IEEE
, 2013 , Article)
We address in this paper the challenge of coping with asymmetric data rates in two-way relay channels. We consider a relay network comprising two sources and one relay. The sources communicate at different rates through ...
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
(
IEEE Computer Society
, 2021 , Article)
Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ...
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 ...
Operational neural networks
(
Springer
, 2020 , Article)
Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on the function ...
Progressive Operational Perceptrons with Memory
(
Elsevier B.V.
, 2020 , Article)
Generalized Operational Perceptron (GOP) was proposed to generalize the linear neuron model used in the traditional Multilayer Perceptron (MLP) by mimicking the synaptic connections of biological neurons showing nonlinear ...