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Now showing items 71-80 of 265
On the Error Performance of Non-orthogonal Multiple Access Systems
(
IEEE Computer Society
, 2020 , Conference Paper)
Unlike orthogonal multiple access schemes, non-orthogonal (NOMA) ones have arisen as an appealing solution to meet the requirements of the upcoming era of massive connectivity. In NOMA schemes, users are allowed to ...
Performance Analysis of Index Modulation Based Multiple Access under Imperfect Channel Estimation
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Future generations of wireless communication systems are expected to serve a large number of users with different quality of service requirements. Given the limited spectrum resources, the current multiple access schemes ...
Low Complexity Constellation Rotation-based SIC Detection for IM-NOMA Schemes
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the expected explosive growth in the user density in wireless networks, recent works have investigated the integration of index modulation (IM) with multiple access schemes, namely the non-orthogonal multiple access ...
On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Employing reconfigurable intelligent surfaces (RIS) is emerging as a game-changer candidate, thanks to their unique capabilities in improving the power efficiency and supporting the ubiquity of future wireless communication ...
Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this work, we propose a novel classification approach based on dual-band one-dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency polarimetric SAR (PolSAR) data. The proposed approach ...
Generalized Operational Classifiers for Material Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Material is one of the intrinsic features of objects, and consequently material recognition plays an important role in image understanding. The same material may have various shapes and appearance, while keeping the same ...
Convolutional neural networks for real-time and wireless damage detection
(
Springer New York LLC
, 2020 , Conference Paper)
Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ...
Control of plate vibrations with artificial neural networks and piezoelectricity
(
Springer New York LLC
, 2020 , Conference Paper)
This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ...
Structural health monitoring with self-organizing maps and artificial neural networks
(
Springer New York LLC
, 2020 , Conference Paper)
The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ...
A Scene-to-Speech Mobile based Application: Multiple Trained Models Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The concept of Scene-to-Speech (STS) is to recognize elements in a captured image or a video clip to speak loudly an informative textual content that describes the scene. The contemporary progression in convolution neural ...