A novel deep learning and polar transformation framework for an adaptive automatic modulation classification
P Ghasemzadeh, S Banerjee… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is an approach to identify an observed signal's
most likely modulation scheme without any a priori knowledge of the intercepted signal. In …
most likely modulation scheme without any a priori knowledge of the intercepted signal. In …
A novel graph neural network-based framework for automatic modulation classification in mobile environments
P Ghasemzadeh - 2023 - search.proquest.com
Automatic modulation classification (AMC) refers to a signal processing procedure through
which the modulation type and order of an observed signal are identified without any prior …
which the modulation type and order of an observed signal are identified without any prior …
Detecting dark cars in railroad operations using multi-antenna beamforming for long-distance discovery and identification of aei tags
One recurring problem that the North American railroad industry faces is the tracking of lost
railroad cars. Railroad cars are often parked on track sidings of train stations or train depot …
railroad cars. Railroad cars are often parked on track sidings of train stations or train depot …
A novel high-accuracy low-execution time machine learning-driven approach to automatic modulation classification
P Ghasemzadeh, M Hempel… - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
The process of automatic modulation classification (AMC) has gained importance in recent
years. AMC enables receivers to classify an intercepted signal's modulation scheme without …
years. AMC enables receivers to classify an intercepted signal's modulation scheme without …
Deep learning and polar transformation to achieve a novel adaptive automatic modulation classification framework
P Ghasemzadeh - 2020 - digitalcommons.unl.edu
Automatic modulation classification (AMC) is an approach that can be leveraged to identify
an observed signal's most likely employed modulation scheme without any a priori …
an observed signal's most likely employed modulation scheme without any a priori …
Cyber-Physical Systems with Human-in-The-Loop: A Systematic Review of Socio-Technical Perspectives
T Clemmensen, MT Moghaddam… - Available at SSRN … - papers.ssrn.com
Understanding and designing cyber-physical systems with humans-in-the-loop is a basic
cross-scientific research problem with large implications for industry. The current software …
cross-scientific research problem with large implications for industry. The current software …
BIOTRUST: A Novel Biologically Inspired Optimal TRusted User Social Trait-Aware Association for Wireless Proximity Services in 5G and Beyond
S Banerjee - 2020 - search.proquest.com
In the 5G and post-5G networks, the IMT-2020 demand among the devices in terms of
throughput, reliability, low-latency and security can be observed. The intensive demand …
throughput, reliability, low-latency and security can be observed. The intensive demand …