Remaining useful life prediction based on normalizing flow embedded sequence-to-sequence learning

H Yang, K Ding, RC Qiu, T Mi - IEEE Transactions on Reliability, 2020 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction is of fundamental importance in reliability analysis
and health diagnosis of complex industrial systems. Aiming at improving the prediction …

[HTML][HTML] Enhanced cognitive demodulation with artificial intelligence

H Ren, SH Shin, S Lucyszyn - Scientific Reports, 2020 - nature.com
Abstract The low-cost 'THz Torch'wireless link technology is still in its infancy. Until very
recently, inherent limitations with available hardware has resulted in a modest operational …

[PDF][PDF] Accurate Phase Detection for ZigBee Using Artificial Neural Network

A Alqahtani, AA Alsulami, S Alahmari… - Intell. Autom. Soft …, 2023 - cdn.techscience.cn
The IEEE802. 15.4 standard has been widely used in modern industry due to its several
benefits for stability, scalability, and enhancement of wireless mesh networking. This …

Training deep filters for physical-layer frame synchronization

S Kalade, LH Crockett… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
In this paper we demonstrate the application of Fully Convolutional Neural Network (FCN)
for Frame Synchronization (FS) in bursty single carrier transmissions, commonly used in …

Recurrent network with attention for symbol detection in communication systems

K Chia, VM Baskaran, KS Wong… - … on Intelligent Signal …, 2022 - ieeexplore.ieee.org
One major challenge for wireless receivers to maintain information fidelity involves the
demodulation of faded signals in noisy environments. Typical demodulation techniques for …

Deep learning for wireless communications: flexible architectures and multitask learning

S Kalade - 2024 - stax.strath.ac.uk
Demand for wireless connectivity has never been higher and continues to grow rapidly.
Connecting more devices requires mindfulness in managing the limited resources of energy …

Impairment Mitigation in Narrowband Land Mobile Radio System using Integrated Deep Learning Framework

IANCWAI WONG - 2023 - bridges.monash.edu
Land Mobile Radio is a narrowband two-way wireless communication system developed for
public safety operations and emergency response. The wireless communication channel …

Машинное обучение для демодуляции сигналов

АС Гусев, ВС Иванов, АА Ильин - Технологии. Инновации. Связь, 2022 - elibrary.ru
При прохождении через среду сигнал подвергается воздействию шума, что затрудняет
его демодуляцию. Глубокое обучение показало свою эффективность в работе с …

[PDF][PDF] Automatic Security Testing of the Wireless IoT

J Pohl - 2020 - researchgate.net
Abstract The Internet of Things (IoT) brings comfort into the life of users. It is convenient to
control the lights at home with an app without leaving the couch or open the front door with a …

[引用][C] Частотно-регульований електропривод підвищеної радіаційної стійкості для вантажопідйомних машин сховища радіоактивних відходів

ДД Мугенов - 2023 - КПІ ім. Ігоря Сікорського