Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

Using artificial intelligence for space challenges: A survey

A Russo, G Lax - Applied Sciences, 2022 - mdpi.com
Artificial intelligence is applied to many fields and contributes to many important applications
and research areas, such as intelligent data processing, natural language processing …

Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials

J Jagannath, A Jagannath, J Henney, T Gwin, Z Kane… - Computer Networks, 2022 - Elsevier
The proliferation of wireless devices and their ever increasing influence on our day-to-day
life is very evident and seems irreplaceable. This exponential growth in demand, both in …

A joint automatic modulation classification scheme in spatial cognitive communication

M Wang, Y Fan, S Fang, T Cui, D Cheng - Sensors, 2022 - mdpi.com
Automatic modulation discrimination (AMC) is one of the critical technologies in spatial
cognitive communication systems. Building a high-performance AMC model in intelligent …

[HTML][HTML] Simulation Training System for Parafoil Motion Controller Based on Actor–Critic RL Approach

X He, J Liu, J Zhao, R Xu, Q Liu, J Wan, G Yu - Actuators, 2024 - mdpi.com
The unique ram air aerodynamic shape and control rope pulling course of the parafoil
system make it difficult to realize its precise control. At present, the commonly used control …

Machine learning pipeline for shift-invariant detection of volcanoes on venus

T Scofield, BM Whitaker - 2020 Intermountain Engineering …, 2020 - ieeexplore.ieee.org
Intelligent algorithms are constantly being developed to improve the ability of machines to
extract and process meaningful data in a variety of situations. In this work, we present a …

[PDF][PDF] Entwicklung eines neuronalen Netzwerks zur Optimierung der Datenübertragungsqualität von Kleinsatellitenplattformen

C Holeczek - 2021 - d-nb.info
Kleinsatelliten sind heute eine zunehmend wichtige Möglichkeit für die Forschung,
Experimente und Nutzlasten in Erdumlaufbahnen zu bringen. Bei diesen Satellitensystemen …

Machine learning pipeline for rare-event detection in synthetic-aperture radar and LIDAR data

TP Scofield - 2021 - scholarworks.montana.edu
In this work, we develop a machine learning pipeline to autonomously classify synthetic
aperture radar (SAR) and lidar data in rare-event, remote sensing applications. Here, we are …