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[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
[HTML][HTML] Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
Computational complexity optimization of neural network-based equalizers in digital signal processing: a comprehensive approach
P Freire, S Srivallapanondh, B Spinnler… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
Experimental results based on offline processing reported at optical conferences
increasingly rely on neural network-based equalizers for accurate data recovery. However …
increasingly rely on neural network-based equalizers for accurate data recovery. However …
Machine learning empowered emerging wireless networks in 6G: Recent advancements, challenges and future trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
A survey on integrated sensing, communication, and computation
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
Point-to-point communication in integrated satellite-aerial 6G networks: State-of-the-art and future challenges
This paper surveys the literature on point-to-point (P2P) links for integrated satellite-aerial
networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of …
networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of …
Computational complexity evaluation of neural network applications in signal processing
In this paper, we provide a systematic approach for assessing and comparing the
computational complexity of neural network layers in digital signal processing. We provide …
computational complexity of neural network layers in digital signal processing. We provide …
A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms
R Rajamoorthy, G Arunachalam… - Energy Sources, Part …, 2022 - Taylor & Francis
ABSTRACT Intelligent Transport System (ITS) intentions to attain traffic efficiency by
diminishing traffic difficulties. It supplies information like traffic issues, real-time traveling …
diminishing traffic difficulties. It supplies information like traffic issues, real-time traveling …
Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …