[HTML][HTML] A review on machine learning techniques for secured cyber-physical systems in smart grid networks

MK Hasan, RA Abdulkadir, S Islam, TR Gadekallu… - Energy Reports, 2024 - Elsevier
The smart grid (SG) is an advanced cyber-physical system (CPS) that integrates power grid
infrastructure with information and communication technologies (ICT). This integration …

Machine learning for radio propagation modeling: a comprehensive survey

M Vasudevan, M Yuksel - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
With recent advancements in the telecommunication industry and the deployment of 5G
networks, radio propagation modeling is considered a fundamental task in planning and …

Machine learning with computer networks: Techniques, datasets and models

H Afifi, S Pochaba, A Boltres, D Laniewski… - IEEE …, 2024 - ieeexplore.ieee.org
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

Extremely randomized trees regressor scheme for mobile network coverage prediction and REM construction

CE García, I Koo - IEEE Access, 2023 - ieeexplore.ieee.org
In mobile communications network planning (and designing any radio system), coverage
prediction helps network operators optimize cellular networks to improve customer …

Wetlinks: a large-scale longitudinal starlink dataset with contiguous weather data

D Laniewski, E Lanfer, B Meijerink… - 2024 8th Network …, 2024 - ieeexplore.ieee.org
Low Orbit Satellite (LEO) networks such as Starlink promise Internet access everywhere
around the world. In this paper, we present WetLinks-a large and publicly available trace …

[HTML][HTML] A comparative study of machine learning-based load balancing in high-speed train system

E Gures, I Yazici, I Shayea, M Sheikh, M Ergen… - Alexandria Engineering …, 2023 - Elsevier
With the rapid developments of fifth generation (5G) mobile communication networks in
recent years, different use cases can now significantly benefit from 5G networks. One such …

Machine learning-based online coverage estimator (MLOE): Advancing mobile network planning and optimization

MFA Fauzi, R Nordin, NF Abdullah… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, the dependency on high-performance digital mobile connectivity is not limited to
human usage but also the intelligent objects increasingly deployed to serve the needs of …

Hyperparameter Optimization of Random Forest Algorithm to Enhance Performance Metric Evaluation of 5G Coverage Prediction

H Yuliana, S Basuki, MR Hidayat… - Buletin Pos dan …, 2024 - bpostel.kominfo.go.id
Utilizing of 5G technology has become a major focus in the development of more advanced
and efficient telecommunications networks. In this context, 5G coverage prediction becomes …