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An overview of machine learning techniques for radiowave propagation modeling
We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification …
based on machine learning (ML) algorithms. We identify the input and output specification …
Extremely randomized trees-based scheme for stealthy cyber-attack detection in smart grid networks
Smart grids have become susceptible to cyber-attacks, being one of the most diversified
cyber–physical systems. Measurements collected by the supervisory control and data …
cyber–physical systems. Measurements collected by the supervisory control and data …
Constellation design for future communication systems: A comprehensive survey
The choice of modulation schemes is a fundamental building block of wireless
communication systems. As a key component of physical layer design, they critically impact …
communication systems. As a key component of physical layer design, they critically impact …
Path loss prediction based on machine learning methods for aircraft cabin environments
Wireless communications in aircraft cabin environments have drawn widespread attention
with the increase of application requirements. To ensure reliable and stable in-cabin …
with the increase of application requirements. To ensure reliable and stable in-cabin …
Accurate path loss prediction using a neural network ensemble method
Path loss is one of the most important factors affecting base-station positioning in cellular
networks. Traditionally, to determine the optimal installation position of a base station, path …
networks. Traditionally, to determine the optimal installation position of a base station, path …
Performance evaluation of machine learning methods for path loss prediction in rural environment at 3.7 GHz
This paper presents and assesses various machine learning methods that aim at predicting
path loss in rural environment. For this purpose, models such as artificial neural network …
path loss in rural environment. For this purpose, models such as artificial neural network …
Toward effective planning and management using predictive analytics based on rental book data of academic libraries
Large scale data and predictive analytics are the most challenging tasks in the field of
academic data mining. Academic libraries are a great source of information and knowledge …
academic data mining. Academic libraries are a great source of information and knowledge …
Extremely randomized trees regressor scheme for mobile network coverage prediction and REM construction
In mobile communications network planning (and designing any radio system), coverage
prediction helps network operators optimize cellular networks to improve customer …
prediction helps network operators optimize cellular networks to improve customer …
Machine learning-based methods for path loss prediction in urban environment for LTE networks
This work presents prediction path loss models in an urban environment for cellular
networks with the help of machine learning methods. For this goal, Support Vector …
networks with the help of machine learning methods. For this goal, Support Vector …
Predicting path loss of an indoor environment using artificial intelligence in the 28-GHz band
The propagation of signal and its strength in an indoor area have become crucial in the era
of fifth-generation (5G) and beyond-5G communication systems, which use high bandwidth …
of fifth-generation (5G) and beyond-5G communication systems, which use high bandwidth …