Federated learning for 6G-enabled secure communication systems: a comprehensive survey
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Wireless sensor network as a mesh: Vision and challenges
Nowadays, network technologies are developing very rapidly. The growing volume of
transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter …
transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter …
Proposition of new ensemble data-intelligence models for surface water quality prediction
An accurate prediction of water quality (WQ) related parameters is considered as pivotal
decisive tool in sustainable water resources management. In this study, five different …
decisive tool in sustainable water resources management. In this study, five different …
Boosted artificial intelligence model using improved alpha-guided grey wolf optimizer for groundwater level prediction: Comparative study and insight for federated …
Modeling groundwater level (GWL) is a challenging task particularly in intensive
groundwater-based irrigated regions due to its dependency on multiple natural and …
groundwater-based irrigated regions due to its dependency on multiple natural and …
Performances of MLR, RBF-NN, and MLP-NN in the evaluation and prediction of water resources quality for irrigation purposes under two modeling scenarios
JC Egbueri, JC Agbasi - Geocarto International, 2022 - Taylor & Francis
One of the pivotal decision-making tools for sustainable management of water resources for
various uses is accurate prediction of water quality. In the present paper, multiple linear …
various uses is accurate prediction of water quality. In the present paper, multiple linear …
The next generation of soil and water bodies heavy metals prediction and detection: New expert system based Edge Cloud Server and Federated Learning …
ZM Yaseen - Environmental Pollution, 2022 - Elsevier
Heavy metals (HMs) in soil and water bodies greatly threaten human health. The wide
separation of HMs urges the necessity to develop an expert system for HMs prediction and …
separation of HMs urges the necessity to develop an expert system for HMs prediction and …
Big data analysis framework for water quality indicators with assimilation of IoT and ML
According to the United Nations, the Sustainable Development Goal '6'seeks to ensure the
availability and sustainable management of water for all. Digital technologies, such as big …
availability and sustainable management of water for all. Digital technologies, such as big …
[HTML][HTML] Strategies for classifying water quality in the Cauvery River using a federated learning technique
Artificial intelligence methods are emerging techniques used in the field of environmental
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …
Cooperative networking strategy of UAV cluster for large-scale WSNs
Y Chen, H Liu, J Guo, Y Wang, F Liu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
To solve the shortcomings of wireless sensor networks (WSNs) in data collection in a wide
range, long distance, and other complex environments, such as high networking cost, short …
range, long distance, and other complex environments, such as high networking cost, short …