Smart cities: A survey on data management, security, and enabling technologies

A Gharaibeh, MA Salahuddin… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Integrating the various embedded devices and systems in our environment enables an
Internet of Things (IoT) for a smart city. The IoT will generate tremendous amount of data that …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

GCN-GAN: A non-linear temporal link prediction model for weighted dynamic networks

K Lei, M Qin, B Bai, G Zhang… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
In this paper, we generally formulate the dynamics prediction problem of various network
systems (eg, the prediction of mobility, traffic and topology) as the temporal link prediction …

Machine learning meets communication networks: Current trends and future challenges

I Ahmad, S Shahabuddin, H Malik, E Harjula… - IEEE …, 2020 - ieeexplore.ieee.org
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques

N Bui, M Cesana, SA Hosseini, Q Liao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

A Secure Machine Learning-Based Optimal Routing in Ad Hoc Networks for Classifying and Predicting Vulnerabilities

A Reddy Yeruva, E Saleh Alomari… - Cybernetics and …, 2023 - Taylor & Francis
In both the military and the civilian sectors, next-generation wireless networks can be
employed for a wide range of intricate and adaptive applications. It is possible that …

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models

R Barzegar, E Fijani, AA Moghaddam… - Science of the Total …, 2017 - Elsevier
Accurate prediction of groundwater level (GWL) fluctuations can play an important role in
water resources management. The aims of the research are to evaluate the performance of …

RETRACTED ARTICLE: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

A Toghroli, M Suhatril, Z Ibrahim, M Safa… - Journal of Intelligent …, 2018 - Springer
Abstract Evaluation of the parameters affecting the shear strength and ductility of steel–
concrete composite beam is the goal of this study. This study focuses on predicting the future …

A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin

D Hussain, T Hussain, AA Khan, SAA Naqvi… - Earth Science …, 2020 - Springer
Streamflow prediction is a significant undertaking for water resources planning and
management. Accurate forecasting of streamflow always being a challenging task for the …

Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network

P Taherei Ghazvinei… - Engineering …, 2018 - Taylor & Francis
Management strategies for sustainable sugarcane production need to deal with the
increasing complexity and variability of the whole sugar system. Moreover, they need to …