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 …
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
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 …
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
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 …
systems (eg, the prediction of mobility, traffic and topology) as the temporal link prediction …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
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
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 …
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 …
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
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 …
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
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 …
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
Streamflow prediction is a significant undertaking for water resources planning and
management. Accurate forecasting of streamflow always being a challenging task for the …
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 …
increasing complexity and variability of the whole sugar system. Moreover, they need to …