Solving optimization problems of metamaterial and double T-shape antennas using advanced meta-heuristics algorithms

DS Khafaga, AA Alhussan, ESM El-Kenawy… - IEEE …, 2022 - ieeexplore.ieee.org
This study offers an adaptive dynamic sine cosine fitness grey wolf optimizer (ADSCFGWO)
for optimizing the parameters of two types of antennas. The two types of antennas are …

Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery

SV Razavi-Termeh, A Sadeghi-Niaraki, MB Seo… - Science of The Total …, 2023 - Elsevier
Floods are the natural disaster that occurs most frequently due to the weather and causes
the most widespread destruction. The purpose of the proposed research is to analyze flood …

[HTML][HTML] A hierarchical methodology for vessel traffic flow prediction using Bayesian tensor decomposition and similarity grouping

W Xing, J Wang, K Zhou, H Li, Y Li, Z Yang - Ocean Engineering, 2023 - Elsevier
Accurate vessel traffic flow (VTF) prediction can enhance navigation safety and economic
efficiency. To address the challenge of the inherently complex and dynamic growth of the …

DDoS attack detection in IoT environment using optimized Elman recurrent neural networks based on chaotic bacterial colony optimization

MIT Hussan, GV Reddy, PT Anitha, A Kanagaraj… - Cluster …, 2023 - Springer
Abstract The Internet of Things (IoT) is made up of billions of interconnected devices that can
transmit and receive data over the Internet. IoT devices have many vulnerabilities that …

[HTML][HTML] Road traffic forecast based on meteorological information through deep learning methods

FJ Braz, J Ferreira, F Gonçalves, K Weege, J Almeida… - Sensors, 2022 - mdpi.com
Forecasting road flow has strong importance for both allowing authorities to guarantee
safety conditions and traffic efficiency, as well as for road users to be able to plan their trips …

[HTML][HTML] A practical model for the evaluation of high school student performance based on machine learning

M Zafari, A Sadeghi-Niaraki, SM Choi, A Esmaeily - Applied Sciences, 2021 - mdpi.com
The objective of this research is to develop an machine learning (ML)-based system that
evaluates the performance of high school students during the semester and identify the most …

An energy efficient data fault prediction based clustering and routing protocol using hybrid ASSO with MERNN in wireless sensor network

G Mahalakshmi, S Ramalingam… - Telecommunication …, 2024 - Springer
Wireless sensor networks (WSNs) and Internet of Things (IoT) are essential for numerous
applications. WSN nodes often operate on limited battery capacity, so energy efficiency is a …

[HTML][HTML] A hybrid framework model based on wavelet neural network with improved fruit fly optimization algorithm for traffic flow prediction

Q Zhang, C Li, C Yin, H Zhang, F Su - Symmetry, 2022 - mdpi.com
Accurate traffic flow prediction can provide sufficient information for the formation of
symmetric traffic flow. To overcome the problem that the basic fruit fly optimization algorithm …

Stacked LSTM for short-term traffic flow prediction using multivariate time series dataset

MA Mondal, Z Rehena - Arabian Journal for Science and Engineering, 2022 - Springer
Short-term traffic flow prediction has paramount importance in intelligent transportation
systems for proactive traffic management. In this paper, a short-term traffic flow prediction …

A comprehensive survey on communication techniques for the realization of intelligent transportation systems in IoT based smart cities

Y Rajkumar, SVN Santhosh Kumar - Peer-to-Peer Networking and …, 2024 - Springer
Traffic has been on the rise since the past decade that pose threats to driving safety and
traffic efficiency. Intelligent Transportation System (ITS) evolved as an alternative solution to …