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A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Corrosion presents significant challenges in the marine, offshore, and oil and gas industries,
resulting in annual economic losses amounting to billions of dollars. To address these …
resulting in annual economic losses amounting to billions of dollars. To address these …
[HTML][HTML] The Application of Machine Learning and Deep Learning in Intelligent Transportation: A Scientometric Analysis and Qualitative Review of Research Trends
Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …
community for addressing complex issues in intelligent transportation. This has resulted in …
Research on optimization method for traffic signal control at intersections in smart cities based on adaptive artificial fish swarm algorithm
J Wei, Y Ju - Heliyon, 2024 - cell.com
The transportation environment of smart cities is complex and ever-changing, and traffic flow
is influenced by various factors. With the increase of traffic flow in smart cities, optimizing …
is influenced by various factors. With the increase of traffic flow in smart cities, optimizing …
Advances in slime mould algorithm: a comprehensive survey
The slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the
oscillatory behavior of slime moulds during foraging. Numerous researchers have widely …
oscillatory behavior of slime moulds during foraging. Numerous researchers have widely …
SARO‐MB3‐BiGRU: A novel model for short‐term traffic flow forecasting in the context of big data
H Wang, Z Wang, L Li, K Yang, J Zeng… - IET Intelligent …, 2024 - Wiley Online Library
In order to further improve the accuracy of short‐term traffic flow prediction on designated
sections of highways, a combined prediction model is designed in this paper to predict the …
sections of highways, a combined prediction model is designed in this paper to predict the …
Smart housing: integrating machine learning in sustainable urban planning, interior design, and development
Smart housing, therefore, theoretically becomes very vital in this context of a smart city for
sustainable urban planning and development. Machine learning technologies can be …
sustainable urban planning and development. Machine learning technologies can be …
Intelligent prediction of urban road network carrying capacity and traffic flow based on deep learning
Y Cai, J Xu, S Jiao - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
With the rapid growth of urban vehicles, it is necessary to use advanced traffic control
technologies for traffic flow control and traffic diversion, and allocate road resources …
technologies for traffic flow control and traffic diversion, and allocate road resources …
Deep reinforcement learning (DRL) for real-time traffic management in smart cities
With the advent of smart urban spaces, efficient and flexible traffic management has become
a necessity. The changing nature of urban traffic makes traditional traffic management …
a necessity. The changing nature of urban traffic makes traditional traffic management …
Grey wolf optimizer with deep learning based short term traffic forecasting in smart city environment
Intelligent Transportation System (ITS) is one of the revolutionary technologies in smart cities
that aids in minimizing traffic congestion and improving traffic quality. ITS provides real-time …
that aids in minimizing traffic congestion and improving traffic quality. ITS provides real-time …
GAMS Optimization Application for Electric Vehicles for Energy Distribution Scheme
S Mittal - 2024 1st International Conference on Sustainable …, 2024 - ieeexplore.ieee.org
I In arrange to fathom the optimization celerity condition for electric car charging stations, an
optimization expedite technique is compared in this consider utilizing the Common …
optimization expedite technique is compared in this consider utilizing the Common …