Artificial intelligence-based solutions for climate change: a review
L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …
systems, and inducing global economic losses of over $500 billion. These issues may be …
Artificial intelligence evolution in smart buildings for energy efficiency
The emerging concept of smart buildings, which requires the incorporation of sensors and
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
[HTML][HTML] AI enabled applications towards intelligent transportation
LS Iyer - Transportation Engineering, 2021 - Elsevier
Artificial intelligence (AI) is the ability of a machine to perform cognitive functions like
perceiving, reasoning, learning and problem-solving which humans are capable of …
perceiving, reasoning, learning and problem-solving which humans are capable of …
Fusion of engineering insights and emerging trends: Intelligent urban traffic management system
Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …
on roads continues to intensify significantly against the slow development of road …
A review of artificial intelligence and machine learning for incident detectors in road transport systems
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
[BUCH][B] Metaheuristic optimization: Nature-inspired algorithms swarm and computational intelligence, theory and applications
MO Okwu, LK Tartibu - 2020 - books.google.com
This book exemplifies how algorithms are developed by mimicking nature. Classical
techniques for solving day-to-day problems is time-consuming and cannot address complex …
techniques for solving day-to-day problems is time-consuming and cannot address complex …
[HTML][HTML] Systematic literature review on the applications, impacts, and public perceptions of autonomous vehicles in road transportation system
As the advancement of driverless technology, together with information and communication
technology moved at a fast pace, autonomous vehicles have attracted great attention from …
technology moved at a fast pace, autonomous vehicles have attracted great attention from …
Comparative traffic flow prediction of a heuristic ANN model and a hybrid ANN-PSO model in the traffic flow modelling of vehicles at a four-way signalized road …
The accurate and effective prediction of the traffic flow of vehicles plays a significant role in
the construction and planning of signalized road intersections. The application of artificially …
the construction and planning of signalized road intersections. The application of artificially …
[HTML][HTML] Prediction and modeling of traffic flow of human-driven vehicles at a signalized road intersection using artificial neural network model: A South African road …
In recent years, an increasing number of models and algorithms based on time series
prediction and machine learning have been applied to traffic flow prediction, with good …
prediction and machine learning have been applied to traffic flow prediction, with good …
Autonomous vehicles: an analysis both on their distinctiveness and the potential impact on urban transport systems
Autonomous driving is a technological innovation that involves the use of Artificial
Intelligence (AI) in the automotive area, representing the future of transport and whose …
Intelligence (AI) in the automotive area, representing the future of transport and whose …