[HTML][HTML] A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights

BO Abisoye, Y Sun, W Zenghui - Renewable Energy Focus, 2023 - Elsevier
The efforts to revolutionize electric power generation and produce clean and sustainable
electricity have led to the exploration of renewable energy systems (RES). This form of …

[HTML][HTML] Machine learning for road traffic accident improvement and environmental resource management in the transportation sector

M Megnidio-Tchoukouegno, JA Adedeji - Sustainability, 2023 - mdpi.com
Despite the measures put in place in different countries, road traffic fatalities are still
considered one of the leading causes of death worldwide. Thus, the reduction of traffic …

[HTML][HTML] Short-term traffic congestion prediction using hybrid deep learning technique

M Anjaneyulu, M Kubendiran - Sustainability, 2022 - mdpi.com
A vital problem faced by urban areas, traffic congestion impacts wealth, climate, and air
pollution in cities. Sustainable transportation systems (STSs) play a crucial role in traffic …

[PDF][PDF] Shaping smart city transportation with traffic congestion solutions: Bhubaneswar, Odisha

CK Dey, SP Mishra, KK Barik, DK Sahu - Current Journal of Applied …, 2022 - academia.edu
Transportation and connectivity are of the most domineering aspects of developing cities
and is necessary for ensuring the growth of urban areas. The perplexing, perpetual and …

A Comparison of ML models for predicting congestion in urban cities

Deepika, G Pandove - International Journal of Intelligent Transportation …, 2024 - Springer
This study predicts traffic congestion in four US cities using various machine learning
models. The research utilizes different regression-based models to predict congestion …

[HTML][HTML] Ensemble Learning Traffic Model for Sofia: A Case Study

D Brezov, A Burov - Applied Sciences, 2023 - mdpi.com
Featured Application Optimizing urban traffic/logistics; estimating pollution due to
combustion engines; studying the relation between urban pollution and respiratory …

The Traffic Jam Phenomenon at Traditional Village: A Case of User Perception in Batam, Indonesia

T Resinta, AI Rifaâ - LEADER: Civil Engineering and …, 2023 - ojs.digitalartisan.co.id
The development of transportation is increasing day by day. Increased transportation can
cause a problem, especially land transportation; the problem is traffic congestion. The road …

Precision in Insurance Forecasting: Enhancing Potential with Ensemble and Combination Models based on the Adaptive Neuro-Fuzzy Inference System in the …

A Khalil, Z Liu, A Ali - Applied Artificial Intelligence, 2024 - Taylor & Francis
Enhancing the precision of retention ratio predictions holds profound significance for
insurance industry decision-makers and those vested in advancing insurance services …

Integrated Artificial Intelligence in Data Science

JCW Lin, S Tomasiello, G Srivastava - Applied Sciences, 2023 - mdpi.com
Artificial Intelligence (AI) is increasingly pervading everyday life since it can be used to solve
high-complexity problems, as well as determine optimal solutions, in various domains and …

Traffic prediction in smart cities based on hybrid feature space

N Zafar, IU Haq, H Sohail, M Muneeb - IEEE Access, 2022 - ieeexplore.ieee.org
In smart cities of the future, data will be generated, integrated, processed and utilized from
heterogeneous sources and at varying levels of complexity. For urban traffic planning in …